文件列表:

1.Basics/
2.input_output/
3_Operator/
4_conditional_statement/
5_Loops/
Python Import/
python_programs/
01Basics1_first.py
Python Roadmap.pdf
image.png
weatherAPI.py

# Python-Roadmap  ### Python Roadmap 1. Introduction and Basics of Python 2. Operators 3. Conditional Statements 4. While Loops 5. Lists 6. Strings 7. For Loop 8. Functions 9. Dictionary 10. Tuples 11. Set 12. Object-Oriented Programming 13. File Handling 14. Exception Handling 15. Regular Expression 16. Modules and Packages 17. Data Structures 18. Higher-Order Functions 19. Python Web Scrapping 20. Virtual Environment 21. Web Application Project 22. Git and GitHub 23. Deployment 24. Python Package Manager 25. Python with MongoDB Database 26. Building API 27. Statistics with NumPy 28. Data Analysis with Pandas 29. Data Visualization with Matplotlib ## 1 | Introduction and Basics - Installation - Python Org, Python 3 - Variables - Print function - Input from user - Data Types - Type Conversion - First Program ## 2 | Operators - Arithmetic Operators - Relational Operators - Bitwise Operators - Logical Operators - Assignment Operators - Compound Operators - Membership Operators - Identity Operators ## 3 | Conditional Statements - If Else - If - Else - El If (else if) - If Else Ternary Expression ## 4 | While Loop - While loop logic building - Series based Questions - Break - Continue - Nested While Loops - Pattern-Based Questions - pass - Loop else ## 5 | Lists - List Basics - List Operations - List Comprehensions / Slicing - List Methods ## 6 | Strings - String Basics - String Literals - String Operations - String Comprehensions / Slicing - String Methods ## 7 | For Loops - Range function - For loop - Nested For Loops - Pattern-Based Questions - Break - Continue - Pass - Loop else ## 8 | Functions - Definition - Call - Function Arguments - Default Arguments - Docstrings - Scope - Special functions Lambda, Map, and Filter - Recursion - Functional Programming and Reference Functions ## 9 | Dictionary - Dictionaries Basics - Operations - Comprehensions - Dictionaries Methods ## 10 | Tuple - Tuples Basics - Tuples Comprehensions / Slicing - Tuple Functions - Tuple Methods ## 11 | Set - Sets Basics - Sets Operations - Union - Intersection - Difference and Symmetric Difference ## 12 | Object-Oriented Programming - Classes - Objects - Method Calls - Inheritance and Its Types - Overloading - Overriding - Data Hiding - Operator Overloading ## 13 | File Handling - File Basics - Opening Files - Reading Files - Writing Files - Editing Files - Working with different extensions of file - With Statements ## 14 | Exception Handling - Common Exceptions - Exception Handling - Try - Except - Try except else - Finally - Raising exceptions - Assertion ## 15 | Regular Expression - Basic RE functions - Patterns - Meta Characters - Character Classes ## 16 | Modules & Packages - Different types of modules - Inbuilt modules - OS - Sys - Statistics - Math - String - Random - Create your own module - Building Packages - Build your own python module and deploy it on pip ## 17 | Data Structures - Stack - Queue - Linked Lists - Sorting - Searching - Linear Search - Binary Search ## 18 | Higher-Order Functions - Function as a parameter - Function as a return value - Closures - Decorators - Map, Filter, Reduce Functions ## 19 | Python Web Scrapping - Understanding BeautifulSoup - Extracting Data from websites - Extracting Tables - Data in JSON format ## 20 | Virtual Environment - Virtual Environment Setup ## 21 | Web Application Project - Flask - Project Structure - Routes - Templates - Navigations ## 22 | Git and GitHub - Git - Version Control System - GitHub Profile building - Manage your work on GitHub ## 23 | Deployment - Heroku Deployment - Flask Integration ## 24 | Python Package Manager - What is PIP? - Installation - PIP Freeze - Creating Your Own Package - Upload it on PIP ## 25 | Python with MongoDB Database - SQL and NoSQL - Connecting to MongoDB URI - Flask application and MongoDB integration - CRUD Operations - Find - Delete - Drop ## 26 | Building API - API (Application Programming Interface) - Building API - Structure of an API - PUT - POST - DELETE - Using Postman ## 27 | Statistics with NumPy - Statistics - NumPy basics - Working with Matrix - Linear Algebra operations - Descriptive Statistics ## 28 | Data Analysis with Pandas - Data Analysis basics - Dataframe operations - Working with 2-dimensional data - Data Cleaning - Data Grouping ## 29 | Data Visualization with Matplotlib - Matplotlib Basics - Working with plots - Plot - Pie Chart - Histogram

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