If you use Python + VS Code for ML, data science, or experiments, you probably have this problem:
Which Python environment is my notebook actually using?
Global Jupyter.
Random pip install.
Multiple virtualenvs.
Broken kernels.
I work on a React Native app that's old enough to remember when class components were the default. Some packages in node_modules/ have been edited by hand — not patched, not forked, literally opened in a text editor and saved. The "fixes" have been there for years. Nobody kept track of which files. And whenever we onboard a new dev, we hand them a 250 MB .rar of the entire node_modules/ folder, because running yarn install would wipe everything out.
Our setup runs like an old lady. Not in a mean way — it works, it gets to the store and back, it just shouldn't be doing what it's doing in 2026. We have a postinstall hook that mostly works on prayer. We have a Confluence page from 2021 that lists "which packages are safe to reinstall." Half the packages on that list no longer exist.
Somewhere in the last few years, 12+ packages accumulated hand-edits. Some are one-liners. Some are entire sections of code commented out or rewritten. The senior dev who
I ran into a situation where I needed to verify whether a feature branch (J27910_fix) had already been included in a release branch (2616).
At first glance, the history looked messy — multiple merges, unrelated commits, and overlapping changes from other tickets. This made it unclear whether my work (tagged with J27910) had already been merged or if I needed to cherry-pick it manually.
Instead of guessing or risking duplicate changes, I decided to validate it properly using Git.
We have all been there: someone from management needs a list of commit IDs and change summaries for an audit, release notes, or a compliance check. Rather than manually copying 40-character hashes from a web UI into a spreadsheet, you can use native Git formatting flags to generate structured, presentation-ready reports instantly.
To generate a clean CSV containing the short commit hash, author, date, and commit message, run this command in your repository:
git log --pretty=format:'"%h","%an","%ad","%s"' --date=short > commit_report.csvThis guide provides a clean and safe method to install Python 3.12 on Ubuntu 20.04 running under WSL2, without touching the system Python.
Linux distros normally have a Python version tied to the distro and used for various admin scripts. You should not expect to follow the latest releases of Python. And don't try to force change it because you could break your OS. If you need newer Python versions for your work, install it in user space.
Linux 20.04 come with python 3.8 which not supported natively to latest version of python (ex. 3.12.x), so by using pyenv will help you install other version of python without touching OS system, and it won't break your system.
One morning, I had already finished developing a feature on a separate branch. Before creating a Pull Request (PR), I merged main into my feature branch to make sure everything was up to date.
After that, I switched to the main branch and ran:
git pull