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ii:labs:03:tasks:01 [2024/11/06 22:12] mircea.braguta [01. [40p] Python environment] |
ii:labs:03:tasks:01 [2024/11/15 03:31] (current) alexandru.bala [01. [30p] Python environment] |
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| - | ==== 01. [40p] Python environment ==== | + | ==== 01. [30p] Python environment ==== |
| Python libraries are collections of reusable code that provide functionality for a wide range of tasks, from data analysis and machine learning to web development and automation. Libraries are often hosted on the Python Package Index (PyPI) and can be easily installed using package managers like **pip**. | Python libraries are collections of reusable code that provide functionality for a wide range of tasks, from data analysis and machine learning to web development and automation. Libraries are often hosted on the Python Package Index (PyPI) and can be easily installed using package managers like **pip**. | ||
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| $ sudo apt install python3 python3-venv python3-pip | $ sudo apt install python3 python3-venv python3-pip | ||
| </code> | </code> | ||
| + | |||
| === [10p] Task 1.2 - Creating the environment === | === [10p] Task 1.2 - Creating the environment === | ||
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| <note tip> | <note tip> | ||
| - | This list of dependencies can be exported (together with the exact version) in a way that allows another user to install the __exact__ same modules in their own virtual environments. The file holding this information in named by convention //requirements.txt//: | + | **WSL and VScode** For those that use wsl, any Library you install and try to use in VScode on windows will not be visible, you must install the wsl extension and open the folder directly from VScode: |
| + | * install the VScode [[https://marketplace.visualstudio.com/items?itemName=ms-vscode-remote.remote-wsl|wsl extension]] | ||
| + | * Ctrl + Shift + P -> WSL: open folder in WSL | ||
| + | |||
| + | You might also want to read the official VSCode documentation about [[https://code.visualstudio.com/docs/python/environments|virtual environments]]. | ||
| + | </note> | ||
| + | |||
| + | <note tip> | ||
| + | This list of dependencies can be exported (together with the exact version) in a way that allows another user to install the __exact__ same modules in their own virtual environments. The file holding this information is named by convention //requirements.txt//: | ||
| <code bash> | <code bash> | ||
| Line 66: | Line 75: | ||
| </note> | </note> | ||
| - | === [10p] Task D - Testing that it works, with python CLI (REPL) === | + | === [10p] Task 1.4 - Testing that it works, with python CLI (REPL) === |
| We can use the **python3** interpreter in interactive mode to quickly test whether our modules installed correctly: | We can use the **python3** interpreter in interactive mode to quickly test whether our modules installed correctly: | ||
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| If you can't import the **requests** module, try to source the activation script again after installing the packages with **pip**. Some versions of **venv** / **pip** might act up. | If you can't import the **requests** module, try to source the activation script again after installing the packages with **pip**. Some versions of **venv** / **pip** might act up. | ||
| </note> | </note> | ||
| + | |||
| + | === [0p] Task 1.5 - Debugging scripts === | ||
| + | |||
| + | If you ever need to debug your python program, the best approach is to open up a shell and run your program a bit tedious (copy pasting each line of the program). However, there's a better method: | ||
| + | |||
| + | <code python> | ||
| + | import IPython | ||
| + | |||
| + | IPython.embed(colors='neutral') | ||
| + | </code> | ||
| + | |||
| + | <note tip> | ||
| + | <code bash> | ||
| + | $ sudo apt install ipython3 | ||
| + | </code> | ||
| + | </note> | ||
| + | |||
| + | This will stop the execution of your script and open an ipython shell that has access to a copy of all your local & global data. Use this to inspect the state of your variables, their types, etc. Exit the shell (Ctrl + D) to continue the execution. | ||
| + | |||
