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Total Python: You Can Master Python Programming in 16 Days
Become a Python Developer. 16 Python Projects. 160 Python Programming Practices. Machine Learning, Data Science, Django+
- Description
- Curriculum
- FAQ
Learn PYTHON Programming in 16 days
Our intensive program was designed for you to learn and practice, in a 16-day study schedule:
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Each day you will create a real and complete program using Python
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Each new concept includes a downloadable PDF so you have everything at hand
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Each video has a theoretical introduction and a practical real world demonstration
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Each lesson comes with 3 coding exercises for you to practice what you have learned
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Each topic ends with a quiz to reinforce what you’ve learned
Your Python Programming learning path is divided into 3 parts:
Day 1 to Day 6 = Basic Python Developer training. Learn the fundamental concepts of Python to become a robust programmer with a firm foundation.
Day 7 to day 9 = Advanced Python Phase. Enter Object Oriented Programming (OOP), to create agile, robust, efficient, repeatable, and maintainable programs.
Day 10 onwards: Evolve to Python Expert. You are already an advanced Python programmer, and the time has come to learn about its main real-world applications. You’ll dive into areas of development such as:
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Games
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Graphical Interfaces
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Web Scraping
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Artificial Intelligence
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Web Development
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Data Science
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Facial Recognition
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Machine Learning
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and much (much) more.
Why learn Python from us?
We are Phil Ebiner and Federico Garay, and we are Best Seller instructors, with top ratings on Udemy. We have created many of the best-selling courses worldwide, that are related to programing languages, graphic & visual design, and other very useful resources for software creators.
Phil Ebiner is a world-renowned and acclaimed instructor. His more than 2.5 million students have learned skills ranging from programming to photography, and he has taken online teaching to a new level.
Federico Garay has helped more than 150,000 people achieve life-changing learning. His C#, VBA and Pandas/Python programming courses led many students to achieve that dream job or that much deserved promotion.
Don’t take our word. What are the students of this Python Developer Course saying?
“This program is perfect, the classes well explained and the teachers transmits encouragement and very professional above all, after taking the course I am quite confident to learn more and continue my way in the world of programming and video games.” (Ares Xavier Aren)
“So far I have found it to be an excellent course, quite detailed, but I am not surprised because I have taken another course before with them, and the truth is that you learn because you learn, some of the best teachers I have seen who are really interested in making the subject clear. As soon as I saw these teachers taught this subject, I did not hesitate to buy it…” (Erika Raquel Gutiérrez Aguilar)
“As a novice I wanted to learn programming to have another hobby, but how these guys explains it, how they teaches it, how they knows what they are saying, is convincing me to turn it into a real profession” (Carlos David Villamarin Marrugo)
Why should you learn PYTHON Programming?
Python is one of the most sought-after languages in the world. Because of its simplicity, ductility and flexibility, it has become the language of choice. Its instructions are as close as possible to the human language, which makes it easier to learn, and this makes it ideal for people who are just starting out in the world of programming.
In addition to being simple, it is powerful: with a few lines of code you can perform tasks that in other programming languages would take hundreds of lines, and this considerably increases your productivity.
On the other hand, it is one of the most versatile programming languages in existence, and can be used in many different fields. That is to say, it allows you to program from video games to websites and mobile applications.
Reasons NOT to take this course
We can’t think of any. But if you want to take the course RISK-FREE, remember that you have Udemy’s 100% money back guarantee within 30 days. We are not worried, because we know you’re going to love Total Python.
This is your starting point to explore this interesting field, which you may never have dared to tackle before. This is your chance. In just two days you will overcome all your fears and be ready to go for the most sought-after (and best-paid) programming languages on the planet.
Do you dare to start this exciting adventure that will change your life right now? We are waiting for you in lecture #1.
Phil & Fede
TOTAL PYTHON DAY 2 - PROGRAM A COMMISSION CALCULATOR WITH PYTHON
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Python Course RoadmapWelcome to your python programming journey!
Day one starts with an introduction to Python's philosophy, followed by the installation of necessary software and learning your first basic commands. These fundamentals are essential for any aspiring programmer, forming the building blocks for your future development.
From day two to six, you'll dive into the basic training phase, laying the groundwork for your Python knowledge. This phase is crucial as everything you learn here will serve as the foundation for your future growth.
On day seven, you'll enter the advanced phase, exploring object-oriented programming principles. This knowledge is vital in modern programming, enabling you to create robust and efficient programs.
By day ten, you'll be ready to call yourself a Python programmer, having gained practical experience and comprehensive knowledge of the language.
From day eleven onwards, you'll enter the expert phase, where you'll explore real-world applications of Python, such as machine learning, social network integration, and blockchain.
The course strongly emphasizes hands-on practice. Each day, you'll create full programs from scratch and complete three practical code exercises. Additionally, you'll receive a downloadable document summarizing each topic, helping you build your personal Python manual.
Every video includes a theoretical introduction and practical demonstration, making learning engaging and effective. To reinforce your understanding, you'll have quizzes at the end of each day, allowing you to review and celebrate your achievements.
Now is the time to start your python programming journey. Get ready to explore the fascinating world of Python. So, hit that play button and begin your exciting learning experience right now!
This lesson of Total Python on Udemy covers topics such as: Python programming, Python for beginners, Advanced Python techniques, Python for data analysis, Web development with Django, Python machine learning, Python web scraping, Python automation, Python for data science, Python libraries (e.g., NumPy, Pandas, Matplotlib), Python and API integration, Python game development, Practical Python projects, Python for finance, Object-oriented programming in Python and more. This top-rated Udemy python course contains practice coding exercises throughout each section to assist with your learning.
Enjoy this python course!
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Course Completion Club: Celebrate Your Progress -
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Why Python?
Get ready to embark on an exciting journey into the world of Python programming! In this class, we will explore why Python is the best programming language to learn, especially for beginners like you.
Python's main advantage lies in its classification as a high-level language, which means its instructions resemble human language, making it incredibly user-friendly. Despite its simplicity, Python is a powerful language capable of accomplishing complex tasks with just a few lines of code, enhancing your productivity.
Versatility is another key feature of Python, as it can be used across various fields, from video games to websites and mobile applications. Its large community support ensures access to numerous libraries that enable you to handle various tasks without reinventing the wheel.
Throughout the course, I'll guide you to learn Python in a smooth and natural way, just like having a daily conversation with your machine. The focus is on making the code readable and understandable, ensuring you feel confident in writing and reading Python by the end of the course.
So, get motivated and excited as we dive into the world of Python programming together. You are just a few minutes away from starting your programming journey and unleashing your creativity with Python. Let's begin this exhilarating experience right away!
This lesson of Total Python on Udemy covers topics such as: Python programming, Python for beginners, Advanced Python techniques, Python for data analysis, Web development with Django, Python machine learning, Python web scraping, Python automation, Python for data science, Python libraries (e.g., NumPy, Pandas, Matplotlib), Python and API integration, Python game development, Practical Python projects, Python for finance, Object-oriented programming in Python and more. This top-rated Udemy python course contains practice coding exercises throughout each section to assist with your learning.
Enjoy this python course!
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Day 1 Goal
Welcome to the first day of your Python programming journey! In this course, you'll be creating practical programs with real-life applications every day.
Today's program will help users generate clever and original names for beer brands, though you can adapt it for any product. Keep in mind that your initial programs won't have fancy interfaces. Instead, you'll work with pure code on a black screen until you gain more coding skills.
As you progress, you'll add functionality to make your programs effective and visually appealing. The ultimate goal is to learn how to program effectively, and we'll start by installing Python on your computer and setting up PyCharm, the software we'll use to work with Python.
To create your first program, you'll learn essential tools like the print statement, strings, concatenation, and the input function. Mastering these basics will lay the foundation for more advanced coding later on.
So, let's get started together! I'll be waiting for you in the next lesson as we dive into the exciting world of Python programming. Get ready to unleash your creativity and build amazing programs step by step.
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Installing Python & Pycharm
In this lesson, you will install the software required to write your Python code. Python is like any other language, such as English or Spanish, and can be written anywhere, be it on a notebook, whiteboard, computer, or even a wall.
To write Python code, you have a variety of applications called IDEs (Integrated Development Environments). These IDEs provide tools to assist you with code structure, error detection, debugging, and more. While you can write Python code in a simple notepad, a good IDE makes your life as a programmer much easier.
The recommended IDE for this course is PyCharm. It is powerful, user-friendly, and widely used in real-life programming. Before installing PyCharm, you need to install Python on your computer. You can download the latest version of Python from the official website (python.org). The installation process is straightforward and quick.
Once Python is installed, you can then download and install PyCharm from the official website (jetbrains.com/pycharm). The recommended version is the community edition, which is free and sufficient for learning Python. After installing PyCharm, you can customize its appearance, such as choosing dark mode for reduced eye strain during coding.
With both Python and PyCharm installed, you're ready to start your programming journey. PyCharm provides a user-friendly interface where you will write and run your Python code. You'll learn step by step and gradually become comfortable with the IDE's features.
In the next lesson, you will create your first Python project in PyCharm and begin writing your first lines of Python code. So get excited and let's dive into the world of Python programming together!
This lesson of Total Python on Udemy covers topics such as: Python programming, Python for beginners, Advanced Python techniques, Python for data analysis, Web development with Django, Python machine learning, Python web scraping, Python automation, Python for data science, Python libraries (e.g., NumPy, Pandas, Matplotlib), Python and API integration, Python game development, Practical Python projects, Python for finance, Object-oriented programming in Python and more. This top-rated Udemy python course contains practice coding exercises throughout each section to assist with your learning.
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Print in Python
This text appears to be a transcript of a tutorial or lesson on using the "print" statement in Python, specifically in the PyCharm Integrated Development Environment (IDE). The lesson covers the basics of the "print" statement, how to use it to display text on the screen, and various examples demonstrating its usage.
Here's a summary of the key points covered in the lesson:
1. The "print" statement in Python is used to display output on the screen.
2. Python is a straightforward language, and to display "Hello World" on the screen, you simply write: `print("Hello World")`.
3. The "print" statement is followed by parentheses, and whatever you want to print goes inside these parentheses. For text, you put it between quotation marks.
4. PyCharm provides helpful features like syntax highlighting with different colors for keywords, brackets, and text, as well as quick documentation and error detection.
5. If you forget to include quotation marks or make a mistake in the syntax, PyCharm will mark it as an error and provide hints for correction.
6. You can use both single and double quotation marks for text, and you can print numbers or even perform operations inside the "print" statement.
7. When using quotation marks inside text to represent the quotation mark character, it's best to use single quotation marks for the outer layer and double quotation marks for the inner layer or vice versa.
The lesson concludes by mentioning that more will be learned in the next session.
It appears to be a well-structured tutorial, and learners can follow along easily with the instructions provided.
This lesson of Total Python on Udemy covers topics such as: Python programming, Python for beginners, Advanced Python techniques, Python for data analysis, Web development with Django, Python machine learning, Python web scraping, Python automation, Python for data science, Python libraries (e.g., NumPy, Pandas, Matplotlib), Python and API integration, Python game development, Practical Python projects, Python for finance, Object-oriented programming in Python and more. This top-rated Udemy python course contains practice coding exercises throughout each section to assist with your learning.
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Print Practice #1 -
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Print Practice #2
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Print Practice #3
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Strings in Python
In this lesson of the python programming course, you'll learn Python strings, specifically focusing on string manipulation and special characters. The instructor explains how strings are sequences of characters and demonstrates various string manipulation techniques using the "print" statement in PyCharm IDE.
Here's a summary of the key points covered in the lesson:
1. Strings in Python are text sequences enclosed in single or double quotation marks.
2. Strings can contain not only letters but also numbers or special characters. However, everything inside quotes is treated as text and not evaluated mathematically.
3. To include quotes inside a string, use a different type of quotation mark or use the backslash () as an escape character.
4. The backslash can also be used to insert special characters like newline (n) or tab (t) within a string.
5. To include an actual backslash in the text, use a double backslash (\) as an escape sequence.
6. String concatenation is possible using the plus (+) operator.
7. The backslash is used as an escape character in Python to modify the interpretation of certain characters within a string.
8. By using a backslash before a character, you can force Python to treat it as a special character.
The lesson concludes by thanking the audience and mentioning that more learning will continue in the next session.
The tutorial is well-structured and provides a good understanding of how to manipulate strings in Python, particularly with the help of special characters and escape sequences.
This lesson of Total Python on Udemy covers topics such as: Python programming, Python for beginners, Advanced Python techniques, Python for data analysis, Web development with Django, Python machine learning, Python web scraping, Python automation, Python for data science, Python libraries (e.g., NumPy, Pandas, Matplotlib), Python and API integration, Python game development, Practical Python projects, Python for finance, Object-oriented programming in Python and more. This top-rated Udemy python course contains practice coding exercises throughout each section to assist with your learning.
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String Practice #1
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String Practice #2
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String Practice #3
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Input in Python
In this lesson of the python programming course, you'll be learning the `input` function in Python. The `input` function is used to receive input from the user and can be used in combination with the `print` function to display information on the screen.
The code example demonstrates how to prompt the user for their name and last name using the `input` function, and then how to use the `print` function to display a concatenated message containing the user's input.
Here's a summary of the key points from the lecture:
1. The `input` function is used to ask the user to type something and then store or use that information in the program.
2. The `input` function takes a string argument (prompt) that is displayed to the user to instruct them on what to enter.
3. The `input` function waits for the user to input data and returns the entered value as a string.
4. The `print` function can display text and numbers, and it can also display the result of functions or expressions (e.g., concatenation).
5. To concatenate text with user input obtained using the `input` function, you can use the `+` operator.
Overall, the lecture introduces how to use the `input` function to interact with users and demonstrates how to use it in conjunction with the `print` function to display customized messages based on the user's input.
This lesson of Total Python on Udemy covers topics such as: Python programming, Python for beginners, Advanced Python techniques, Python for data analysis, Web development with Django, Python machine learning, Python web scraping, Python automation, Python for data science, Python libraries (e.g., NumPy, Pandas, Matplotlib), Python and API integration, Python game development, Practical Python projects, Python for finance, Object-oriented programming in Python and more. This top-rated Udemy python course contains practice coding exercises throughout each section to assist with your learning.
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Input Practice #1
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Input Practice #2
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Input Practice #3
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Let's Review Day 1
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Solution - Day 1 Coding Exercises
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Day 1 Python Challenge
Welcome to the most awaited moment of your first day in this python programming course! In this video lesson, you'll be creating your very first solo program, applying everything you've learned so far. Imagine this scenario: Your best friend has started a brewery with an amazing product, but it lacks a unique identity. Don't worry; you're here to help!
The challenge is to create a Python program that asks your friend two questions, each requiring a single-word answer, and then cleverly combines those words to form a creative brand name for the beer. The goal is to come up with something original, creative, and even funny.
You'll learn how to use Python's input function to ask questions and store the user's responses. Then, using the print function, you'll display the combined brand name on the screen. To add some extra flair, you can even have the name of the beer printed in quotation marks, using the print function creatively.
While it might seem like a simple task, this exercise is an exciting challenge, especially for beginners. It's a great opportunity to practice your Python skills and exercise your creativity in generating unique brand names.
Remember, this video lesson is all about applying what you've learned throughout the course, and if you encounter any difficulties, don't worry! The next lecture will help you solve any issues you may face.
So, roll up your sleeves, unleash your creativity, and get ready to build your first python programming beer branding program! Cheers and good luck on your coding journey!
This lesson of Total Python on Udemy covers topics such as: Python programming, Python for beginners, Advanced Python techniques, Python for data analysis, Web development with Django, Python machine learning, Python web scraping, Python automation, Python for data science, Python libraries (e.g., NumPy, Pandas, Matplotlib), Python and API integration, Python game development, Practical Python projects, Python for finance, Object-oriented programming in Python and more. This top-rated Udemy python course contains practice coding exercises throughout each section to assist with your learning.
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Day 1 Python Challenge - Solution
In this video lesson, you'll learn how to create a Python program to generate a creative brand name for a beer. The instructor guides you step-by-step on how to build the code from scratch. The program asks the user two questions, one for a city name and another for a favorite color. Based on the user's input, it cleverly combines the answers and displays the beer's brand name.
The instructor demonstrates various programming concepts like using the `input` function to collect user responses, manipulating strings with concatenation and line breaks, and displaying output using the `print` function. The goal is to have the beer brand name printed with each word in quotation marks on separate lines.
The lesson encourages creativity and experimentation, allowing you to come up with original and funny combinations. It also emphasizes that encountering difficulties while coding is normal and part of the learning process.
The video provides a hands-on approach, and even if you've already completed the project, watching the instructor's solution is beneficial for learning different approaches to the same problem. Remember, there are multiple ways to achieve the desired outcome in programming.
Completing this first-day project marks your successful entry into the course. The instructor congratulates you and encourages you to continue exploring the world of python programming. The next lecture promises to be a special one, so don't miss it. Happy coding!
This lesson of Total Python on Udemy covers topics such as: Python programming, Python for beginners, Advanced Python techniques, Python for data analysis, Web development with Django, Python machine learning, Python web scraping, Python automation, Python for data science, Python libraries (e.g., NumPy, Pandas, Matplotlib), Python and API integration, Python game development, Practical Python projects, Python for finance, Object-oriented programming in Python and more. This top-rated Udemy python course contains practice coding exercises throughout each section to assist with your learning.
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Some Details for Getting Around Udemy
TOTAL PYTHON DAY 3 - PROGRAM A TEXT ANALYZER WITH PYTHON
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Day 2 Goal: What python skills will you learn today?
Welcome to day two of your advanced Python programming training! Today's lesson is going to be exceptional, as you will learn fundamental concepts that are crucial for your future career in programming.
In this session, you will create a commission calculator program, which will be used by employees of a company to calculate their earnings in commissions for the current month. Though the program will be text-based for now, it will pave the way for more advanced projects in the future.
To achieve today's goal, you will learn several essential concepts, such as different data types in Python, data type conversions, working with variables, string formatting for displaying output, performing mathematical operations, and rounding numbers.
Get ready with your favorite drink, whether it's coffee, tea, or water, to keep yourself energized and focused on this exciting journey. Remember that these initial programs may not be visually stunning, but they lay the foundation for your programming expertise.
The instructor encourages you to give your best effort every day and assures you that the learning experience will be unforgettable. So, buckle up for a fantastic learning session and get ready to dive into the world of commission calculations.
The next lecture awaits you, and the instructor can't wait to embark on this adventure together with you. Let's go and make the most of this day!
This lesson of Total Python on Udemy covers topics such as: Python programming, Python for beginners, Advanced Python techniques, Python for data analysis, Web development with Django, Python machine learning, Python web scraping, Python automation, Python for data science, Python libraries (e.g., NumPy, Pandas, Matplotlib), Python and API integration, Python game development, Practical Python projects, Python for finance, Object-oriented programming in Python and more. This top-rated Udemy python course contains practice coding exercises throughout each section to assist with your learning.
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Data Types in Python
Welcome to this lecture about data types!
In programming, we work with various types of data or information. The two most common types are text, also known as strings, and numbers. Text data consists of words, signs, spaces, or even numbers enclosed in quotes. Numbers can be integers (whole numbers) or floating-point numbers (decimal numbers).
In addition to strings and numbers, there are other data types, such as lists, dictionaries, tuples, sets, and booleans:
1. Lists: An ordered collection of objects, written in square brackets, can contain elements of any data type.
2. Dictionaries: Groups of pairs, each consisting of a key and a value, written in curly braces. Pairs are unordered within the dictionary.
3. Tuples: Similar to lists, but their order is immutable, meaning it cannot be modified.
4. Sets: An ordered collection of unique elements, written in curly braces. Unlike lists or dictionaries, sets do not allow repeated elements.
5. Booleans: Logical values that can only be true or false, used for decision-making in code.
To achieve the goal of creating a commission calculator program, we will work with text, numbers (integers and floats), and learn about data type conversions (e.g., converting a string to an integer or float).
These fundamental concepts will set the groundwork for understanding and working with other data types in future lectures. Pay close attention to the practices and have fun learning!
This lesson of Total Python on Udemy covers topics such as: Python programming, Python for beginners, Advanced Python techniques, Python for data analysis, Web development with Django, Python machine learning, Python web scraping, Python automation, Python for data science, Python libraries (e.g., NumPy, Pandas, Matplotlib), Python and API integration, Python game development, Practical Python projects, Python for finance, Object-oriented programming in Python and more. This top-rated Udemy python course contains practice coding exercises throughout each section to assist with your learning.
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Variables in Python
Welcome to the lecture on variables!
Variables are one of the most important concepts in programming. Think of a variable as a box where you can store something. Just like a box can hold different items at different times, a variable can hold different values.
To create a variable, you give it a name and assign a value to it. For example, we can create a variable called "name" and assign the value "John" to it. Later, we can change the value of the variable to "Laura." Variables allow you to store and manipulate data dynamically.
In Python, you can create variables for different types of data, such as strings (text) and numbers (integers or floats). For example, you can create a variable "age" and set its value to 30, and another variable "age_two" with a value of 15. You can then add these variables together, and the result will be stored in another variable, such as "phrase."
You can also use the `input` function to ask the user for input and store it in a variable. For example, you can ask the user to enter their name, and then store the input in a variable called "name." Later, you can use this variable to display personalized messages.
To follow good practices, use meaningful variable names that describe their content. Avoid using single-letter names like "x" or "y" unless they have a specific purpose.
Variables allow you to make your code more dynamic and flexible, and they are fundamental to programming in general. Throughout the course, you will learn more about variables and their various applications.
Remember to organize your code in folders to keep it well-structured, especially as your projects grow in complexity. This will make it easier to find and manage your files.
Keep practicing and learning, and see you in the next lecture!
This lesson of Total Python on Udemy covers topics such as: Python programming, Python for beginners, Advanced Python techniques, Python for data analysis, Web development with Django, Python machine learning, Python web scraping, Python automation, Python for data science, Python libraries (e.g., NumPy, Pandas, Matplotlib), Python and API integration, Python game development, Practical Python projects, Python for finance, Object-oriented programming in Python and more. This top-rated Udemy python course contains practice coding exercises throughout each section to assist with your learning.
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Variables Practice #1
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Variables Practice #2
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Variables Practice #3
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Variable Names in Python
Thank you for the informative lecture on variable naming conventions!
In programming, while we have the freedom to name our variables as we wish, it is essential to follow certain rules and good practices to ensure code readability and maintainability.
Here are some key points to remember:
1. **Descriptive Names**: Choose meaningful names for your variables that clearly convey their purpose. Names like "dog," "dog_name," or "student_name" are more descriptive and easy to understand compared to single-letter names like "D" or overly complex names like "My Dog has a name and this is it."
2. **Single Unit of Text**: Variable names should consist of a single unit of text. Use underscores to separate words in multi-word variable names, such as "student_name."
3. **No Spaces or Special Characters**: Variable names cannot contain spaces or special characters, except for underscores. Avoid using symbols or punctuation marks in variable names.
4. **Numbers in Variable Names**: You can use numbers in variable names, but they cannot be placed at the beginning. For example, "age_1" is acceptable, but "1_age" is not.
5. **Reserved Keywords**: Avoid using Python reserved keywords, such as "input," "print," or others used to structure code. Using these as variable names can lead to confusion and errors.
By adhering to these guidelines, your code will be more readable, and others (including your future self) will find it easier to understand and maintain.
Great job in explaining these rules, and I'm looking forward to the next lecture! Keep up the excellent work in helping learners understand programming concepts better!
This lesson of Total Python on Udemy covers topics such as: Python programming, Python for beginners, Advanced Python techniques, Python for data analysis, Web development with Django, Python machine learning, Python web scraping, Python automation, Python for data science, Python libraries (e.g., NumPy, Pandas, Matplotlib), Python and API integration, Python game development, Practical Python projects, Python for finance, Object-oriented programming in Python and more. This top-rated Udemy python course contains practice coding exercises throughout each section to assist with your learning.
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Integers & Floats in Python
Thank you for the comprehensive lecture on data types, integers, and floats in Python!
You've explained the differences between integers and floats very well. Integers are used for whole numbers, while floats are used for numbers with decimal places. It's crucial to distinguish between them, as they have different use cases.
You've also demonstrated how to declare variables and perform operations with them. Python allows you to store various types of data in variables, and you can perform arithmetic operations on these variables.
A crucial point you've highlighted is the data type of variables. Python is dynamically typed, meaning that the data type of a variable is determined at runtime based on the value assigned to it. For instance, when you take user input using the `input` function, Python treats it as a string, even if the user enters a number.
This dynamic typing can lead to unexpected results when you perform operations on variables with different data types. For example, when you try to concatenate a string and an integer, Python will perform string concatenation instead of addition, as you've demonstrated.
To address this issue, you've mentioned that we need to perform type conversions. Converting data from one type to another can be achieved using functions like `int()` and `float()` to convert strings to integers or floats, respectively.
Overall, you've done a great job explaining these concepts, and I'm looking forward to the next lecture where you'll likely cover type conversions in more detail. Keep up the excellent work!
This lesson of Total Python on Udemy covers topics such as: Python programming, Python for beginners, Advanced Python techniques, Python for data analysis, Web development with Django, Python machine learning, Python web scraping, Python automation, Python for data science, Python libraries (e.g., NumPy, Pandas, Matplotlib), Python and API integration, Python game development, Practical Python projects, Python for finance, Object-oriented programming in Python and more. This top-rated Udemy python course contains practice coding exercises throughout each section to assist with your learning.
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Integers Practice
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Floats Practice
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Data Types Practice
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Conversions between Data Types in Python
The transcript you provided seems to be a section of a coding tutorial or lecture on Python. It discusses the concept of variables and data types in Python, as well as implicit and explicit data type conversions.
In Python, variables can store any kind of data, and you don't need to specify their data type explicitly when declaring them. Python automatically handles data type conversions in some situations, which is known as implicit conversion. For example, when you perform operations with different data types, Python will handle the conversion for you without explicit instructions.
However, there may be cases where you need to explicitly convert data from one type to another, which is called explicit conversion or casting. This is done by using functions like `int()`, `float()`, `str()`, etc., to convert data from one type to another.
The tutorial also shows how to convert user input, which is typically in string format, into other data types, such as integers, to perform calculations. It demonstrates the use of the `int()` function to convert a string representing an age into an integer so that mathematical operations can be performed on it.
Lastly, it mentions that there will be a future lecture on "print strings with values of any type by formatting the strings," which is likely referring to string formatting in Python.
If you have any specific questions or need further explanations about the content in the transcript, feel free to ask!
This lesson of Total Python on Udemy covers topics such as: Python programming, Python for beginners, Advanced Python techniques, Python for data analysis, Web development with Django, Python machine learning, Python web scraping, Python automation, Python for data science, Python libraries (e.g., NumPy, Pandas, Matplotlib), Python and API integration, Python game development, Practical Python projects, Python for finance, Object-oriented programming in Python and more. This top-rated Udemy python course contains practice coding exercises throughout each section to assist with your learning.
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Data Type Conversions Practice #1
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Data Type Conversions Practice #2
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Data Type Conversions Practice #3
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String Formatting in Python
Are you tired of dealing with long, impractical, and hard-to-read string formatting in Python? Look no further! In this video lesson on python programming, we'll teach you two efficient ways to format strings, making your coding experience much smoother.
Often, you need to write a string that contains other variables, like information about a car's color and license plate number. In the traditional approach, you had to resort to casting and concatenation, making your code cluttered and difficult to understand.
But fear not! We've got you covered with two powerful methods to solve this issue:
**1. The Format Function:** In Python, you can use the format function, which allows you to write the phrase as a single string without concatenation. Simply replace the variable values with empty braces, and then use the `format` method followed by the variables inside brackets, separated by commas. This way, you can display any type of variable without the need for casting.
**2. Literal Strings with 'F':** Python 3.6 introduced a game-changer called literal strings. By adding an 'F' before the first quotation mark, you can use curly braces to directly replace variable names within the string. This approach is not only efficient but also highly readable, making it a superior choice for most cases.
Want to see these in action? The video will take you through practical examples, from simple variable replacement to more complex operations, all done with ease using the two formatting techniques. You'll find yourself saving time and effort while writing clean and understandable code.
Whether you prefer the format function or the more modern literal strings, both approaches are valid and widely used in the programming world. Being well-versed in both methods will enhance your ability to read and interpret various code styles as you embark on your journey as a programmer.
This lesson of Total Python on Udemy covers topics such as: Python programming, Python for beginners, Advanced Python techniques, Python for data analysis, Web development with Django, Python machine learning, Python web scraping, Python automation, Python for data science, Python libraries (e.g., NumPy, Pandas, Matplotlib), Python and API integration, Python game development, Practical Python projects, Python for finance, Object-oriented programming in Python and more. This top-rated Udemy python course contains practice coding exercises throughout each section to assist with your learning.
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Strings Formatting Practice #1
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Strings Formatting Practice #2
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Strings Formatting Practice #3
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Mathematical Operators in Python
In the world of programming, numerical operations are fundamental, and Python offers a plethora of ways to perform them. In this video lesson, we will delve into various numerical operations, both basic and more advanced, to empower you with the skills to handle mathematical tasks efficiently.
Starting with the fundamental operations of addition, subtraction, multiplication, and division, we will guide you through the Python syntax for each operation using simple variables. We will demonstrate how to use literal strings, ensuring that you get familiar with this modern and readable approach to coding.
Python's floor division is another vital aspect of numerical operations, rounding down the result of a division to the nearest integer. We will showcase the flow division syntax and highlight its relevance in programming.
The modulo or mod operator is a handy tool that returns the remainder of a division operation. We will illustrate how this operator can be used to determine whether a number is even or odd, showcasing its clever applications in programming.
Powers and square roots are powerful tools that Python makes easily accessible. We will teach you the exponentiation syntax to raise numbers to a given power and demonstrate the simple approach to finding square roots.
As you explore these numerical operations, you'll gain confidence in handling complex calculations and get a taste of the exciting possibilities that await you in the world of Python programming. The knowledge you acquire here will serve as a solid foundation for future programming adventures.
So, join us in the next lecture, where we'll dive into rounding numbers and further enhance your numerical prowess. As mathematics enthusiasts ourselves, we're eager to share the wonders of Python's mathematical capabilities with you. Let's embark on this thrilling journey together!
This lesson of Total Python on Udemy covers topics such as: Python programming, Python for beginners, Advanced Python techniques, Python for data analysis, Web development with Django, Python machine learning, Python web scraping, Python automation, Python for data science, Python libraries (e.g., NumPy, Pandas, Matplotlib), Python and API integration, Python game development, Practical Python projects, Python for finance, Object-oriented programming in Python and more. This top-rated Udemy python course contains practice coding exercises throughout each section to assist with your learning.
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Mathematical Operators Practice #1
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Mathematical Operators Practice #2
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Mathematical Operators Practice #3
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Round Method in Python
In this video lesson on python programming, you will learn about the concept of rounding in Python to make numbers more manageable and easily communicable. Floats, which can have many digits after the decimal point, can be precise but not practical for everyday use. Rounding helps simplify numbers to a desired level of precision.
To round numbers in Python, you can use the `round()` method. It takes two parameters: the number you want to round and the number of decimal places you want in the result. If the second parameter is omitted, Python will assume you want no decimal places by default. The `round()` method can round numbers up or down based on which number is closer to the rounding point.
The video demonstrates various approaches to using the `round()` method. You can apply it directly within a print statement or store the rounded value in a variable. Regardless of the method, the value being rounded remains unaffected, maintaining its original data type. Rounding inside a variable results in an integer, while rounding within the print statement keeps the data type as a float.
By using the `round()` method effectively, you can make numbers more presentable and easy to understand. Whether you're calculating expenses among friends or handling complex AI computations, rounding will help you visualize and communicate numerical results more efficiently.
This lesson of Total Python on Udemy covers topics such as: Python programming, Python for beginners, Advanced Python techniques, Python for data analysis, Web development with Django, Python machine learning, Python web scraping, Python automation, Python for data science, Python libraries (e.g., NumPy, Pandas, Matplotlib), Python and API integration, Python game development, Practical Python projects, Python for finance, Object-oriented programming in Python and more. This top-rated Udemy python course contains practice coding exercises throughout each section to assist with your learning.
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Round Practice #1
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Round Practice #2
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Round Practice #3
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Important: About reviews
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Let's Review Day 2
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Solution - Day 2 Coding Exercises
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Day 2 Python Challenge
The challenge is to create a Python program that calculates the salesperson's commission based on their total sales. The program should ask for the salesperson's name and their total sales for the month, calculate the commission (which is 13% of the total sales), and then display a sentence with the name and the calculated commission.
Here's a possible solution:
```python
# Ask for the salesperson's name and total sales
name = input("Please tell me your name: ")
sales = float(input("Please input your total month sales: "))
# Calculate the commission (13% of the total sales)
commission = round(sales * 0.13, 2)
# Display the result
print(f"Hello, {name}, your commissions this month are ${commission:.2f}.")
```
In this program, we use the `input()` function to receive user input for the salesperson's name and total sales. The `float()` function is used to convert the input of total sales to a float since it's necessary for performing arithmetic operations.
We then calculate the commission by multiplying the total sales by 0.13 (which is 13% represented as a decimal) and round the result to two decimal places using the `round()` function. Finally, we use string formatting (f-string) to create a sentence that includes the name and the calculated commission, ensuring that the commission is displayed with two decimal places.
You can run this program, and it will prompt you to enter the name and total sales of the salesperson. It will then display the sentence with the calculated commission.
This lesson of Total Python on Udemy covers topics such as: Python programming, Python for beginners, Advanced Python techniques, Python for data analysis, Web development with Django, Python machine learning, Python web scraping, Python automation, Python for data science, Python libraries (e.g., NumPy, Pandas, Matplotlib), Python and API integration, Python game development, Practical Python projects, Python for finance, Object-oriented programming in Python and more. This top-rated Udemy python course contains practice coding exercises throughout each section to assist with your learning.
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54
Day 2 Python Challenge - Solution
In this video lesson on python programming, you'll learn how to create a Python program to calculate salesperson commissions. The instructor starts by congratulating students on completing their challenge and encourages them to keep learning. The lesson begins by explaining the need for input and variable usage in the program. Students are guided through creating a new file to start programming from scratch.
The instructor demonstrates how to prompt the user for their name and monthly sales using input and store the responses in variables called "name" and "sales." Since user inputs are initially stored as strings, the instructor explains the importance of converting the sales input into an integer using casting. Next, the commission is calculated by multiplying sales by 13 and dividing by 100.
To enhance the program's output, the instructor shows how to round the commission to two decimal places using the round function. A formatted string is then used to greet the user with their name and display their calculated commission. After running the program, the instructor demonstrates the successful result.
Throughout the lesson, the instructor emphasizes the importance of encountering and solving problems in Python to deepen learning. Different approaches to writing the code are discussed, and students are encouraged to find the one that works best for them.
In conclusion, this video lesson provides a step-by-step guide for students taking the course on python programming to create a Python program that calculates commissions for salespeople. The lesson promotes problem-solving skills and offers tips for efficient code writing. Students are encouraged to practice their newfound knowledge and not miss the upcoming lectures for more learning opportunities in this exciting field.
This lesson of Total Python on Udemy covers topics such as: Python programming, Python for beginners, Advanced Python techniques, Python for data analysis, Web development with Django, Python machine learning, Python web scraping, Python automation, Python for data science, Python libraries (e.g., NumPy, Pandas, Matplotlib), Python and API integration, Python game development, Practical Python projects, Python for finance, Object-oriented programming in Python and more. This top-rated Udemy python course contains practice coding exercises throughout each section to assist with your learning.
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TOTAL PYTHON DAY 4 - PROGRAM THE 'GUESS THE NUMBER' GAME WITH PYTHON
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Day 3 Goal: What python skills will you learn today?
Welcome to the third day of our Python learning journey! Grab your favorite cup of coffee or anything that gets you ready, because by the end of today's lectures, you'll be one step closer to becoming a proficient Python programmer.
Today, we'll dive into exciting new tools that will enable you to create a text parser. What's a text parser? It's a program where the user inputs any text, and the code provides various information about that text, such as word count, letter repetitions, and whether specific words exist in the text, among other things.
You might think it sounds challenging, but fear not! In just a few minutes, you'll be programming this on your own. You'll learn essential concepts like using the index method to search for elements within strings and other data structures, extracting text fragments, and exploring the main methods and properties of strings to manipulate and analyze information.
Moreover, we'll cover all the data types you still need to know, such as lists, dictionaries, tuples, sets, and booleans. All of this learning packed into a single day!
So let's not waste any time and dive straight into the first practical lecture of the day. By the end of it, you'll be well on your way to mastering Python and building your very own text parser. Happy coding!
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Index Method in Python
In this section, we are diving into Python strings and their built-in methods that allow us to manipulate and parse them. Let's start with the "index" method.
A string is a sequence of characters, and each character has an ordered position within that sequence. Python's indexing always starts at 0, so you need to pay attention to this when counting characters. For example, the string "hello" has H at index 0, e at index 1, the first l at index 2, and the second l at index 3.
Python also supports reverse indexing, starting at -1 for the last character and going towards -2, -3, and so on, from right to left. This is useful when you want to find characters from the end of the string.
The "index" method helps us determine two things:
1. Finding the position of a certain character in the string.
2. Finding the character at a specific position in the string.
For finding the position of a character, you can use the syntax `index(substring)` on a string. It will return the first occurrence of the substring's index in the string. However, if the substring is not found, it will raise a ValueError.
```python
# Example: Find the index of 'E' in 'Hello'
my_text = "Hello"
result = my_text.index('E')
print(result) # Output: 1
```
For finding the character at a specific position, you can use the syntax `string[index]`, where `string` is the variable containing the string, and `index` is the position you want to retrieve. Remember, indexing is zero-based.
```python
# Example: Find the character at index 7 in 'This text is a test'
my_text = "This text is a test"
result = my_text[7]
print(result) # Output: 'x'
```
However, you need to be cautious while using the index method as it will return only the first occurrence when multiple characters match the search.
```python
# Example: Find the index of 'S' in 'This text is a test'
my_text = "This text is a test"
result = my_text.index('S')
print(result) # Output: 3
```
You can also add optional parameters to the index method to control where the search starts and ends. For example, you can use `index(substring, start, end)` to search for a substring within a specific range.
```python
# Example: Find the index of the first 'S' after index 5 in 'This text is a test'
my_text = "This text is a test"
result = my_text.index('S', 5)
print(result) # Output: 17
```
Moreover, Python has a similar method called "rindex," which performs reverse indexing. It searches the string from right to left, finding the last occurrence of the substring.
```python
# Example: Find the last occurrence of 'S' in 'This text is a test'
my_text = "This text is a test"
result = my_text.rindex('S')
print(result) # Output: 17
```
Be cautious with both "index" and "rindex" methods, as they raise ValueError if the substring is not found.
These methods can be very useful when you need to locate specific characters or substrings within a string or perform searches from both ends of the string.
This lesson of Total Python on Udemy covers topics such as: Python programming, Python for beginners, Advanced Python techniques, Python for data analysis, Web development with Django, Python machine learning, Python web scraping, Python automation, Python for data science, Python libraries (e.g., NumPy, Pandas, Matplotlib), Python and API integration, Python game development, Practical Python projects, Python for finance, Object-oriented programming in Python and more. This top-rated Udemy python course contains practice coding exercises throughout each section to assist with your learning.
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Index Method Practice #1
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Index Method Practice #2
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Index Method Practice #3
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60
Extracting Sub-Strings in Python
In this video lesson, we delve into Python strings and their powerful built-in method called "slicing" for text manipulation. Slicing allows you to extract specific portions of text from a given string and store them in another variable, granting you greater control over your data.
With slicing, you can easily select a fragment of the string by specifying the starting and ending indexes. The slice includes all characters from the starting index up to, but not including, the ending index. This technique is akin to extracting individual characters using index, but it offers more flexibility by enabling you to extract multiple characters at once.
The syntax for slicing involves using two indexes separated by a colon (`:`). For instance, if you have a string "Hello World," and you want to extract the substring "Wor," you can achieve it through slicing:
```python
my_text = "Hello World"
fragment = my_text[6:9] # Output: "Wor"
```
You can also omit one or both indexes to extract specific parts of the string. For example, leaving the starting index empty means starting from the beginning of the string, while omitting the ending index means going until the end of the string.
Furthermore, you can add a third factor to control the step or the number of characters to skip between each character in the slice. This allows you to extract every nth character from the string easily.
For example:
```python
my_text = "Hello World"
# Extract every second character starting from index 1
fragment = my_text[1::2] # Output: "eoo"
```
Slicing is an essential tool for text manipulation, particularly in tasks that involve processing and extracting specific segments of strings. Mastering string slicing will significantly enhance your ability to handle textual data effectively.
This lesson of Total Python on Udemy covers topics such as: Python programming, Python for beginners, Advanced Python techniques, Python for data analysis, Web development with Django, Python machine learning, Python web scraping, Python automation, Python for data science, Python libraries (e.g., NumPy, Pandas, Matplotlib), Python and API integration, Python game development, Practical Python projects, Python for finance, Object-oriented programming in Python and more. This top-rated Udemy python course contains practice coding exercises throughout each section to assist with your learning.
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61
Extracting Sub-Strings Practice #1
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Extracting Sub-Strings Practice #2
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Extracting Sub-Strings Practice #3
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String Methods in Python
Welcome to this video lesson on essential Python string methods for text manipulation. In this session, we will cover six simple and powerful string methods that will expand your string handling capabilities. These methods are upper, lower, split, join, find, and replace.
1. `upper`: This method transforms the entire string to uppercase letters. For example, "hello" becomes "HELLO."
2. `lower`: Similar to `upper`, this method converts the entire string to lowercase letters. For instance, "WORLD" becomes "world."
3. `split`: The `split` method breaks a string into separate elements based on a specified separator (by default, it uses spaces). The result is stored in a list. For example, "We are learning Python" would become ["We", "are", "learning", "Python"].
4. `join`: The `join` method performs the opposite of `split`. It takes a list of strings and joins them together, using the specified separator. For instance, ["We", "are", "learning", "Python"] can become "We-are-learning-Python" with a hyphen as the separator.
5. `find`: Similar to the `index` method, `find` searches for a given character or substring in the string. However, if the search term is not found, it returns -1 instead of throwing an error.
6. `replace`: The `replace` method allows you to replace a specific part of a string with another substring. For example, "We will learn a lot of methods" can become "We will learn a lot of X" after replacing "methods" with "X."
These are just a few of the many string methods available in Python. To explore the full list, check the PDF notes attached to this lecture.
We encourage you to try out these methods and experiment with strings in your Python code. The more you practice, the more confident you'll become in handling text data. As you proceed through the course, we will explore various practical applications of these methods in real-world python projects.
Don't forget to complete the exercises below and, if you have any questions, feel free to ask. Keep learning and growing with us on this exciting journey into the world of Python and AI!
This lesson of Total Python on Udemy covers topics such as: Python programming, Python for beginners, Advanced Python techniques, Python for data analysis, Web development with Django, Python machine learning, Python web scraping, Python automation, Python for data science, Python libraries (e.g., NumPy, Pandas, Matplotlib), Python and API integration, Python game development, Practical Python projects, Python for finance, Object-oriented programming in Python and more. This top-rated Udemy python course contains practice coding exercises throughout each section to assist with your learning.
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String Methods Practice #1
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String Methods Practice #2
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String Methods Practice #3
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68
String Properties in Python
In this video lesson on python programming, we dive deeper into the properties of strings. After mastering string methods, we explore key characteristics that make strings unique in Python programming.
The first crucial concept is string immutability. Once a string is created, its content and order cannot be changed. Although we may have manipulated strings by extracting substrings, altering their order, or replacing content, we've actually worked with new variables, not modifying the original string.
Next, we explore string concatenation using the plus sign to combine strings. Additionally, we reveal a surprising property—string multiplication. By using the asterisk sign, we can repeat strings multiple times, which can be handy in certain scenarios.
Moreover, we learn how strings can span multiple lines by enclosing them in triple double or single quotes. This method allows for easy line breaks without using the backslash and endline characters.
Furthermore, we demonstrate how to check if a specific substring exists within a string using Python. The code will return either true or false, indicating whether the substring is present or not.
However, we must remember the immutability of strings. Attempting to modify a string directly will result in an error. Instead, we can create new variables with the desired changes.
In this informative video, we use PyCharm to demonstrate these properties in action and showcase practical examples. By understanding these fundamental string properties, you'll be well-equipped to handle various text-based tasks in Python programming.
This lesson of Total Python on Udemy covers topics such as: Python programming, Python for beginners, Advanced Python techniques, Python for data analysis, Web development with Django, Python machine learning, Python web scraping, Python automation, Python for data science, Python libraries (e.g., NumPy, Pandas, Matplotlib), Python and API integration, Python game development, Practical Python projects, Python for finance, Object-oriented programming in Python and more. This top-rated Udemy python course contains practice coding exercises throughout each section to assist with your learning.
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69
String Properties Practice #1
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70
String Properties Practice #2
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71
String Properties Practice #3
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72
Lists in Python
This is a Python programming tutorial on the topic of lists. It explains various concepts related to lists in Python, such as creating lists, indexing, slicing, concatenation, methods like append, pop, sort, and reverse.
The tutorial covers the following key points about lists in Python:
1. Lists are ordered sequences of objects.
2. Lists can contain elements of different data types.
3. Elements in a list are accessed using zero-based indexing.
4. Lists can be concatenated using the '+' operator.
5. The 'append' method adds elements to the end of the list.
6. The 'pop' method removes elements from the list, by default, the last element.
7. The 'sort' method arranges the elements in ascending order.
8. The 'reverse' method reverses the order of elements in the list.
Overall, it's a beginner-level tutorial that introduces the basic concepts of lists in Python and how to use various list methods. Lists are a fundamental data structure in Python and are extensively used in programming.
This lesson of Total Python on Udemy covers topics such as: Python programming, Python for beginners, Advanced Python techniques, Python for data analysis, Web development with Django, Python machine learning, Python web scraping, Python automation, Python for data science, Python libraries (e.g., NumPy, Pandas, Matplotlib), Python and API integration, Python game development, Practical Python projects, Python for finance, Object-oriented programming in Python and more. This top-rated Udemy python course contains practice coding exercises throughout each section to assist with your learning.
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73
Lists Practice #1
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74
Lists Practice #2
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75
Lists Practice #3
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76
Dictionaries in Python
In this video lesson, you will learn about dictionary type objects in Python, which are similar to real-life dictionaries. Just like a regular dictionary contains unique concepts and their definitions, a Python dictionary consists of pairs of keys and their corresponding values. Keys in dictionaries are unique and cannot be repeated, making them useful for storing related data without a specific order.
To create a dictionary in Python, you enclose it in curly braces and separate each key-value pair with commas. The key and its value are separated by colons. Unlike lists, dictionaries do not have a specific order, and you can access values based on their keys rather than indices.
Dictionaries are convenient when you want to store and access values based on their relationships with other concepts. For example, you can use a dictionary to store characteristics of a person and access them by querying their weight, size, or name, regardless of the order in which they were stored.
The video demonstrates how to create and access elements in a dictionary. It shows how to retrieve specific values by using keys, and it highlights that dictionaries can contain various data types for both keys and values. Furthermore, dictionaries can even store other dictionaries or lists inside them.
The instructor also shows how to modify dictionaries by adding new elements or overwriting existing ones. Additionally, you will learn about essential dictionary methods, such as `keys()` to get all the keys, `values()` to retrieve all the values, and `items()` to display all the key-value pairs.
This lesson of Total Python on Udemy covers topics such as: Python programming, Python for beginners, Advanced Python techniques, Python for data analysis, Web development with Django, Python machine learning, Python web scraping, Python automation, Python for data science, Python libraries (e.g., NumPy, Pandas, Matplotlib), Python and API integration, Python game development, Practical Python projects, Python for finance, Object-oriented programming in Python and more. This top-rated Udemy python course contains practice coding exercises throughout each section to assist with your learning.
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77
Dictionaries Practice #1
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78
Dictionaries Practice #2
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79
Dictionaries Practice #3
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80
Tuples in Python
In this video lesson, you will learn about Tuples, a collection of elements similar to lists but with a key difference: they are immutable. Once assigned, the elements in a tuple cannot be changed or reassigned. Tuples are denoted by parentheses and can be created without enclosing them in anything.
The video explains why you might use tuples instead of lists. Tuples consume less memory space and are faster to process because of their immutability. They are suitable for storing structures that you don't want to be modified, making them "damage-proof."
The instructor demonstrates working with tuples in PyCharm, showing how to create a simple tuple with integers and how to access elements using indexing and slicing. Tuples can also contain different types of objects, even nested tuples, lists, or dictionaries.
You will also learn about tuple casting, transforming a tuple into a list and vice versa. The video covers tuple methods such as "count," which counts occurrences of a specific value, and "index," which finds the index of a given value.
While tuples are not used as frequently as other data types, understanding their properties can be valuable in certain scenarios. The video concludes with exercises to reinforce your understanding.
This lesson of Total Python on Udemy covers topics such as: Python programming, Python for beginners, Advanced Python techniques, Python for data analysis, Web development with Django, Python machine learning, Python web scraping, Python automation, Python for data science, Python libraries (e.g., NumPy, Pandas, Matplotlib), Python and API integration, Python game development, Practical Python projects, Python for finance, Object-oriented programming in Python and more. This top-rated Udemy python course contains practice coding exercises throughout each section to assist with your learning.
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81
Tuples Practice #1
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82
Tuples Practice #2
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83
Tuples Practice #3
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84
Sets in Python
This video lesson introduces Python sets, a collection of unique elements with no specific order. Sets can be declared using the `set` keyword and enclosing elements in parentheses or directly using curly braces. Unlike lists or dictionaries, sets do not support indexing or item assignment.
The most important feature of sets is that they do not allow duplicate elements. If you try to add a repeated element, Python will automatically remove the duplicates, ensuring uniqueness. However, sets can only contain immutable elements, meaning you cannot include lists or dictionaries in a set.
The video also demonstrates various set methods. The `add` method is used to add new elements, but duplicates are ignored. The `remove` method eliminates a specific element, and `discard` does the same but without raising an error if the element is not present. The `pop` method removes a random element from the set, and `clear` empties the set.
Overall, sets are a valuable data structure in Python for ensuring unique collections of elements without a specific order.
This lesson of Total Python on Udemy covers topics such as: Python programming, Python for beginners, Advanced Python techniques, Python for data analysis, Web development with Django, Python machine learning, Python web scraping, Python automation, Python for data science, Python libraries (e.g., NumPy, Pandas, Matplotlib), Python and API integration, Python game development, Practical Python projects, Python for finance, Object-oriented programming in Python and more. This top-rated Udemy python course contains practice coding exercises throughout each section to assist with your learning.
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85
Sets Practice #1
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86
Sets Practice #2
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87
Sets Practice #3
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88
Booleans in Python
The tutorial covers various aspects of booleans, including:
1. How to create booleans directly by assigning `True` or `False` to a variable.
2. How to create booleans indirectly by using comparison operators (`<`, `>`, `<=`, `>=`, `==`, `!=`) to evaluate expressions.
3. How to explicitly use the `bool()` function to create booleans from expressions.
4. How booleans can be used to check if a value is present in a list or collection using the `in` or `not in` keywords.
Overall, the tutorial aims to provide a clear understanding of booleans and their importance in making logical decisions within Python programs.
This lesson of Total Python on Udemy covers topics such as: Python programming, Python for beginners, Advanced Python techniques, Python for data analysis, Web development with Django, Python machine learning, Python web scraping, Python automation, Python for data science, Python libraries (e.g., NumPy, Pandas, Matplotlib), Python and API integration, Python game development, Practical Python projects, Python for finance, Object-oriented programming in Python and more. This top-rated Udemy python course contains practice coding exercises throughout each section to assist with your learning.
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89
Booleans Practice #1
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90
Booleans Practice #2
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91
Booleans Practice #3
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92
Let's Review Day 3
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93
Solution - Day 3 Coding Exercises
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94
Day 3 Python Challenge
In this lesson of the python course, you'll learn:
Task: Create a text parser program that performs five types of analysis on user-provided input:
1. Count how many times each of the chosen letters appears in the text.
- Store the letters in a list and use a string method to count occurrences (case-insensitive).
- Convert both the original text and the letters to lowercase for accurate counting.
2. Determine how many words are in the whole text.
- Use a string method to transform the text into a list of words.
- Find the length of the list to get the number of words.
3. Find the first and last letters of the text using indexing.
4. Show how the text would look like if the order of the words were inverted.
- Use a list method to reverse the order of the words.
- Join the elements with spaces to reconstruct the inverted text.
5. Check if the word "python" is present in the text.
- Use Booleans to make the inquiry.
- Use a dictionary to express the answer.
This lesson of Total Python on Udemy covers topics such as: Python programming, Python for beginners, Advanced Python techniques, Python for data analysis, Web development with Django, Python machine learning, Python web scraping, Python automation, Python for data science, Python libraries (e.g., NumPy, Pandas, Matplotlib), Python and API integration, Python game development, Practical Python projects, Python for finance, Object-oriented programming in Python and more. This top-rated Udemy python course contains practice coding exercises throughout each section to assist with your learning.
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95
Day 3 Python Challenge - Solution
In this video lesson on python programming, you will learn how to create a text parser in Python using PyCharm. The instructor starts by explaining that the parser might get a bit complicated, but not to worry, as it will help you improve your coding skills.
The lesson begins with the instructor introducing the variables "text" and "letters" that the user will enter. The text will be transformed to lowercase to simplify the search process. The user is asked to enter three letters that will be stored in the "letters" list.
Next, the instructor demonstrates how to count the number of occurrences of each letter in the text and displays the results to the user.
After that, the lesson covers how to count the number of words in the given text and presents the count to the user.
The video then focuses on finding the first and last letters of the text and displays them as part of a sentence.
Lastly, the lesson shows how to reverse the order of words in the text and presents the result to the user.
As an extra challenge, the lesson introduces searching for the word "python" in the text and displays whether it was found or not.
Throughout the lesson, the instructor emphasizes that there are multiple ways to approach these tasks and encourages students to experiment and find their own solutions.
This video lesson is a comprehensive guide on building a text parser in Python using PyCharm. It covers various aspects of text manipulation, counting, and searching, which will help you understand and work with AI tools more effectively.
This lesson of Total Python on Udemy covers topics such as: Python programming, Python for beginners, Advanced Python techniques, Python for data analysis, Web development with Django, Python machine learning, Python web scraping, Python automation, Python for data science, Python libraries (e.g., NumPy, Pandas, Matplotlib), Python and API integration, Python game development, Practical Python projects, Python for finance, Object-oriented programming in Python and more. This top-rated Udemy python course contains practice coding exercises throughout each section to assist with your learning.
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Course details
Video
26 hours
Lectures
17
Certificate of Completion
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