Online Classes on Python Basic course

• Data Types and Variables
  • Numbers, strings, booleans
  • Variable naming conventions
• Operators
  • Arithmetic, comparison, logical, and assignment operators
• Keywords and functions
  • User input using input() & Output using print()
  • Built in Functions
  • User defined Functions : UDF
  • Reserved words

• Conditional Statements
  • if, elif, and else statements
  • Nested conditions
• Loops
  • for and while loops
  • Using break and continue

• Defining Functions
  • def keyword and parameters
  • Returning values
• Built-in Functions
  • Common functions like len(), type(), range()
• Scope and Lambda Functions
  • Global vs local variables
  • Anonymous functions using lambda

• Lists
  • Creating, indexing, slicing, and modifying lists
• Tuples
  • Immutable sequences
• Dictionaries
  • Key-value pairs for storing data
• Sets
  • Unique and unordered collections

• String Operations
  • Concatenation, slicing, formatting
• Common String Methods
  • upper(), lower(), split(), join(), replace()
• Regular Expressions
  • Pattern matching using the re module

• Reading and Writing ,Files
  • Opening files using open()
  • Reading, writing, and appending text
• Handling CSV Files
  • Using the csv module for data handling

• Error Types
  • Syntax errors, runtime errors
• Try-Except Blocks
  • Handling exceptions gracefully
• Raising and Customizing Exceptions

This module introduces the concept of modules and packages, focusing on how to organize Python code into reusable components.

• What Are Modules?
  • Overview: Learn what Python modules are and their benefits.
  • Using Built-in Modules: Explore commonly used modules like math, random, and datetime.
• Importing Modules
  • How to use import and from ... import syntax.
  • Understand importing entire modules vs specific functions.
• Creating Custom Modules
  • Learn to write and save Python functions in separate files.
  • Examples of creating reusable modules for calculations or file handling.
• Introduction to Packages
  • What are packages and their differences from modules?
  • Using __init__.py for creating packages.

• Classes and Objects
• Methods and Attributes
• Inheritance

• NumPy: Working with arrays and numerical data
• Pandas: Data manipulation and analysis
• Matplotlib: Plotting basic graphs and visualizations

• Simple Calculator
• To-Do List Manager
• Basic Data Analysis with Pandas
• Text File Analyzer

• Python documentation: https://docs.python.org/3/
• Community: Python Discord, Stack Overflow