Python Performance (Dan Tofan, 2023)

磁力链接/BT种子名称

Python Performance (Dan Tofan, 2023)

磁力链接/BT种子简介

种子哈希：ac8244f81e26f65c6b540d9a6a836a2c32672927
文件大小：372.02M
已经下载：15048次
下载速度：极快
收录时间：2023-11-12
最近下载：2025-10-09

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磁力链接

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文件列表

  • 3. Using the Right Data Structures/6. Comparing Dataclass, Dictionary, and NamedTuple.mp4 16.5 MB
  • 2. Measuring Performance/4. Why Profile.mp4 16.3 MB
  • 2. Measuring Performance/6. Visualizing Profiling Data.mp4 15.0 MB
  • 3. Using the Right Data Structures/3. Comparing Sets and Tuples.mp4 14.8 MB
  • 2. Measuring Performance/5. More Profilers.mp4 14.6 MB
  • 7. Using More Processes/1. Process-based Parallelism.mp4 14.3 MB
  • 6. Using Asynchronous Code/3. When to Use asyncio.mp4 14.3 MB
  • 2. Measuring Performance/3. Basic Ways to Measure Performance.mp4 14.0 MB
  • 3. Using the Right Data Structures/2. Comparing Lists and Arrays.mp4 13.7 MB
  • 3. Using the Right Data Structures/5. Using Dictionaries.mp4 13.7 MB
  • 4. Optimizing Python Code/3. Efficient Iterations with Generators.mp4 13.1 MB
  • 6. Using Asynchronous Code/2. Challenges of Working with asyncio.mp4 13.1 MB
  • 4. Optimizing Python Code/1. Caching.mp4 13.0 MB
  • 3. Using the Right Data Structures/1. Which Data Structure Is Faster.mp4 12.4 MB
  • 5. Using More Threads/2. Challenges of Working with Threads.mp4 12.4 MB
  • 5. Using More Threads/1. What Are Threads.mp4 12.4 MB
  • 6. Using Asynchronous Code/1. Asynchronous Code.mp4 12.3 MB
  • 4. Optimizing Python Code/5. Permission or Forgiveness.mp4 12.3 MB
  • 5. Using More Threads/3. When to Use Multithreading.mp4 12.1 MB
  • 4. Optimizing Python Code/7. Optimizing Numerical Calculations.mp4 12.0 MB
  • 7. Using More Processes/4. Scaling from One to More Machines.mp4 11.7 MB
  • 3. Using the Right Data Structures/4. Comparing Queues and Deques.mp4 11.7 MB
  • 4. Optimizing Python Code/9. Risky Optimizations.mp4 11.6 MB
  • 4. Optimizing Python Code/2. For vs. List Comprehension.mp4 10.8 MB
  • 4. Optimizing Python Code/6. Faster Functions.mp4 10.6 MB
  • 4. Optimizing Python Code/4. Fast Concatenation of Strings.mp4 10.1 MB
  • 7. Using More Processes/3. When to Use More Processes.mp4 10.0 MB
  • 4. Optimizing Python Code/8. Interpreter-based Optimizations.mp4 8.4 MB
  • exercise.7z 8.3 MB
  • 2. Measuring Performance/1. Understanding Performance.mp4 7.7 MB
  • 2. Measuring Performance/2. Strategy to Improve Performance.mp4 5.1 MB
  • 7. Using More Processes/2. Processes Communication.mp4 4.4 MB
  • 7. Using More Processes/5. Summary.mp4 3.8 MB
  • 1. Course Overview/1. Course Overview.mp4 3.3 MB
  • cover.jpg 137.4 kB
  • 2. Measuring Performance/6. Visualizing Profiling Data.vtt 10.4 kB
  • 2. Measuring Performance/4. Why Profile.vtt 9.9 kB
  • 3. Using the Right Data Structures/1. Which Data Structure Is Faster.vtt 9.6 kB
  • 4. Optimizing Python Code/1. Caching.vtt 9.5 kB
  • 2. Measuring Performance/3. Basic Ways to Measure Performance.vtt 9.3 kB
  • 3. Using the Right Data Structures/6. Comparing Dataclass, Dictionary, and NamedTuple.vtt 9.1 kB
  • 5. Using More Threads/2. Challenges of Working with Threads.vtt 8.9 kB
  • 6. Using Asynchronous Code/1. Asynchronous Code.vtt 8.9 kB
  • 2. Measuring Performance/5. More Profilers.vtt 8.9 kB
  • 3. Using the Right Data Structures/5. Using Dictionaries.vtt 8.6 kB
  • 3. Using the Right Data Structures/3. Comparing Sets and Tuples.vtt 8.5 kB
  • 5. Using More Threads/1. What Are Threads.vtt 8.5 kB
  • 7. Using More Processes/1. Process-based Parallelism.vtt 8.5 kB
  • 2. Measuring Performance/1. Understanding Performance.vtt 8.3 kB
  • 4. Optimizing Python Code/3. Efficient Iterations with Generators.vtt 8.2 kB
  • 6. Using Asynchronous Code/3. When to Use asyncio.vtt 8.2 kB
  • 3. Using the Right Data Structures/2. Comparing Lists and Arrays.vtt 8.2 kB
  • 6. Using Asynchronous Code/2. Challenges of Working with asyncio.vtt 8.0 kB
  • 4. Optimizing Python Code/7. Optimizing Numerical Calculations.vtt 8.0 kB
  • 4. Optimizing Python Code/5. Permission or Forgiveness.vtt 8.0 kB
  • 3. Using the Right Data Structures/4. Comparing Queues and Deques.vtt 7.9 kB
  • 7. Using More Processes/4. Scaling from One to More Machines.vtt 7.8 kB
  • 4. Optimizing Python Code/9. Risky Optimizations.vtt 7.8 kB
  • 7. Using More Processes/3. When to Use More Processes.vtt 7.5 kB
  • 5. Using More Threads/3. When to Use Multithreading.vtt 7.5 kB
  • 4. Optimizing Python Code/4. Fast Concatenation of Strings.vtt 7.2 kB
  • 4. Optimizing Python Code/6. Faster Functions.vtt 6.7 kB
  • 4. Optimizing Python Code/2. For vs. List Comprehension.vtt 6.6 kB
  • 4. Optimizing Python Code/8. Interpreter-based Optimizations.vtt 6.4 kB
  • 2. Measuring Performance/2. Strategy to Improve Performance.vtt 5.1 kB
  • 7. Using More Processes/2. Processes Communication.vtt 4.5 kB
  • 7. Using More Processes/5. Summary.vtt 3.1 kB
  • playlist.m3u 2.0 kB
  • 1. Course Overview/1. Course Overview.vtt 1.5 kB
  • ~i.txt 988 Bytes

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