I try to explain different ways a python project can be setup in 2020 using virtual environments without relying much on external utilities. Remember the goal is not to discuss about the good or bad practices of using envs but rather to show that there are other ways of doing things which can subtly improve your workflow and productivity as a python developer.

It’s the month of opensource so I thought why not share how I made my first pull request in Dec 2017 (& try to remember) what went down for my first ever contribution on github.

So a small life update ? I mean this could have been a twitter thread as well but you know I have started liking expressing my views like this moreover I wanted to remember this date ;)

At the time of writing this post, my brain might not be in the stable state (I am constantly questioning stuff) and No I am not depressed, neither I am procastinating. This post might feel like a rant, because partly in a way it is but ranting is (I think) good for your brain because.

The amount of data sent (uploaded) & received (downloaded) can be found out using the following bash script.

Do you sometimes forget the actual location of directories & have to juggle through cd & ls to know the right path? In this short post, we discuss how to make a “smart” alternative to cd command on Linux (& probably MacOS 🙄).

If you are a developer then fixing bugs takes time because you have to shift from terminal to your fav browser & then type your query. (and then in between you open reddit/twitter 😅 for some reason, which wanders your attention).

So if you work with Python all day, you already know about Virtual Environments. The only problem with me 😅 is that I end up creating a lot of them when using and making my side-projects. We know that there is a activate script that can be used for this purpose.