Python

Do More. Code Less.

What You'll Learn

• Introduction
• Basics
• Control Flow
• Data Structures
• Functions
• Modules and Packages
• Object-Oriented Programming
• File Handling
• Error Handling
• Advanced Python
• Useful Libraries
• Database Access
• Web Development
• Testing and Debugging
• Automation and Scripting
• Python Overview
• Setting Up Python
• Python Syntax Basics
• First Steps with Python
• Comparing Python with Other Languages
• Variables and Data Types
• Input and Output
• Type Conversion
• Comments and Code Readability
• Naming Conventions
• Conditional Statements
• Loops in Python
• Loop Control Mechanisms
• Nested Control Structures
• Working with Strings
• Lists
• Tuples
• Sets
• Dictionaries
• Comprehensions
• Iterators and Generators
• Defining and Calling Functions
• Function Arguments and Parameters
• Lambda Functions
• Return Values
• Recursion
• Variable Scope in Functions
• Importing Modules
• Built-in Modules
• Creating Custom Modules
• Working with Packages
• Virtual Environments
• Managing Packages with pip
• Classes and Objects
• Attributes and Methods
• Constructors and Initializers
• Inheritance and Polymorphism
• Encapsulation and Abstraction
• Class Methods and Static Methods
• Using super() and Method Resolution
• Reading and Writing Text Files
• File Modes and File Pointers
• Using Context Managers (with)
• Working with CSV Files
• Handling JSON Data
• Types of Errors and Exceptions
• Try, Except, Finally Blocks
• Raising Exceptions
• Built-in vs Custom Exceptions
• Exception Handling Best Practices
• Decorators
• Advanced Generators
• Context Managers
• Functional Programming Tools
• Coroutines and Async Programming
• Introduction to Metaclasses
• Memory Management in Python
• Math Module
• Random Module
• Date and Time Handling
• Regular Expressions (re)
• File and OS Operations (os, sys, shutil)
• Data Structures Enhancements (collections, itertools)
• Web APIs (requests)
• Data Analysis Libraries (NumPy, Pandas)
• Visualization Tools (matplotlib)
• SQLite in Python
• Connecting to MySQL/PostgreSQL
• Executing SQL Queries
• Using ORMs (SQLAlchemy Intro)
• Transactions and Error Handling
• Introduction to Web Frameworks
• Flask Basics (Routing, Templates)
• Django Overview
• Handling Forms and Requests
• Creating REST APIs
• Working with JSON and HTTP Methods
• Debugging Techniques
• Using assert and Logging
• Writing Unit Tests (unittest)
• Introduction to pytest
• Handling and Fixing Common Bugs
• Automating File Operations
• Web Scraping with BeautifulSoup
• Automating Excel Tasks (openpyxl)
• Sending Emails with Python
• Task Scheduling and Timers
• System Automation with subprocess