Learn Git Branching
GitHub
GitHub Desktop
Git
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Try Git: Code School
The Git Book is the official tutorial about Git.

Scikit-learn
Pandas
Dataiku
NumPy
OpenCV
Exploratory
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RapidMiner is a software platform for data science teams that unites data prep, machine learning, and predictive model deployment.

Which is more popular?
Based on our record, Pro Git seems to be a lot more popular than RapidMiner. While we know about 302 links to Pro Git, we've tracked only 3 mentions of RapidMiner.
Website, pricing, platforms and company facts side by side.
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| Website | git-scm.com | rapidminer.com |
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What each product offers, as listed by its team.

Possible disadvantages
Possible disadvantages
An editorial look at what each product does well and who it suits.

Overall verdict
Why this product is good
Recommended for
Overall verdict
Why this product is good
Recommended for
RapidMiner is recommended for business analysts, academia, and organizations looking for a scalable and collaborative platform to execute data science workflows. It is particularly suitable for users who prefer a graphical user interface over coding and those seeking to streamline their data analysis processes across various departments within a company.
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RapidMiner Review - Predictive analytics software review
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How often each product is chosen within a category, 0–100% relative to the other.

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External articles and on-site reviews we used to compare the two products.

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Description: RapidMiner offers a data science platform that enables people of all skill levels across the enterprise to build and operate AI solutions. The product covers the full lifecycle of the AI production...
Recommendations tracked on public social media and blogs since March 2021.

A lot of what finally made Git click for me came from talks and videos. Scott Chacon's talks on Git internals, and chapter 10 of the free Pro Git book, which he co-wrote, walk through how objects, trees and refs are stored. Great... - Source: dev.to / 10 days ago
An open-source book on Git by Scott Chacon and Ben Straub, also used as Git’s official documentation. It’s available free online. https://git-scm.com/book/en/v2 ↩. - Source: dev.to / 27 days ago
Have you ever read any of the introductory material that the git project itself maintains for teaching how to use the tool? - https://git-scm.com/docs/gittutorial - https://git-scm.com/docs/giteveryday -... - Source: Hacker News / 4 months ago
RapidMiner: A data science platform that offers an automated EDA process, including data preprocessing, visualization, and analysis. Source: over 3 years ago
I hope this blog empowers you to start digging deeper into Apache Arrow and helps you to understand why we decided to invest in the future of Apache Arrow and its child products. I also hope it gives you the foundations to start... - Source: dev.to / almost 4 years ago
Rapidminer - RapidMiner is a data science software platform developed by the company of the same name that provides an integrated environment for data preparation, machine learning, deep learning, text mining, and predictive... - Source: dev.to / about 5 years ago
When comparing Pro Git and RapidMiner, you can also consider the following products.

"Learn Git Branching" is the most visual and interactive way to learn Git on the web; you'll be challenged with exciting levels, given step-by-step demonstrations of powerful features, and maybe even have a bit of fun along the way.
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scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
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Originally founded as a project to simplify sharing code, GitHub has grown into an application used by over a million people to store over two million code repositories, making GitHub the largest code host in the world.
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Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
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GitHub Desktop is a seamless way to contribute to projects on GitHub and GitHub Enterprise.
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Dataiku is the developer of DSS, the integrated development platform for data professionals to turn raw data into predictions.
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