Comments on: Python libraries and packages for Data Scientists (the 5 most important ones) https://data36.com/python-libraries-packages-data-scientists/ Learn Data Science the Hard Way! Wed, 20 Aug 2025 06:25:43 +0000 hourly 1 https://wordpress.org/?v=6.7.4 By: What Machine Learning Algorithms Should You Learn First? (+examples) https://data36.com/python-libraries-packages-data-scientists/#comment-190871 Tue, 13 Oct 2020 21:45:14 +0000 https://data36.com/?p=2231#comment-190871 […] fact, the easiest part of it is the coding part. There are tons of awesome libraries in Python (like numpy, pandas, scipy, scikit-learn, tensorflow and more…) that make the job of a data […]

]]> By: Pandas tutorial 5: Scatter plot with pandas and matplotlib https://data36.com/python-libraries-packages-data-scientists/#comment-157540 Thu, 11 Jun 2020 20:03:32 +0000 https://data36.com/?p=2231#comment-157540 […] Python libraries and packages for Data Scientists […]

]]> By: How to Plot a Histogram in Python Using Pandas (Tutorial) https://data36.com/python-libraries-packages-data-scientists/#comment-152822 Mon, 25 May 2020 21:27:00 +0000 https://data36.com/?p=2231#comment-152822 […] Python libraries and packages for Data Scientists […]

]]> By: My Computer Setup for Data Science (Apps, Programs, Software) https://data36.com/python-libraries-packages-data-scientists/#comment-137893 Tue, 07 Apr 2020 21:06:22 +0000 https://data36.com/?p=2231#comment-137893 […] it also gives you access to ~320 data science packages – including the popular ones like numpy, pandas, sklearn and […]

]]> By: Linear Regression in Python using sklearn and numpy (with code base) https://data36.com/python-libraries-packages-data-scientists/#comment-126183 Thu, 20 Feb 2020 14:36:04 +0000 https://data36.com/?p=2231#comment-126183 […] Python libraries and packages for Data Scientists […]

]]> By: Python Import Statement --- plus: Built-in Modules for Data Scientists https://data36.com/python-libraries-packages-data-scientists/#comment-81615 Thu, 11 Jul 2019 14:31:09 +0000 https://data36.com/?p=2231#comment-81615 […] import is an essential and powerful concept within Python. The more you learn about data science, the better you will understand that you will have to continuously expand your toolset for the different challenges you will face. import is the ultimate tool for that. It opens up thousands of new doors. In my upcoming articles I’ll introduce the most important Python libraries and packages you have to know as a data scientist! […]

]]> By: Pandas Tutorial 3: Important Data Formatting Methods (merge, sort, reset_index, fillna) https://data36.com/python-libraries-packages-data-scientists/#comment-65889 Mon, 11 Mar 2019 13:59:05 +0000 https://data36.com/?p=2231#comment-65889 […] Top 5 Python Libraries and Packages for Data Scientists […]

]]> By: Pandas Tutorial 1: Pandas Basics (read_csv, DataFrame, Data Selection) https://data36.com/python-libraries-packages-data-scientists/#comment-53955 Wed, 16 Jan 2019 18:08:15 +0000 https://data36.com/?p=2231#comment-53955 […] Top 5 Python Libraries and Packages for Data Scientists […]

]]> By: Tomi Mester https://data36.com/python-libraries-packages-data-scientists/#comment-53161 Mon, 07 Jan 2019 16:17:51 +0000 https://data36.com/?p=2231#comment-53161 In reply to Nick.

hey Nick,

it’s up to you.
I personally prefer the way I described it in my article — but the Miniconda-solution can work, too.

If you want to follow my articles, I recommend to follow my guide though as there might be small (but important) differences further down the road. : )

Cheers

]]> By: Nick https://data36.com/python-libraries-packages-data-scientists/#comment-47574 Thu, 15 Nov 2018 23:57:38 +0000 https://data36.com/?p=2231#comment-47574 Thanks Tomi! I set up a Digital Ocean droplet following your tutorial but I am wondering whether to install Miniconda on my Ubuntu droplet (not sure how to do this). Do you recommend installing Miniconda or just installing my Data Science libraries the way you have in this tutorial?

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