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31.

The mmap() copy-on-write trick: reducing memory usage of array copies

pythonspeed.com

6 years ago

14 points

32.

Vectorization speeds up your Python code

pythonspeed.com

4 years ago

14 points

33.

The worst so-called “best practice” for Docker

pythonspeed.com

5 years ago

13 points

34.

Making pip installs a little less slow

pythonspeed.com

4 years ago

13 points

35.

“Let’s use Kubernetes ” Now you have 8 problems

pythonspeed.com

6 years ago

12 points

36.

Simple Dockerfile examples are often broken by default (2019)

pythonspeed.com

4 years ago

10 points

37.

Pip vs. Conda: an in-depth comparison of Python’s two packaging systems

pythonspeed.com

5 years ago

10 points

38.

Using Alpine can make Python Docker builds 50× slower

pythonspeed.com

5 years ago

10 points

39.

Speed up pip downloads in Docker with BuildKit’s new caching

pythonspeed.com

5 years ago

10 points

40.

Should you use uv's managed Python in production?

pythonspeed.com

2 years ago

9 points

41.

Testing the compiler optimizations your code relies on

pythonspeed.com

9 months ago

9 points

42.

Should you use uv's managed Python in production?

pythonspeed.com

2 years ago

8 points

43.

Early speed optimizations aren’t premature

pythonspeed.com

4 years ago

7 points

44.

CentOS 8 is dead: choosing a replacement Docker image

pythonspeed.com

4 years ago

7 points

45.

When should you upgrade to Python 3.12?

pythonspeed.com

3 years ago

7 points

46.

When should you upgrade to Python 3.11?

pythonspeed.com

4 years ago

6 points

47.

It’s time to stop using Python 3.6

pythonspeed.com

5 years ago

6 points

48.

It’s time to stop using Python 3.7

pythonspeed.com

4 years ago

6 points

49.

“Externally managed environments”: when PEP 668 breaks pip

pythonspeed.com

3 years ago

6 points

50.

Why Polars uses less memory than Pandas

pythonspeed.com

3 years ago

6 points

51.

Processing large JSON files in Python without running out of memory

pythonspeed.com

4 years ago

6 points

52.

Push and pull: when and why to update your application dependencies

pythonspeed.com

6 years ago

6 points

53.

Shrink your Conda Docker images with conda-pack

pythonspeed.com

6 years ago

5 points

54.

It's time to stop using Python 3.8

pythonspeed.com

2 years ago

5 points

55.

The Performance Overhead of Python C Extensions

pythonspeed.com

5 years ago

5 points

56.

Farewell to fsync(): 10× faster database tests with Docker

pythonspeed.com

7 years ago

5 points

57.

NumPy 2 is coming: preventing breakage, updating your code

pythonspeed.com

2 years ago

5 points

58.

Speeding up text processing in Python (is hard)

pythonspeed.com

3 years ago

5 points

59.

When Python can’t thread: a deep-dive into the GIL’s impact

pythonspeed.com

4 years ago

5 points

60.

Speeding Up NumPy with Parallelism

pythonspeed.com

5 months ago

5 points