Swift Lessons: Python
Discover a wide range of topics and in-depth lessons designed to help you build a solid understanding of Python. Whether you're just getting started or looking to deepen your knowledge, there's something here for every level of learner.
Core Python
- Introduction to Python
- Python Syntax and Basics
- Data Types and Variables in Python
- Control Flow in Python
- Python Functions and Lambda
- Python Modules and Packages
- File I/O in Python
- Exception Handling in Python
- Python Standard Library Overview
- Working with Strings in Python
- Lists, Tuples, and Dictionaries in Python
- Sets and Frozenset in Python
- Comprehensions in Python
- Iterators and Generators in Python
- Decorators in Python
- Context Managers in Python
Advanced Python
- Advanced Functions and Closures
- Metaprogramming and Metaclasses
- Reflection and Introspection
- Memory Management and Garbage Collection
- Multithreading in Python
- Multiprocessing in Python
- Asynchronous Programming with Asyncio
- Coroutines and the Event Loop
- Python Type Hints and Static Typing
- Advanced OOP Concepts in Python
- Design Patterns in Python
- Functional Programming in Python
- Lambda and Higher-Order Functions in Python
Concurrency & Parallelism
Data Science & Machine Learning
- Introduction to NumPy
- Data Manipulation with Pandas
- Data Visualization with Matplotlib
- Data Visualization with Seaborn
- Machine Learning with Scikit-Learn
- Deep Learning with TensorFlow
- Deep Learning with PyTorch
- Natural Language Processing with NLTK
- Introduction to SciPy
- Statistical Analysis with StatsModels
- Advanced Data Wrangling with Pandas
- Time Series Analysis with Python
- Data Mining Techniques in Python
- Feature Engineering in Python
- Model Evaluation and Validation in Python
Web Development
Scripting & Automation
- Automating Tasks with Python Scripting
- Regular Expressions in Python
- Working with JSON and XML
- Automating File System Operations
- Python Subprocess Module for Automation
- Scheduling Tasks with Python (APScheduler)
- Automating Web Browsers with Selenium
- Automating Excel with Python
- Command-Line Interfaces with argparse
Testing & Debugging
DevOps & Cloud
- Containerizing Python Applications with Docker
- Introduction to Kubernetes for Python Apps
- Deploying Python Applications to AWS
- Deploying Python Applications to Azure
- Deploying Python Applications to Google Cloud
- Virtual Environments and Dependency Management
- Python Packaging and Distribution
- Serverless Python with AWS Lambda
- Monitoring and Logging for Python Applications
Frameworks & Libraries
- Introduction to Requests Library
- Web Scraping with Scrapy
- Introduction to Pandas Extensions
- Data Visualization with Plotly
- Building GUIs with Tkinter
- Building GUIs with PyQt
- Network Programming with Sockets
- Building REST APIs with Falcon
- Building Chatbots with Rasa
- Image Processing with OpenCV
- Scientific Computing with Jupyter Notebooks
- Interactive Data Analysis with IPython
- Introduction to Data Science Libraries
Enterprise Python / Microservices
- Python for Enterprise: Overview and Best Practices
- Microservices Architecture with Flask
- Microservices Architecture with FastAPI
- Asynchronous Microservices with Python
- Event-Driven Architecture in Python
- API Gateway Patterns for Python Microservices
- Service Mesh for Python Microservices
- Distributed Transactions in Python Microservices
- Integration Patterns for Python Microservices
- Container Orchestration for Python Services with Kubernetes
- Cloud-Native Python Applications
- Building GraphQL APIs with Python
- Security Patterns in Python Microservices
- Monitoring and Logging for Python Microservices
- Resilient Architecture for Python Microservices
- Serverless Microservices with Python and AWS Lambda
- Data Pipelines for Python Microservices
- Domain-Driven Design in Python Microservices
- Testing Strategies for Python Microservices
- Future Trends in Python for Enterprise Applications
- Overview of Python Microservices Architecture
- Enterprise Python Best Practices
- Python-Based Integration Patterns for Enterprise