What is this?
A collection of 100 numpy practice exercises gathered from the numpy mailing list, Stack Overflow, and numpy documentation, with solutions included, meant as both a quick reference and teaching material.
A collection of 100 numpy practice exercises gathered from the numpy mailing list, Stack Overflow, and numpy documentation, with solutions included, meant as both a quick reference and teaching material.Is this a library or just a list of exercises?It's not a library you install — it's a set of exercises distributed as markdown and an IPython notebook, generated from a source text file.
It's not a library you install — it's a set of exercises distributed as markdown and an IPython notebook, generated from a source text file.How do I start solving the exercises?Open the notebook on Binder to run it instantly in the browser, or read the exercises and solutions directly on GitHub.
Open the notebook on Binder to run it instantly in the browser, or read the exercises and solutions directly on GitHub.Do I need anything installed to use it?Just to try the exercises, no — use Binder in the browser. Only if you want to modify the source and regenerate the markdown/notebook files do you need Python with the packages listed in requirements.txt.
Just to try the exercises, no — use Binder in the browser. Only if you want to modify the source and regenerate the markdown/notebook files do you need Python with the packages listed in requirements.txt.Who is this aimed at?Both newcomers looking for numpy practice and people who teach numpy and need a ready-made set of exercises.
Both newcomers looking for numpy practice and people who teach numpy and need a ready-made set of exercises.What is the ktx format mentioned in the repo?KTX (keyed text format) is a minimal human-readable key-value format used to store the exercise text, indexed by keys, from which the markdown and notebook versions are generated.
KTX (keyed text format) is a minimal human-readable key-value format used to store the exercise text, indexed by keys, from which the markdown and notebook versions are generated.Is there more advanced material if 100 exercises aren't enough?The README recommends 'From Python to NumPy' as further reading for extended exercises.
The README recommends 'From Python to NumPy' as further reading for extended exercises.Is this collection available in other languages or ports?Yes, there's a Julia variant called '100 Julia Exercises' linked from the README.
Yes, there's a Julia variant called '100 Julia Exercises' linked from the README.What are similar projects?100-Days-Of-ML-Code, Python-programming-exercises, Probabilistic-Programming-and-Bayesian-Methods-for-Hackers, pandas_exercises, leetcode, PRML, pumpkin-book, PythonDataScienceHandbook
100-Days-Of-ML-Code, Python-programming-exercises, Probabilistic-Programming-and-Bayesian-Methods-for-Hackers, pandas_exercises, leetcode, PRML, pumpkin-book, PythonDataScienceHandbookWhich topics is it in?notebook, exercises, math, jupyter-notebook, numpy, academic, interview-preparation, programming, data-science, reference, beginner-friendly, learning-resources
notebook, exercises, math, jupyter-notebook, numpy, academic, interview-preparation, programming, data-science, reference, beginner-friendly, learning-resources