If you are working with data scientists, he might not make requirements.txt when he write code in “notebook”. And you often need to run the program on your PC, even though the program only ran on his machine. In this case, you may have to create python virtual envrironment without requirements.txt(or other dependencies list).
Of course, if he who write the program could make it, it would be the easiest solution. But when it is impossible, there are the following solution: you are programmer, so you can use the program. It’s DepHell.
dephell/dephell: Python project management. Manage packages: convert between formats, lock, install, resolve, isolate, test, build graph, show outdated, audit. Manage venvs, build package, bump version.
DepHell has many features. One of them is converting between formats, e.g. requirements.txt, Pipfile, setup.py and so on. Especially, you can convert from your code: that is, it can be generated requirements.txt from import statements.
curl -L dephell.org/install | python3
If you need more detail, see installation documentation.
I show a simple example. If you have a python package like this:
. └── my_package ├── __init__.py └── main.py
main.py is like following.
import numpy as np import pandas as pd from sklearn.svm import SVC import matplotlib.pyplot as plt import seaborn as sns def main(): ... # write something if __name__ == '__main__': main()
In this situation, all you need is running this.
dephell deps convert --from=imports --to=requirements.txt
You will have requirements.txt. It has all packages you need.
$ cat requirements.txt matplotlib numpy pandas scikit-learn seaborn