https://github.com/mihirh19/python

a repository for collaborative development and version control using Git that houses Python code files, documentation, tests, and other project-related files.
https://github.com/mihirh19/python

algorithms data-structures django fastapi flask machine-learning numpy pandas python

Last synced: 18 days ago
JSON representation

a repository for collaborative development and version control using Git that houses Python code files, documentation, tests, and other project-related files.

• Host: GitHub
• URL: https://github.com/mihirh19/python
• Owner: mihirh19
• License: mit
• Created: 2023-04-10T08:11:09.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2023-09-29T07:49:43.000Z (about 1 year ago)
• Last Synced: 2023-09-30T07:06:34.618Z (about 1 year ago)
• Topics: algorithms, data-structures, django, fastapi, flask, machine-learning, numpy, pandas, python
• Language: Jupyter Notebook
• Homepage:
• Size: 1.76 MB
• Stars: 1
• Watchers: 1
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE
  • Code of conduct: CODE_OF_CONDUCT.md

Awesome Lists containing this project

README

        
# Python Programming Topics

### This repository provides an overview of different Python programming topics, categorized into the following sections:

----

## 1. Basic Python:

    - Variables, data types, and operators

    - Control flow statements (if, for, while)

    - Functions and modules

    - Exception handling

    - Os module

    - File I/O

    - Basic input/output

---

## 2. Advanced Python:

    - Object-oriented programming (OOP) concepts

    - Regular expressions

    - Decorators and generators

    - Context managers

    - Metaclasses

    - Pythonic coding practices

    - Advanced input/output

----

## 3. Web Development:

    - Flask or Django web frameworks

    - Routing and handling HTTP requests

    - Database connectivity (SQLAlchemy, Django ORM, MongoDB, MYSQL)

    - Template engines (Jinja2)

    - Authentication and authorization

    - RESTFUL APIs

    - Front-end development (HTML, CSS, JavaScript)

    - Deployment and hosting

----

## 4. Data Science and Machine Learning:

    - NumPy, pandas, and matplotlib for data analysis and visualization

    - Machine learning libraries (scikit-learn, TensorFlow, PyTorch)

    - Data preprocessing and feature engineering

    - Model training, evaluation, and selection

    - Deep learning concepts (neural networks, convolutional neural networks, recurrent neural networks)

    - Model deployment and serving

    - Natural language processing (NLP) and text mining

    - Data visualization and reporting (matplotlib, seaborn, Tableau)

----

## 5. Code Optimization:

    - Profiling and benchmarking

    - Memory management

    - Algorithm optimization

    - Performance tuning techniques

    - Cython and other approaches for improving code efficiency

    - Compiler flags and optimization options

    - Best practices for optimizing Python code

----

## 6. Data Structures and Algorithms (DSA):

    - Arrays, lists, stacks, queues, and dictionaries

    - Searching and sorting algorithms (binary search, quicksort, mergesort)

    - Graph algorithms (DFS, BFS, Dijkstra's algorithm, etc.)

    - Dynamic programming

    - Recursion

    - Big O notation and time complexity analysis

    - Trees and their traversal (binary trees, B-trees, heaps, etc.)

    - Advanced data structures (hash tables, sets, tries)

----

    Note: These categories are not mutually exclusive, and there may be some overlap between them. Python is a versatile language that can be used for a wide range of applications, and learning different topics within Python can help you become a well-rounded programmer.

----

Happy coding!🐍💻