Internet with Python ?

? Join the Learn with Python community and connect with other learners to discuss the course and enhance your learning experience! https://learnwithpython.quora.com/ ?

Playlist link to follow the sequence: https://www.youtube.com/watch?v=DQD0d79sqVM&list=PLpMTHmi814W0ALSMHOYipXaO50BKRY3jT ?

? Internet with Python ?

Are you ready to learn Python and take your coding skills to the next level? Join Boulouma in our viral Python course on YouTube, where you'll learn everything from the Python basics to advanced tips and tricks for mastering the Python language. Our comprehensive tutorials will help you get started with Python programming, whether you're a beginner or an experienced coder looking to expand your skills. With Python, you'll be able to build your own programs, automate tasks, and even develop machine learning algorithms and AI systems. And with our fun and engaging approach, learning Python has never been more entertaining. So grab your favorite ? and start coding with Python today!

? Contact: https://amin.boulouma.com
? Code: https://github.com/jjjjamess/youtube

#python #pythoncourse #pythontutorial

? Course Contents ?
1. Setting up the environment with Jupyter Notebook
2. A simple Introduction to Python
3. Create a calculator with Python
3.1. Numbers
3.2. Strings
3.3. Lists
3.4. First Steps Towards Programming
4. Control Flow Tools
4.1. if Statements
4.2. for Statements
4.3. The range() Function
4.4. break and continue Statements, and else Clauses on Loops
4.5. pass Statements
4.6. Defining Functions
4.7. More on Defining Functions
4.7.1. Default Argument Values
4.7.2. Keyword Arguments
4.7.3. Special parameters
4.7.3.1. Positional-or-Keyword Arguments
4.7.3.2. Positional-Only Parameters
4.7.3.3. Keyword-Only Arguments
4.7.3.4. Function Examples
4.7.3.5. Recap
4.7.4. Arbitrary Argument Lists
4.7.5. Unpacking Argument Lists
4.7.6. Lambda Expressions
4.7.7. Documentation Strings
4.7.8. Function Annotations
4.8. Intermezzo: Coding Style
5. Data Structures
5.1. More on Lists
5.1.1. Using Lists as Stacks
5.1.2. Using Lists as Queues
5.1.3. List Comprehensions
5.1.4. Nested List Comprehensions
5.2. The del statement
5.3. Tuples and Sequences
5.4. Sets
5.5. Dictionaries
5.6. Looping Techniques
5.7. More on Conditions
5.8. Comparing Sequences and Other Types
6. Modules
6.1. More on Modules
6.1.1. Executing modules as scripts
6.1.2. The Module Search Path
6.1.3. “Compiled” Python files
6.2. Standard Modules
6.3. The dir() Function
6.4. Packages
6.4.1. Importing * From a Package
6.4.2. Intra-package References
6.4.3. Packages in Multiple Directories
7. Input and Output
7.1. Fancier Output Formatting
7.1.1. Formatted String Literals
7.1.2. The String format() Method
7.1.3. Manual String Formatting
7.1.4. Old string formatting
7.2. Reading and Writing Files
7.2.1. Methods of File Objects
7.2.2. Saving structured data with json
8. Errors and Exceptions
8.1. Syntax Errors
8.2. Exceptions
8.3. Handling Exceptions
8.4. Raising Exceptions
8.5. Exception Chaining
8.6. User-defined Exceptions
8.7. Defining Clean-up Actions
8.8. Predefined Clean-up Actions
9. Classes
9.1. A Word About Names and Objects
9.2. Python Scopes and Namespaces
9.2.1. Scopes and Namespaces Example
9.3. A First Look at Classes
9.3.1. Class Definition Syntax
9.3.2. Class Objects
9.3.3. Instance Objects
9.3.4. Method Objects
9.3.5. Class and Instance Variables
9.4. Random Remarks
9.5. Inheritance
9.5.1. Multiple Inheritance
9.6. Private Variables
9.7. Odds and Ends
9.8. Iterators
9.9. Generators
9.10. Generator Expressions
10. Brief Tour of the Standard Library
10.1. Operating System Interface
10.2. File Wildcards
10.3. Command Line Arguments
10.4. Error Output Redirection and Program Termination
10.5. String Pattern Matching
10.6. Mathematics
10.7. Internet Access
10.8. Dates and Times
10.9. Data Compression
10.10. Performance Measurement
10.11. Quality Control
10.12. Batteries Included
11. Brief Tour of the Standard Library — Part II
11.1. Output Formatting
11.2. Templating
11.3. Working with Binary Data Record Layouts
11.4. Multi-threading
11.5. Logging
11.6. Weak References
11.7. Tools for Working with Lists
11.8. Decimal Floating Point Arithmetic
12. Virtual Environments and Packages
12.1. Introduction
12.2. Creating Virtual Environments
12.3. Managing Packages with pip

Python, Python course, Python tutorial, Python for beginners, Python programming, Python language, Python basics, Python tips, Python tricks, Python tips and tricks, Python tips for beginners, Python tricks for beginners, Learn Python, Python learning, Python education, Python learning for beginners