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.
Table of Contents
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
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
datetimefor date and time operationsmathandrandomfor 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
sqlite3library 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
Conclusion
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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