scholar_search VS Data-Science-For-Beginners

Compare scholar_search vs Data-Science-For-Beginners and see what are their differences.

scholar_search

This project provides a tool for extracting and analyzing the quantity and distribution of scholarly articles related to a particular topic or field over a desired time span, using Google Scholar search results and built-in data visualization functionality. (by iamgmujtaba)
academia Academic academic-papers Data Analysis Data Visualization Google google-scholar scholarly-articles
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Data-Science-For-Beginners

10 Weeks, 20 Lessons, Data Science for All! (by microsoft)
Data Science Python Data Visualization Data Analysis Pandas
Source Code
microsoft.github.io
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SaaSHub helps you find the best software and product alternatives
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scholar_search Data-Science-For-Beginners
1 15
6 26,583
- 2.1%
5.0 6.1
11 months ago about 2 months ago
Jupyter Notebook Jupyter Notebook
MIT License MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

scholar_search

Posts with mentions or reviews of scholar_search. We have used some of these posts to build our list of alternatives and similar projects.

Data-Science-For-Beginners

Posts with mentions or reviews of Data-Science-For-Beginners. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-08-20.

What are some alternatives?

When comparing scholar_search and Data-Science-For-Beginners you can also consider the following projects:

Linear-Algebra-With-Python - Lecture Notes for Linear Algebra Featuring Python. This series of lecture notes will walk you through all the must-know concepts that set the foundation of data science or advanced quantitative skillsets. Suitable for statistician/econometrician, quantitative analysts, data scientists and etc. to quickly refresh the linear algebra with the assistance of Python computation and visualization.

ML-For-Beginners - 12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

taichi - Productive, portable, and performant GPU programming in Python.

semi-design - 🚀A modern, comprehensive, flexible design system and React UI library. 🎨 Provide more than 2800+ Design Tokens, easy to build your design system. Make Semi Design to Any Design. 🧑🏻‍💻 Design to Code in one click

appsmith.

copilot.vim - Neovim plugin for GitHub Copilot

feedback - Public feedback discussions for: GitHub for Mobile, GitHub Discussions, GitHub Codespaces, GitHub Sponsors, GitHub Issues and more! [Moved to: https://github.com/github-community/community]

uptime-kuma.

copilot-docs - Documentation for GitHub Copilot

open-im-server - IM Chat

uptime-kuma - A fancy self-hosted monitoring tool

feedback - Public feedback discussions for npm

scholar_search vs Linear-Algebra-With-Python Data-Science-For-Beginners vs ML-For-Beginners Data-Science-For-Beginners vs taichi Data-Science-For-Beginners vs semi-design Data-Science-For-Beginners vs appsmith. Data-Science-For-Beginners vs copilot.vim Data-Science-For-Beginners vs feedback Data-Science-For-Beginners vs uptime-kuma. Data-Science-For-Beginners vs copilot-docs Data-Science-For-Beginners vs open-im-server Data-Science-For-Beginners vs uptime-kuma Data-Science-For-Beginners vs feedback