Linkedin - Python Programming Efficiently

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Linkedin - Python Programming Efficiently (Size: 437.6 MB)
  1. Choose the best libraries for your task.mp4 4.9 MB
  1. Computer architecture and optimization techniques.mp4 3 MB
  1. Install the Anaconda Python distribution on macOS X.mp4 12 MB
  1. Keep taking advantage of Python.mp4 2.6 MB
  1. Object-oriented and functional Python.mp4 3.4 MB
  1. Programming efficiently with Python.mp4 12.6 MB
  1. Writing Python efficiently.mp4 1.6 MB
  2. Base knowledge.mp4 2.8 MB
  2. Divide and conquer with Python classes.mp4 18.3 MB
  2. Download webpages with requests.mp4 17.3 MB
  2. Install the Anaconda Python distribution on Windows.mp4 8.9 MB
  2. Python vs. C.mp4 10.4 MB
  2. Time profiling.mp4 25.3 MB
  3. Design efficient loops.mp4 25.6 MB
  3. Exploit class inheritance.mp4 16.4 MB
  3. Manipulate images with Pillow.mp4 14.1 MB
  3. Memory profiling.mp4 19.8 MB
  3. Work with Jupyter Notebooks.mp4 9.6 MB
  4. Algorithm complexity.mp4 8.4 MB
  4. Comprehensions and generators.mp4 20.8 MB
  4. Functional techniques in Python.mp4 17.8 MB
  4. Parse HTML with Beautiful Soup.mp4 15.7 MB
  5. Exploit Python collections.mp4 21.8 MB
  5. Function decorators.mp4 14.9 MB
  5. Introduction to parallel programming.mp4 10.5 MB
  5. Make movies with Matplotlib.mp4 9.9 MB
  6. Challenge- Bale of turtles.mp4 4.8 MB
  6. Challenge- Inverted index.mp4 6 MB
  6. Serve webpages with Flask.mp4 19.7 MB
  6. Write Pythonic code.mp4 24.2 MB
  7. Challenge- Analyze Olympic medalist data.mp4 2.6 MB
  7. Challenge- Image-editing application.mp4 5.9 MB
  7. Solution- Bale of turtles.mp4 10.1 MB
  7. Solution- Inverted index.mp4 7.9 MB
  8. Solution- Analyze Olympic medalist data.mp4 4.9 MB
  8. Solution- Image-editing application.mp4 7 MB
  Ch02.zip 488.6 KB
  Ch03.zip 13.3 MB
  Ch04.zip 2.5 MB
  Ch05.zip 151.3 KB
  ▲ 40 total files

Description


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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.

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