Python: Programming Efficiently

Cut down on development time by writing Python code in an efficient manner. Learn about helpful third-party packages, strategies for improving code performance, and more.

Introduction

• Programming efficiently with Python
• Base knowledge

1. Installation and Setup

• Install the Anaconda Python distribution on macOS X
• Install the Anaconda Python distribution on Windows
• Work with Jupyter Notebooks

2. Writing Python Efficiently

• Writing Python efficiently
• Python vs. C
• Design efficient loops
• Comprehensions and generators
• Exploit Python collections
• Write Pythonic code
• Challenge: Analyze Olympic medalist data
• Solution: Analyze Olympic medalist data

3. Leveraging Python Libraries

• Choose the best libraries for your task
• Download webpages with requests
• Manipulate images with Pillow
• Parse HTML with Beautiful Soup
• Make movies with Matplotlib
• Serve webpages with Flask
• Challenge: Image-editing application
• Solution: Image-editing application

4. Efficient Python with Object-Oriented and Functional Programming

• Object-oriented and functional Python
• Divide and conquer with Python classes
• Exploit class inheritance
• Functional techniques in Python
• Function decorators
• Challenge: Bale of turtles
• Solution: Bale of turtles

5. Performance Optimization in Python

• Computer architecture and optimization techniques
• Time profiling
• Memory profiling
• Algorithm complexity
• Introduction to parallel programming
• Challenge: Inverted index
• Solution: Inverted index

Conclusion

• Keep taking advantage of Python