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Python

Python

6 topics

    1

    Python Fundamentals and Setup

      Setting Up Your Python Environment

      Writing and Executing Your First Python Script

      Working with Variables and Basic Data Types

      Performing Basic Operations

      Getting User Input

      Understanding Lists: Your First Data Structure

      Introduction to Dictionaries for Key-Value Data

      Exploring Tuples and Sets

      Practice Questions

      5

    2

    Control Flow and Functions

      Making Decisions with `if`, `elif`, and `else`

      Repeating Actions with `for` Loops

      Iterating with `while` Loops

      Defining and Calling Functions

      Understanding Variable Scope

      Working with Arguments: *args and **kwargs

      Lambda Functions for Short, Anonymous Functions

      Handling Errors with `try` and `except`

      Practice Questions

      5

    3

    Object-Oriented Programming in Python

      Understanding Classes and Objects

      Implementing Inheritance

      Understanding Encapsulation

      Leveraging Polymorphism

      Working with Special (Dunder) Methods

      Using Static and Class Methods

      Exploring Data Classes for Concise Classes

      Composition vs. Inheritance

      Practice Questions

      5

    4

    Modules, Packages, and File I/O

      Creating and Importing Modules

      Organizing Code with Packages

      Reading from Text Files

      Writing to Text Files

      Working with JSON Data

      Working with CSV Files

      Navigating the File System with `os` and `pathlib`

      Practice Questions

      5

    5

    Advanced Python Concepts

      Writing Generators and Generator Expressions

      Understanding Decorators

      Context Managers and the `with` Statement

      Harnessing Concurrency with `asyncio`

      Parallelism with Multiprocessing

      Metaprogramming with Metaclasses

      Interacting with C Code using `ctypes`

      Python's Data Model and Magic Methods

      Practice Questions

      5

    6

    Python Tooling and Best Practices

      Code Formatting and Linting

      Testing Your Code with `pytest`

      Documenting Your Code

      Managing Dependencies and Packaging

      Debugging and Profiling

      Python's Type Hinting System

      Design Patterns in Python

      Practice Questions

      5
Beginner
Critical

Python Fundamentals and Setup

Setting Up Your Python Environment Introduction to Python Installation Verifying the Installation Understanding the Python Interpreter Introduction to pip: The Package Installer The Importance of Virtual Environments Creating and Activating a Virtual Environment Managing Dependencies with requirements.txt Choosing a Code Editor or IDE Configuring Your Editor for Python Common Setup Pitfalls

Writing and Executing Your First Python Script Introduction to Python Scripts The print() Function Understanding Python Syntax and Indentation What are Comments and Why Use Them Executing a Script from the Command Line Anatomy of a 'Hello, World!' Program Common First-Time Errors Shebang Line for Unix-like Systems Understanding Script Execution Flow Using the Interactive REPL vs. Script Files

Working with Variables and Basic Data Types Introduction to Variables Understanding Python's Dynamic Typing Integers and Floats for Numeric Data Strings for Textual Data Booleans for True/False Values The None Type Checking a Variable's Type with type() Type Casting: Converting Between Types Variable Naming Conventions (PEP 8) Common Mistakes with Variables

Performing Basic Operations Introduction to Operators Arithmetic Operators String Concatenation and Repetition Assignment Operators Comparison Operators Logical Operators (and, or, not) Operator Precedence Type Compatibility in Operations Working with f-Strings for Output Formatting Practical Example: Simple Calculator

Getting User Input Introduction to the input() Function How input() Works Storing User Input in a Variable The input() Return Type is Always a String Converting Input to Numbers Handling Potential ValueError Creating a Simple Interactive Program Providing Clear Prompts Reading Multiple Inputs Real-World Use Cases

Understanding Lists: Your First Data Structure Introduction to Lists Creating a List Accessing Elements by Index Negative Indexing Modifying List Elements Adding Elements to a List Removing Elements from a List Finding the Length of a List Lists Can Hold Mixed Data Types Common IndexError

Introduction to Dictionaries for Key-Value Data Introduction to Dictionaries Creating a Dictionary Accessing Values Using Keys Using the get() Method for Safer Access Modifying and Adding Key-Value Pairs Removing Key-Value Pairs Dictionary Keys and Values Checking for Key Existence Nesting Dictionaries and Lists When to Use a Dictionary vs. a List

Exploring Tuples and Sets Introduction to Tuples Creating and Using Tuples Tuple Unpacking When to Use a Tuple Instead of a List Introduction to Sets Creating and Modifying Sets The Power of Uniqueness in Sets Set Operations: Union, Intersection, and Difference When to Use a Set Comparing Lists, Tuples, Dictionaries, and Sets


In this topic

1

Setting Up Your Python Environment

2

Writing and Executing Your First Python Script

3

Working with Variables and Basic Data Types

4

Performing Basic Operations

5

Getting User Input

6

Understanding Lists: Your First Data Structure

7

Introduction to Dictionaries for Key-Value Data

8

Exploring Tuples and Sets

Practice Questions

5 questions