Master Python From Basics To Advanced – Online Training Course Topics

Basic Python  

• Getting Started with Python
  • Installation of Anaconda Distribution  
  • Python Tools & Technologies
    • Python IDEs Overview
      • Comparison of popular IDEs (PyCharm, VS Code, Thonny, etc.)
      • Setting up Python Virtual Environments
    • Working with Jupyter-Lab
      • Line Magic Commands  
      • Cell Magic Commands  
      • Markdown Language    

• Fundamentals of Python
  • Python Basics
    • Indentation  
    • Comments  
    • Variables  
    • Data Types  
    • Type Casting  
    • Operators  
    • Input and Output
  • Control Flow Statements
    • if-else  
    • while  
    • for loop    
  • Range Statement  
  • Strings  
  • Functions
    • Nested Functions  
    • Closure Functions  
    • Lambda Functions    
  • Higher-Order Functions
    • Filter  
    • Map  
    • Reduce    
  • Data Structures
    • Lists
      • Basics of List
      • Advanced List Manipulation (List Comprehension, Slicing etc)  
    • Tuples  
    • Sets  
    • Dictionary  
    • Performance considerations 
  • Shallow and Deep Copy   
  • Testing and Debugging
    • Writing unit tests (unittest or pytest)
    • Debugging techniques
    • Python Errors and Exception Handling  
  • File Handling in Python
    • Working with CSV, Excel, and PDF files
    • Advanced file handling techniques
  • Built-in Modules or Libraries
    • Datetime  
    • Math  
    • Statistics
    • Random
    • os and sys (system interaction)
    • itertools and functools (functional programming)
    • collections (specialized data structures)
    • logging (handling logs)
• Modules, Libraries and Packages
• Working with External Libraries:
  • Introduction to pip
  • Installing and using packages (e.g., requests, beautifulsoup4)
• Pythonic Practices
  • Idiomatic Python code
  • Code style and readability (PEP 8)
  • Zen of Python
• Connecting to Database from Python
  • SQLite 3 for Python
  • Using MySQL with Python 
  • Using MongoDB with Python
• Project 1 – Developing a Real-World Console Based Python Application

Advanced Python

• Object-Oriented Programming (OOP) in Python
  • Introduction to Python Object-Oriented Programming
  • Classes, Objects, and Constructors
  • Static Methods and Class Methods
  • Inheritance and Multiple Inheritance
  • Overriding
  • Properties in Python
  • Abstract Classes and Methods
  • Polymorphism in Python
  • Magic Functions
• Python Advanced Features
  • Python Decorators
  • Python Iterators
  • Python Generators
• Understanding Design Patterns (Creational, Structural and Behavioral Patterns)
• Python for Serialization
  • Pickle for Serialization and Deserialization
• Python for Advanced Functionalities
  • Regular Expressions
  • Working with APIs
    • RESTful API concepts
    • Consuming APIs with Python – Requests Library (for HTTP requests)
  • Beautiful Soup (for parsing HTML and XML documents, web scraping)
• Concurrency and Parallelism
  • Asynchronous programming (asyncio)
  • Multiprocessing
  • Creating Multiple Threads
• Python Web Frameworks
  • Working with Flash using Python
  • Working with Django using Python
  • Working with FastAPI using Python
• Deployment
  • Basic server concepts
  • Deploying Python web applications
• Project 2 – Building a real-world Web Application