Python Programming from Zero to Hero

Module 1: Introduction to Python Programming

• What is Python?

  • Overview of Python: History, features, and use cases

  • Setting up the Python environment: Installing Python and IDEs (e.g., VS Code, PyCharm)

  • Introduction to Jupyter Notebook and how to run Python code

• Basic Python Syntax

  • Writing and running your first Python program

  • Variables, data types, and basic operators

  • Comments and docstrings

  • Taking input from the user and displaying output

IT Requirements:

• Laptop/PC with internet access

• Python installed (available from python.org)

• A code editor (VS Code, PyCharm, or Jupyter Notebook)

Module 2: Data Structures and Control Flow

• Variables, Data Types, and Operators

  • Understanding integers, floats, strings, and booleans

  • Typecasting and basic operators: Arithmetic, relational, and logical operators

• Lists, Tuples, Sets, and Dictionaries

  • Creating and accessing lists, tuples, sets, and dictionaries

  • Modifying and iterating through data structures

  • List comprehensions and basic operations on collections

• Control Flow: Conditional Statements and Loops

  • If, elif, else: Conditional statements

  • Loops: for loops, while loops, and using break, continue

  • Introduction to range function and iteration

IT Requirements:

• Laptop/PC with Python installed

• Text editor or IDE for writing Python code

Module 3: Functions and Object-Oriented Programming (OOP)

• Functions in Python

  • Defining functions: Parameters, arguments, and return values

  • Scope of variables: Local vs global variables

  • Lambda functions and higher-order functions

  • Recursion in Python

• Introduction to Object-Oriented Programming (OOP)

  • What is OOP? Understanding classes and objects

  • Defining classes and methods

  • Inheritance, polymorphism, and encapsulation

  • Practical example: Building a class-based application

IT Requirements:

• Laptop/PC with Python installed

• Text editor or IDE for writing Python code

Module 4: File Handling and Exception Handling

• File Handling

  • Reading and writing to files in Python

  • Handling different file types: Text files, CSV files

  • File modes: read, write, append

  • Using with for file operations

• Exception Handling

  • Understanding errors and exceptions in Python

  • Using try, except, else, and finally for error handling

  • Custom exceptions and error logging

IT Requirements:

• Laptop/PC with Python installed

• Code editor/IDE for writing Python code

• Files for hands-on exercises (text or CSV)

Module 5: Working with Libraries and External Modules

• Using Python Libraries

  • Introduction to Python Standard Library (math, datetime, os, sys)

  • Installing and using third-party libraries with pip

  • Exploring popular libraries: NumPy, Pandas, Requests, Matplotlib

• Working with APIs

  • Introduction to web APIs: What are they and how do they work?

  • Making HTTP requests using the requests library

  • Parsing JSON data and integrating with APIs

IT Requirements:

• Laptop/PC with internet access

• Python installed with access to pip for installing packages

• Libraries like requests, pandas, and matplotlib installed for data-related exercises

Module 6: Data Manipulation and Analysis

• NumPy and Pandas for Data Analysis

  • Introduction to NumPy: Arrays, indexing, and basic operations

  • Pandas for data manipulation: Series, DataFrames, data cleaning, and preprocessing

  • Reading and writing data with Pandas: CSV, Excel, and SQL

• Data Visualization

  • Introduction to Matplotlib for plotting graphs and charts

  • Visualizing data with Matplotlib: Line plots, bar charts, histograms, etc.

  • Creating advanced visualizations using Seaborn

IT Requirements:

• Laptop/PC with Python installed

• Libraries like NumPy, Pandas, and Matplotlib installed

Module 7: Introduction to Web Development with Flask

• Flask: A Web Framework for Python

  • Introduction to Flask and its role in web development

  • Setting up a basic Flask project

  • Creating routes, handling forms, and returning HTML

• Building a Simple Web Application

  • Creating a basic "To-Do List" application

  • Storing user data with Python

  • Implementing HTML templates and forms in Flask

IT Requirements:

• Laptop/PC with Python installed

• Flask library installed (pip install Flask)

• Text editor or IDE for web development

Module 8: Working with Databases

• Introduction to Databases and SQL

  • What is a database? Introduction to relational databases (SQL)

  • Setting up a local SQLite database in Python

  • Performing CRUD operations (Create, Read, Update, Delete) with SQL

• Connecting Python with a Database

  • Using the sqlite3 library in Python

  • Interacting with databases in Python: Fetching, inserting, and updating data

  • Building a small database-driven application

IT Requirements:

• Laptop/PC with Python installed

• SQLite or MySQL database installed (SQLite is built-in with Python)

• Text editor or IDE for Python code and database interaction

Module 9: Final Project and Capstone

• Building Your First Full-Stack Python Application

  • Combining everything learned: Functions, OOP, file handling, database interaction, and web development

  • Project ideas: A task manager, a weather forecasting app, a simple blog, or a personal finance tracker

• Capstone Project

  • Develop a project from start to finish using Python and present it

  • Demonstrating concepts such as data manipulation, web development, and database interaction

IT Requirements:

• Laptop/PC with Python installed

• Code editor/IDE for writing Python code

• Web browser for testing the app (if applicable)

• Database (SQLite or MySQL)

Course Tools & Platforms

• Python Libraries: NumPy, Pandas, Matplotlib, Flask, Requests, SQLite

• Development Environment: VS Code, PyCharm, Jupyter Notebook

• Web Framework: Flask

• Database: SQLite (for simple projects), MySQL (for advanced)