Learn Python only from the Award Winning Java Expert with 10 years of experience who gives you most profound knowledge both for theoretical and professional purposes. Also teaches various programming languages like C, C++, VB, Assembly along with data structure, algorithm, DBMS and various other computer oriented BTech subjects for over 25 years.
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Module 1: Introduction and Environment Setup
What is Python? (History, Features)
- Python 2 vs. Python 3
- Installing Python, IDLE, and Anaconda
- Setting up IDEs (PyCharm, VS Code)
- Running your first program
Module 2: Python Basics
- Identifiers, Keywords, and Indentation
- Comments and Documentation
- Variables and Data Types (Numbers, Strings, Booleans)
- Type Casting
- Input/Output Operations and Formatting
Module 3: Operators and Expressions
- Arithmetic Operators
- Comparison and Logical Operators
- Bitwise and Assignment Operators
Module 4: Control Flow (Program Structure)
Conditional Statements:
if, elif, else- Loops:
while,for,range() - Loop Control:
break,continue,pass
Module 5: Data Structures (Collections)
- Lists: Indexing, Slicing, Methods
- Tuples: Immutability
- Dictionaries: Key-Value Pairs, Methods
- Sets: Unique Elements
- List and Dictionary Comprehensions
Module 6: Functions and Modules
- Defining Functions, Arguments (
*args,**kwargs) - Return Values and Scope
- Lambda Functions (Anonymous Functions)
- Importing Modules and Standard Libraries
Module 7: Exception Handling and File Handling
- Try, Except, Finally, Else blocks
- Reading and Writing Files (Text, CSV)
- Working with Paths
Module 8: Object-Oriented Programming (OOP)
- Classes and Objects
- Attributes and Methods
- Inheritance, Encapsulation, and Polymorphism
Module 9: Advanced Topics
- Regular Expressions (Regex)
- Date and Time Handling
- Generators and Iterators
- Multithreading
- Database Interaction (SQL/MySQL)
Module 10: Introduction to Libraries & Data Science
- NumPy Basics
- Pandas (DataFrames, Data Manipulation)
- Data Visualization (Matplotlib/Seaborn)
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