Awesome PyCharm Extensions For Data Scientists

Welcome back! Data Science is an awesome career path with exploding growth, if you’re new to Data Science, check out the link below to learn more about it:
So, let’s talk about some awesome PyCharm extensions you can use as a data scientist!
Big Data Tools

First up we have Big Data Tools, this is an awesome plugin that allows you to interact with many different big data tools, including:

Check out the link below to learn more about it:
Sonar Lint

Next up we have Sonar Lint, an awesome extension for any data scientist for PyCharm. This specific extension essentially detects and notifies you of problems with your code, this includes mistakes in spelling and even flaws in syntax! If you want to check this extension out, here is the link:
.CSV

This is by far one of my favorite extensions for PyCharm, especially for any data related project. .CSV allows us to edit CSV/TSV and even PSV files very easily, this may seem like the exact opposite of what a data scientist should do (manual editing of data), but it doesn’t hurt to have this extension laying around. If you want to check this extension out, here is the link:
Kite

Next up we have Kite, this is another awesome extension that you need to install into PyCharm. This specific extension is a AI-powered coding assistant, this essentially autocompletes portions of your code! If you want to check this extension out, here is the link below:
Highlight Bracket Pair

Next up we have Highlight Bracket Pair, this is a must have for any programming project. This specific extension allows us to easily find pairs of brackets from your code, rather than having to manually look through and find your ending or beginning bracket. If you want to check this extension here, here is the link below:
There you have it! Those are some of the best PyCharm extensions you can use as a data scientist, do you plan on using these extensions? I would love to hear your thoughts about this!
As Always
if you have any suggestions, thoughts, or just want to connect, feel free to contact/follow me on Twitter! Also, below is a link to some of my favorite resources for learning programming, Python, R, Data Science, etc
Thanks so much for reading!