Linkedin - Python Programming Efficiently

• 3. Writing Python Efficiently/3. Design efficient loops.mp4-25.56 MB
• 6. Performance Optimization in Python/2. Time profiling.mp4-25.31 MB
• 3. Writing Python Efficiently/6. Write Pythonic code.mp4-24.2 MB
• 3. Writing Python Efficiently/5. Exploit Python collections.mp4-21.82 MB
• 3. Writing Python Efficiently/4. Comprehensions and generators.mp4-20.83 MB
• 6. Performance Optimization in Python/3. Memory profiling.mp4-19.76 MB
• 4. Leveraging Python Libraries/6. Serve webpages with Flask.mp4-19.71 MB
• 5. Efficient Python with Object-Oriented and Functional Programming/2. Divide and conquer with Python classes.mp4-18.26 MB
• 5. Efficient Python with Object-Oriented and Functional Programming/4. Functional techniques in Python.mp4-17.77 MB
• 4. Leveraging Python Libraries/2. Download webpages with requests.mp4-17.27 MB
• 5. Efficient Python with Object-Oriented and Functional Programming/3. Exploit class inheritance.mp4-16.37 MB
• 4. Leveraging Python Libraries/4. Parse HTML with Beautiful Soup.mp4-15.66 MB
• 5. Efficient Python with Object-Oriented and Functional Programming/5. Function decorators.mp4-14.91 MB
• 4. Leveraging Python Libraries/3. Manipulate images with Pillow.mp4-14.08 MB
• Exercise Files/Ch03.zip-13.35 MB
• 1. Introduction/1. Programming efficiently with Python.mp4-12.56 MB
• 2. Installation and Setup/1. Install the Anaconda Python distribution on macOS X.mp4-12.03 MB
• 6. Performance Optimization in Python/5. Introduction to parallel programming.mp4-10.52 MB
• 3. Writing Python Efficiently/2. Python vs. C.mp4-10.39 MB
• 5. Efficient Python with Object-Oriented and Functional Programming/7. Solution- Bale of turtles.mp4-10.05 MB
• 4. Leveraging Python Libraries/5. Make movies with Matplotlib.mp4-9.93 MB
• 2. Installation and Setup/3. Work with Jupyter Notebooks.mp4-9.57 MB
• 2. Installation and Setup/2. Install the Anaconda Python distribution on Windows.mp4-8.87 MB
• 6. Performance Optimization in Python/4. Algorithm complexity.mp4-8.37 MB
• 6. Performance Optimization in Python/7. Solution- Inverted index.mp4-7.94 MB
• 4. Leveraging Python Libraries/8. Solution- Image-editing application.mp4-6.95 MB
• 6. Performance Optimization in Python/6. Challenge- Inverted index.mp4-6.03 MB
• 4. Leveraging Python Libraries/7. Challenge- Image-editing application.mp4-5.87 MB
• 3. Writing Python Efficiently/8. Solution- Analyze Olympic medalist data.mp4-4.9 MB
• 4. Leveraging Python Libraries/1. Choose the best libraries for your task.mp4-4.86 MB
• 5. Efficient Python with Object-Oriented and Functional Programming/6. Challenge- Bale of turtles.mp4-4.82 MB
• 5. Efficient Python with Object-Oriented and Functional Programming/1. Object-oriented and functional Python.mp4-3.44 MB
• 6. Performance Optimization in Python/1. Computer architecture and optimization techniques.mp4-2.97 MB
• 1. Introduction/2. Base knowledge.mp4-2.76 MB
• 7. Conclusion/1. Keep taking advantage of Python.mp4-2.65 MB
• 3. Writing Python Efficiently/7. Challenge- Analyze Olympic medalist data.mp4-2.55 MB
• Exercise Files/Ch04.zip-2.51 MB
• 3. Writing Python Efficiently/1. Writing Python efficiently.mp4-1.6 MB
• Exercise Files/Ch02.zip-488.56 KB
• Exercise Files/Ch05.zip-151.32 KB