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45-Day Python Course Roadmap: From Basics to Database Connectivity and Libraries

This 45-day Python course roadmap is designed to take you from a beginner to an intermediate level, covering essential Python concepts, data types, database connectivity, and popular libraries. Each day's plan includes a mix of theory and hands-on practice to ensure a comprehensive learning experience.

Week 1: Python Basics

Day 1-3: Introduction to Python

Install Python and set up the environment

Introduction to Python syntax and basic commands

Variables and data types

Basic I/O operations

Day 4-6: Control Structures

Conditional statements (if, elif, else)

Loops (for, while)

List comprehensions

Day 7: Practice Day

Solve basic problems on control structures and data types

Mostly asked Question [in Interviews ]

Week 2: Data Structures and Functions

Day 8-10: Data Structures

Lists, tuples, sets, and dictionaries

Operations on data structures

Nested data structures

Day 11-12: Functions

Defining and calling functions

Function arguments and return values

Lambda functions and map, filter, reduce

Day 13-14: Practice Day

Create and manipulate complex data structures

Write functions for various tasks

Week 3: Advanced Concepts and File Handling

Day 15-17: Object-Oriented Programming (OOP)

Classes and objects

Attributes and methods

Inheritance and polymorphism

Day 18-19: Error Handling

Try, except, finally

Custom exceptions

Day 20-21: File Handling

Reading from and writing to files

Working with different file types (text, CSV)

Week 4: Modules, Packages, and Standard Libraries

Day 22-23: Modules and Packages

Importing modules

Creating and using packages

Day 24-26: Standard Libraries

datetime for date and time operations

os and sys for interacting with the operating system

math and random for mathematical operations

Day 27-28: Practice Day

Build small projects using standard libraries

Week 5: Database Connectivity

Day 29-31: Introduction to Databases

SQL basics

Setting up SQLite

CRUD operations in SQL

Day 32-34: Connecting Python with Databases

Using sqlite3 library in Python

Executing SQL queries from Python

Handling database connections and cursors

Day 35: Practice Day

Create a small project with SQLite database integration

Week 6: Working with Libraries

Day 36-37: NumPy

Creating arrays

Array operations

Basic statistical functions

Day 38-39: Pandas

DataFrames and Series

Reading and writing data

Data manipulation and analysis

Day 40-41: Matplotlib and Seaborn

Plotting basic graphs with Matplotlib

Advanced visualizations with Seaborn

Day 42: Practice Day

Data analysis project using NumPy, Pandas, Matplotlib, and Seaborn

Week 7: Advanced Libraries and Final Project

Day 43: Web Scraping with BeautifulSoup

Fetching web pages

Parsing HTML

Extracting data

Day 44: API Integration with Requests

Making API requests

Handling responses

Working with JSON data

Day 45: Final Project

Combine all learned concepts into a comprehensive project

Example project: Build a data analysis tool that fetches data from an API, stores it in a database, analyzes it using Pandas, and visualizes the results with Matplotlib

What you will Get after that :-

This 45-day roadmap will provide you with a solid foundation in Python, covering everything from basic syntax to advanced topics like database connectivity and popular libraries. By the end of this course, you will be well-equipped to tackle a wide range of Python programming challenges.

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