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1.
▲
“Let’s use Kubernetes.” Now you have eight problems
pythonspeed.com
469 comments
6 years ago
signa11
719 points
2.
▲
When your data doesn’t fit in memory: the basic techniques
pythonspeed.com
259 comments
7 years ago
itamarst
638 points
3.
▲
Simple Dockerfile examples are often broken by default
pythonspeed.com
157 comments
7 years ago
itamarst
461 points
4.
▲
Alpine makes Python Docker builds slower, and images larger
pythonspeed.com
149 comments
6 years ago
itamarst
306 points
5.
▲
Copying data is wasteful, mutating data is dangerous
pythonspeed.com
153 comments
6 years ago
feross
230 points
6.
▲
A deep dive into the official Docker image for Python
pythonspeed.com
61 comments
6 years ago
itamarst
189 points
7.
▲
How many CPU cores can you use in parallel?
pythonspeed.com
98 comments
3 years ago
itamarst
183 points
8.
▲
Faster Python calculations with Numba
pythonspeed.com
66 comments
4 years ago
rbanffy
148 points
9.
▲
Loading Pydantic models from JSON without running out of memory
pythonspeed.com
45 comments
a year ago
itamarst
134 points
10.
▲
Loading NumPy arrays from disk: mmap() vs. Zarr/HDF5
pythonspeed.com
52 comments
6 years ago
itamarst
119 points
11.
▲
Measuring memory usage in Python: it’s tricky
pythonspeed.com
14 comments
5 years ago
itamarst
116 points
12.
▲
The security scanner that cried wolf
pythonspeed.com
65 comments
5 years ago
feross
104 points
13.
▲
Some reasons to avoid Cython
pythonspeed.com
62 comments
3 years ago
EntICOnc
79 points
14.
▲
Speeding up Cython with SIMD
pythonspeed.com
18 comments
3 years ago
PaulHoule
77 points
15.
▲
Profiling your Numba code
pythonspeed.com
23 comments
2 years ago
itamarst
67 points
16.
▲
Using Alpine can make Python Docker builds 50× slower
pythonspeed.com
43 comments
2 years ago
bomewish
61 points
17.
▲
Making pip installs a little less slow
pythonspeed.com
46 comments
4 years ago
zdw
58 points
18.
▲
Python’s Multiprocessing Performance Problem
pythonspeed.com
82 comments
3 years ago
rbanffy
57 points
19.
▲
Writing software that's reliable enough for production
pythonspeed.com
16 comments
5 years ago
todsacerdoti
48 points
20.
▲
Please stop writing shell scripts
pythonspeed.com
59 comments
4 years ago
itamarst
38 points
21.
▲
The Parallelism Blues: when faster code is slower
pythonspeed.com
23 comments
6 years ago
bibyte
36 points
22.
▲
When NumPy is too slow
pythonspeed.com
7 comments
3 years ago
ingve
26 points
23.
▲
When C extensions crash: easier debugging for your Python test suite
pythonspeed.com
7 comments
7 years ago
itamarst
23 points
24.
▲
Options for packaging your Python code: Wheels, Conda, Docker, and more
pythonspeed.com
5 comments
6 years ago
plessthanpt05
23 points
25.
▲
When to Switch to Python 3.8
pythonspeed.com
26 comments
7 years ago
itamarst
22 points
26.
▲
Installing system packages in Docker with minimal bloat
pythonspeed.com
3 comments
7 years ago
itamarst
19 points
27.
▲
It’s time to stop using Python 3.7
pythonspeed.com
10 comments
4 years ago
ingve
18 points
28.
▲
Docker can slow down your code and distort your benchmarks
pythonspeed.com
1 comment
5 years ago
itamarst
17 points
29.
▲
Multi-stage Docker builds for Python: virtualenv, –user, and other methods
pythonspeed.com
discuss
7 years ago
itamarst
16 points
30.
▲
Finding performance problems: profiling or logging?
pythonspeed.com
1 comment
4 years ago
itamarst
15 points
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