Python Course Roadmap: From Basics to Advance (Day-45 Road Map)

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

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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
Python Course Roadmap: From Basics to Database Connectivity and Libraries
Python Course Roadmap: From Basics to Database Connectivity and Libraries

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)

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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
  • math and random for mathematical operations

Day 27-28: Practice Day

  • Build small projects using standard libraries

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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 with 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


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. Happy coding!

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