python

Jupyter The least excruciating compromise between ease of 1) doing data science and 2) seeming to laypeople to be doing data science 2017-02-09 – 2021-11-24

Python packaging, dependency management and isolation 2011-04-18 – 2021-11-14

Jupyter front end systems UX design by underfunded committee is how I like my data science experience 2017-02-09 – 2021-11-11

Pytorch #torched 2018-05-04 – 2021-11-05

Python debugging, profiling and testing It only looks simple when it’s finished 2019-04-28 – 2021-10-20

Plotting in python Jack of all trades, old master of none 2014-10-07 – 2021-10-20

Matplotlib A way to draw things in python which is better than no way to draw things in python 2014-10-07 – 2021-10-13

Numerical python 2015-04-27 – 2021-09-15

VS Code for python A quite good python IDE 2021-08-10

Tolerating Jupyter’s file format In order to make your python code accessible, we wrapped it into encoded javascript strings. No need to thank us. 2017-02-09 – 2021-08-10

Tensorflow The framework to use for deep learning if you groupthink like Google 2016-07-11 – 2021-07-07

Python CLIs Putting the “argument” in “command-line argument” 2021-07-02

Jupyter UI wrangling What happens inside those notebook cells 2017-02-09 – 2021-06-18

Generic dependency managers 2021-05-03

Python, compilation and acceleration of 2019-10-15 – 2020-09-21

Statistics and ML in python 2015-04-27 – 2020-08-27

Numerical libraries 2016-03-01 – 2020-06-13

Asynchronous Python It can’t be premature optimisation if it took 20 years to start 2018-03-24 – 2020-02-17

Machine listening Statistical models for audio 2014-10-10 – 2019-11-12

UIs in Python interacting with an app, a python app, without too much dicking about 2017-06-03 – 2018-08-10

Python caches The fastest code is the code you don’t run 2018-07-02

Python Syntactic sugar for compiled code 2011-04-18