#3 Python Full Course | Python Tutorial For Beginners in Hindi

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Control Flow
Functions and Modules
File Handling
Object-Oriented Programming (OOP) in Python
Advanced Data Structures
Error Handling and Debugging
Python Standard Library
File Handling and Input/Output
Regular Expressions
Web Development with Python
Database Access
GUI Programming
Data Analysis and Visualization
Machine Learning and Data Science with Python
Web Development Tools
Concurrency and Asynchronous Programming
Best Practices and Coding Style
Testing in Python
Introduction to Python:
Overview of Python
Python history and evolution
Python installation and setup
Python Basics:
Variables and Data Types
Operators (Arithmetic, Assignment, Comparison, Logical)
Strings
Lists
Tuples
Dictionaries
Sets
Control Flow:
Conditional Statements (if, elif, else)
Loops (for loop, while loop)
Break and Continue statements
Exception Handling (try, except, finally)
Functions and Modules:
Function definition and calling
Parameters and Arguments
Return statement
Lambda functions
Built-in functions
Creating and using modules
File Handling:
Reading from and writing to files
File modes (read, write, append)
Handling text and binary files
Object-Oriented Programming (OOP) in Python:
Classes and Objects
Inheritance
Polymorphism
Encapsulation
Abstraction
Advanced Data Structures:
Collections module (deque, defaultdict, Counter, namedtuple)
Advanced usage of lists, tuples, dictionaries, and sets
Error Handling and Debugging:
Debugging techniques
Common errors and how to handle them
Python Standard Library:
Explore various modules (os, sys, math, random, datetime, etc.)
Working with datetime, calendar, and other built-in modules
File Handling and Input/Output:
Reading and writing CSV, JSON, XML files
Serialization and Deserialization
Regular Expressions:
Pattern matching using regex in Python
Web Development with Python:
Basics of web frameworks (Flask, Django)
Web scraping with BeautifulSoup or Scrapy
Database Access:
Connecting to databases (SQLite, MySQL, PostgreSQL)
Performing CRUD operations
GUI Programming:
Introduction to GUI libraries like Tkinter, PyQt, or Kivy
Data Analysis and Visualization:
NumPy and Pandas for data manipulation
Matplotlib, Seaborn, Plotly for data visualization
Machine Learning and Data Science with Python:
Introduction to machine learning libraries (scikit-learn, TensorFlow, Keras)
Basics of data preprocessing, model building, and evaluation
Web Development Tools:
Flask/Django for building web applications
JavaScript integration with Python backend
Concurrency and Asynchronous Programming:
Multithreading and multiprocessing in Python
Asyncio and asynchronous programming
Best Practices and Coding Style:
PEP 8 guidelines
Code refactoring and optimization
Testing in Python:
Unit testing with unittest or pytest
Test-driven development (TDD)