Linkedin - Python Programming Efficiently
| 文件类型 | 收录时间 | 最后活跃 | 资源热度 | 文件大小 | 文件数量 |
|---|---|---|---|---|---|
| 视频 | 2024-2-10 01:31 | 2024-12-24 11:19 | 107 | 421.13 MB | 36 |
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文件列表
- 1. Introduction/1. Programming efficiently with Python.mp412.56MB
- 1. Introduction/2. Base knowledge.mp42.76MB
- 2. Installation and Setup/1. Install the Anaconda Python distribution on macOS X.mp412.03MB
- 2. Installation and Setup/2. Install the Anaconda Python distribution on Windows.mp48.87MB
- 2. Installation and Setup/3. Work with Jupyter Notebooks.mp49.57MB
- 3. Writing Python Efficiently/1. Writing Python efficiently.mp41.6MB
- 3. Writing Python Efficiently/2. Python vs. C.mp410.39MB
- 3. Writing Python Efficiently/3. Design efficient loops.mp425.56MB
- 3. Writing Python Efficiently/4. Comprehensions and generators.mp420.83MB
- 3. Writing Python Efficiently/5. Exploit Python collections.mp421.82MB
- 3. Writing Python Efficiently/6. Write Pythonic code.mp424.2MB
- 3. Writing Python Efficiently/7. Challenge- Analyze Olympic medalist data.mp42.55MB
- 3. Writing Python Efficiently/8. Solution- Analyze Olympic medalist data.mp44.9MB
- 4. Leveraging Python Libraries/1. Choose the best libraries for your task.mp44.86MB
- 4. Leveraging Python Libraries/2. Download webpages with requests.mp417.27MB
- 4. Leveraging Python Libraries/3. Manipulate images with Pillow.mp414.08MB
- 4. Leveraging Python Libraries/4. Parse HTML with Beautiful Soup.mp415.66MB
- 4. Leveraging Python Libraries/5. Make movies with Matplotlib.mp49.93MB
- 4. Leveraging Python Libraries/6. Serve webpages with Flask.mp419.71MB
- 4. Leveraging Python Libraries/7. Challenge- Image-editing application.mp45.87MB
- 4. Leveraging Python Libraries/8. Solution- Image-editing application.mp46.95MB
- 5. Efficient Python with Object-Oriented and Functional Programming/1. Object-oriented and functional Python.mp43.44MB
- 5. Efficient Python with Object-Oriented and Functional Programming/2. Divide and conquer with Python classes.mp418.26MB
- 5. Efficient Python with Object-Oriented and Functional Programming/3. Exploit class inheritance.mp416.37MB
- 5. Efficient Python with Object-Oriented and Functional Programming/4. Functional techniques in Python.mp417.77MB
- 5. Efficient Python with Object-Oriented and Functional Programming/5. Function decorators.mp414.91MB
- 5. Efficient Python with Object-Oriented and Functional Programming/6. Challenge- Bale of turtles.mp44.82MB
- 5. Efficient Python with Object-Oriented and Functional Programming/7. Solution- Bale of turtles.mp410.05MB
- 6. Performance Optimization in Python/1. Computer architecture and optimization techniques.mp42.97MB
- 6. Performance Optimization in Python/2. Time profiling.mp425.31MB
- 6. Performance Optimization in Python/3. Memory profiling.mp419.76MB
- 6. Performance Optimization in Python/4. Algorithm complexity.mp48.37MB
- 6. Performance Optimization in Python/5. Introduction to parallel programming.mp410.52MB
- 6. Performance Optimization in Python/6. Challenge- Inverted index.mp46.03MB
- 6. Performance Optimization in Python/7. Solution- Inverted index.mp47.94MB
- 7. Conclusion/1. Keep taking advantage of Python.mp42.65MB
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