Python Skills

Core Python Skills

  • Understanding of Python Syntax and Semantics
  • Data Types, Variables, and Operators
  • Control Flow (Loops, Conditionals)
  • Functions and Modules
  • Exception Handling
  • File I/O Operations
  • List Comprehensions and Generator Expressions
  • Working with Libraries and Virtual Environments

Python 3.x

  • New Syntax Features (e.g., f-strings, type hints)
  • Asyncio for Asynchronous Programming
  • Data Classes and Named Tuples
  • Enhanced Dictionary Comprehensions
  • New Standard Library Modules (e.g., pathlib, statistics)
  • Improved Performance and Memory Management
  • Context Managers and Async Context Managers
  • Pattern Matching (Python 3.10+)

Python Web Development

  • Flask Framework for Lightweight Applications
  • Django Framework for Full-Featured Web Apps
  • RESTful API Development with Flask-RESTful
  • Template Engines (e.g., Jinja2, Django Templates)
  • ORM (Object-Relational Mapping) with SQLAlchemy and Django ORM
  • Understanding of MVC Architecture
  • Session Management and Authentication
  • Deployment and Hosting (e.g., Heroku, AWS)

Data Science and Machine Learning

  • Data Manipulation with Pandas
  • Numerical Computation with NumPy
  • Data Visualization with Matplotlib and Seaborn
  • Machine Learning with Scikit-Learn
  • Deep Learning with TensorFlow and PyTorch
  • Statistical Analysis and Hypothesis Testing
  • Model Evaluation and Hyperparameter Tuning
  • Deployment of Machine Learning Models

Python Libraries and Tools

  • Requests for HTTP Requests
  • BeautifulSoup and Scrapy for Web Scraping
  • SQLAlchemy for Database Interaction
  • Celery for Asynchronous Task Management
  • Pygame for Game Development
  • Pytest for Testing
  • Jupyter Notebooks for Interactive Coding
  • Docker for Containerization

Testing

  • Unit Testing with Pytest
  • Mocking with unittest.mock
  • Integration Testing
  • Behavior-Driven Development (BDD) with Behave
  • Test Coverage with Coverage.py
  • Continuous Integration (CI) Tools (e.g., Travis CI, GitHub Actions)
  • Test-Driven Development (TDD) Practices
  • Static Code Analysis Tools (e.g., pylint, flake8)