Linkedin - Python Programming Efficie...

Description

Course details

Cut down on your development time by learning how to write elegant code in an efficient manner, specifically in Python—the popular and pragmatic computer language. Michele Vallisneri explains how to make your Python code more expressive and concise, and leverage the most powerful features of the language. He shines a spotlight on some of the strongest third-party packages you can take advantage of, discusses object-oriented and functional programming, and shares strategies for improving the performance of your code. Michele illustrates these concepts with many intriguing examples, showing how to make 3D images and animations of the sun, draw fractals, implement a graphical programming language, and more

Files (40)

1. Introduction/1. Programming efficiently with Python.mp412.56 MiB
1. Introduction/2. Base knowledge.mp42.76 MiB
2. Installation and Setup/1. Install the Anaconda Python distribution on macOS X.mp412.03 MiB
2. Installation and Setup/2. Install the Anaconda Python distribution on Windows.mp48.87 MiB
2. Installation and Setup/3. Work with Jupyter Notebooks.mp49.57 MiB
3. Writing Python Efficiently/1. Writing Python efficiently.mp41.6 MiB
3. Writing Python Efficiently/2. Python vs. C.mp410.39 MiB
3. Writing Python Efficiently/3. Design efficient loops.mp425.56 MiB
3. Writing Python Efficiently/4. Comprehensions and generators.mp420.83 MiB
3. Writing Python Efficiently/5. Exploit Python collections.mp421.82 MiB
3. Writing Python Efficiently/6. Write Pythonic code.mp424.2 MiB
3. Writing Python Efficiently/7. Challenge- Analyze Olympic medalist data.mp42.55 MiB
3. Writing Python Efficiently/8. Solution- Analyze Olympic medalist data.mp44.9 MiB
4. Leveraging Python Libraries/1. Choose the best libraries for your task.mp44.86 MiB
4. Leveraging Python Libraries/2. Download webpages with requests.mp417.27 MiB
4. Leveraging Python Libraries/3. Manipulate images with Pillow.mp414.08 MiB
4. Leveraging Python Libraries/4. Parse HTML with Beautiful Soup.mp415.66 MiB
4. Leveraging Python Libraries/5. Make movies with Matplotlib.mp49.93 MiB
4. Leveraging Python Libraries/6. Serve webpages with Flask.mp419.71 MiB
4. Leveraging Python Libraries/7. Challenge- Image-editing application.mp45.87 MiB
4. Leveraging Python Libraries/8. Solution- Image-editing application.mp46.95 MiB
5. Efficient Python with Object-Oriented and Functional Programming/1. Object-oriented and functional Python.mp43.44 MiB
5. Efficient Python with Object-Oriented and Functional Programming/2. Divide and conquer with Python classes.mp418.26 MiB
5. Efficient Python with Object-Oriented and Functional Programming/3. Exploit class inheritance.mp416.37 MiB
5. Efficient Python with Object-Oriented and Functional Programming/4. Functional techniques in Python.mp417.77 MiB
5. Efficient Python with Object-Oriented and Functional Programming/5. Function decorators.mp414.91 MiB
5. Efficient Python with Object-Oriented and Functional Programming/6. Challenge- Bale of turtles.mp44.82 MiB
5. Efficient Python with Object-Oriented and Functional Programming/7. Solution- Bale of turtles.mp410.05 MiB
6. Performance Optimization in Python/1. Computer architecture and optimization techniques.mp42.97 MiB
6. Performance Optimization in Python/2. Time profiling.mp425.31 MiB
6. Performance Optimization in Python/3. Memory profiling.mp419.76 MiB
6. Performance Optimization in Python/4. Algorithm complexity.mp48.37 MiB
6. Performance Optimization in Python/5. Introduction to parallel programming.mp410.52 MiB
6. Performance Optimization in Python/6. Challenge- Inverted index.mp46.03 MiB
6. Performance Optimization in Python/7. Solution- Inverted index.mp47.94 MiB
7. Conclusion/1. Keep taking advantage of Python.mp42.65 MiB
Exercise Files/Ch02.zip488.56 KiB
Exercise Files/Ch03.zip13.35 MiB
Exercise Files/Ch04.zip2.51 MiB
Exercise Files/Ch05.zip151.32 KiB

Linkedin - Python Programming Efficiently

Continue browsing

Description

Files (40)