Python Performance (Dan Tofan, 2023)

Creation Time	June 5, 2024, 12:05 p.m.
Last Access Time	Dec. 24, 2024, 7:16 a.m.
File Size	372.0 MB
Keywords	Python Performance Dan 2023 Tofan
Total Requests	87
Total Files	70
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3. Using the Right Data Structures/6. Comparing Dataclass, Dictionary, and NamedTuple.mp4 15.7 MB
2. Measuring Performance/4. Why Profile.mp4 15.6 MB
2. Measuring Performance/6. Visualizing Profiling Data.mp4 14.3 MB
3. Using the Right Data Structures/3. Comparing Sets and Tuples.mp4 14.1 MB
2. Measuring Performance/5. More Profilers.mp4 13.9 MB
7. Using More Processes/1. Process-based Parallelism.mp4 13.7 MB
6. Using Asynchronous Code/3. When to Use asyncio.mp4 13.6 MB
2. Measuring Performance/3. Basic Ways to Measure Performance.mp4 13.4 MB
3. Using the Right Data Structures/2. Comparing Lists and Arrays.mp4 13.1 MB
3. Using the Right Data Structures/5. Using Dictionaries.mp4 13.1 MB
4. Optimizing Python Code/3. Efficient Iterations with Generators.mp4 12.5 MB
6. Using Asynchronous Code/2. Challenges of Working with asyncio.mp4 12.5 MB
4. Optimizing Python Code/1. Caching.mp4 12.4 MB
3. Using the Right Data Structures/1. Which Data Structure Is Faster.mp4 11.9 MB
5. Using More Threads/2. Challenges of Working with Threads.mp4 11.8 MB
5. Using More Threads/1. What Are Threads.mp4 11.8 MB
6. Using Asynchronous Code/1. Asynchronous Code.mp4 11.8 MB
4. Optimizing Python Code/5. Permission or Forgiveness.mp4 11.7 MB
5. Using More Threads/3. When to Use Multithreading.mp4 11.5 MB
4. Optimizing Python Code/7. Optimizing Numerical Calculations.mp4 11.4 MB
7. Using More Processes/4. Scaling from One to More Machines.mp4 11.2 MB
3. Using the Right Data Structures/4. Comparing Queues and Deques.mp4 11.2 MB
4. Optimizing Python Code/9. Risky Optimizations.mp4 11.0 MB
4. Optimizing Python Code/2. For vs. List Comprehension.mp4 10.3 MB
4. Optimizing Python Code/6. Faster Functions.mp4 10.1 MB
4. Optimizing Python Code/4. Fast Concatenation of Strings.mp4 9.6 MB
7. Using More Processes/3. When to Use More Processes.mp4 9.5 MB
4. Optimizing Python Code/8. Interpreter-based Optimizations.mp4 8.0 MB
exercise.7z 7.9 MB
2. Measuring Performance/1. Understanding Performance.mp4 7.3 MB
2. Measuring Performance/2. Strategy to Improve Performance.mp4 4.8 MB
7. Using More Processes/2. Processes Communication.mp4 4.2 MB
7. Using More Processes/5. Summary.mp4 3.6 MB
1. Course Overview/1. Course Overview.mp4 3.2 MB
cover.jpg 134.1 KB
2. Measuring Performance/6. Visualizing Profiling Data.vtt 10.1 KB
2. Measuring Performance/4. Why Profile.vtt 9.7 KB
3. Using the Right Data Structures/1. Which Data Structure Is Faster.vtt 9.3 KB
4. Optimizing Python Code/1. Caching.vtt 9.2 KB
2. Measuring Performance/3. Basic Ways to Measure Performance.vtt 9.1 KB
3. Using the Right Data Structures/6. Comparing Dataclass, Dictionary, and NamedTuple.vtt 8.9 KB
5. Using More Threads/2. Challenges of Working with Threads.vtt 8.7 KB
6. Using Asynchronous Code/1. Asynchronous Code.vtt 8.7 KB
2. Measuring Performance/5. More Profilers.vtt 8.7 KB
3. Using the Right Data Structures/5. Using Dictionaries.vtt 8.4 KB
3. Using the Right Data Structures/3. Comparing Sets and Tuples.vtt 8.3 KB
5. Using More Threads/1. What Are Threads.vtt 8.3 KB
7. Using More Processes/1. Process-based Parallelism.vtt 8.3 KB
2. Measuring Performance/1. Understanding Performance.vtt 8.1 KB
4. Optimizing Python Code/3. Efficient Iterations with Generators.vtt 8.0 KB
6. Using Asynchronous Code/3. When to Use asyncio.vtt 8.0 KB
3. Using the Right Data Structures/2. Comparing Lists and Arrays.vtt 8.0 KB
6. Using Asynchronous Code/2. Challenges of Working with asyncio.vtt 7.8 KB
4. Optimizing Python Code/7. Optimizing Numerical Calculations.vtt 7.8 KB
4. Optimizing Python Code/5. Permission or Forgiveness.vtt 7.8 KB
3. Using the Right Data Structures/4. Comparing Queues and Deques.vtt 7.7 KB
7. Using More Processes/4. Scaling from One to More Machines.vtt 7.7 KB
4. Optimizing Python Code/9. Risky Optimizations.vtt 7.6 KB
7. Using More Processes/3. When to Use More Processes.vtt 7.3 KB
5. Using More Threads/3. When to Use Multithreading.vtt 7.3 KB
4. Optimizing Python Code/4. Fast Concatenation of Strings.vtt 7.0 KB
4. Optimizing Python Code/6. Faster Functions.vtt 6.6 KB
4. Optimizing Python Code/2. For vs. List Comprehension.vtt 6.5 KB
4. Optimizing Python Code/8. Interpreter-based Optimizations.vtt 6.2 KB
2. Measuring Performance/2. Strategy to Improve Performance.vtt 4.9 KB
7. Using More Processes/2. Processes Communication.vtt 4.4 KB
7. Using More Processes/5. Summary.vtt 3.1 KB
playlist.m3u 1.9 KB
1. Course Overview/1. Course Overview.vtt 1.5 KB
~i.txt 988 bytes

Python Performance (Dan Tofan, 2023)

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