Python

  • Introduction to Python
    • What is Python? Features & uses
    • Python installation & IDE setup (VS Code, PyCharm, Jupyter, Anaconda)
    • Running Python programs (script mode vs interactive mode)
    • First program: print("Hello, World!")
  • Python Basics
    • Variables & Data Types (int, float, str, bool)
    • Input/Output functions (print(), input())
    • Comments & indentation
    • Type conversion & type() function
  • Operators
    • Arithmetic operators (+, -, *, /, //, %, **)
    • Comparison operators (==, !=, <, >, <=, >=)
    • Logical operators (and, or, not)
    • Assignment operators (+=, -=, etc.)
    • Identity operators (is, is not)
    • Membership operators (in, not in)
  • Control Flow
    • if, elif, else statements
    • Nested conditions
    • for and while loops
    • break, continue, pass
  • Data Structures
    • Strings → indexing, slicing, methods
    • Lists → create, access, update, iterate, list methods
    • Tuples → immutable collections
    • Sets → unique values, set operations (union, intersection)
    • Dictionaries → key-value pairs, methods
  • Functions
    • Defining & calling functions
    • Function arguments (positional, keyword, default, variable-length *args, **kwargs)
    • Return values
    • Lambda (anonymous functions)
    • Scope (local vs global variables)
  • Modules & Packages
    • Importing built-in modules (math, random, datetime, os)
    • Creating your own modules
    • Installing external libraries with pip
  • File Handling
    • Opening & closing files
    • Reading & writing (read(), write(), with open)
    • Working with CSV and JSON files
  • Exception Handling
    • try, except blocks
    • finally, else in exceptions
    • Raising exceptions (raise)
    • Custom exceptions
  • Object-Oriented Programming (OOP)
    • Classes & objects
    • Constructors (__init__)
    • Instance & class variables
    • Methods (instance, class, static)
    • Inheritance (single, multiple, multilevel)
    • Method overriding
    • Encapsulation & Abstraction
    • Polymorphism
    • Special methods (__str__, __len__, etc.)
  • Advanced Python Concepts
    • Iterators & Generators (iter(), next(), yield)
    • Decorators (function decorators, @staticmethod, @classmethod)
    • Regular Expressions (re module)

Adv. Python & Python Analytics

  • Working with APIs
    • Sending HTTP requests with requests
    • JSON handling
  • Database Connectivity
    • Installation
    • Basic CRUD Operations (create, read, insert, update, delete)
    • MySQL with connectors
  • Python for Automation
    • Automating tasks (file renaming, web scraping with BeautifulSoup)
    • Sending emails with Python (smtplib)
    • Working with Excel (openpyxl, pandas)
  • Python for Data Science
    • NumPy → arrays, vectorized operations
    • Pandas → DataFrames, Series, CSV/Excel handling
  • Python for Data Visualization
    • Installing Matplotlib (pip install matplotlib)
    • Basic Plots: Line chart, Bar chart, Pie chart
    • Statistical Plots: Histogram, Scatter plot, Box plot