intro-to-data-science | An intro to data science for absolute beginners

by webartifex Jupyter Notebook Version: Current License: MIT

X-Ray Key Features Code Snippets Community Discussions Vulnerabilities Install Support

kandi X-RAY | intro-to-data-science Summary

intro-to-data-science is a Jupyter Notebook library. intro-to-data-science has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

This project is an introductory workshop in Data Science in the programming language Python . To learn about Python and programming in detail, this introductory course is recommended.

Support

Quality

Security

License

Reuse

Support

intro-to-data-science has a low active ecosystem.

It has 0 star(s) with 0 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

intro-to-data-science has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of intro-to-data-science is current.

Quality

intro-to-data-science has no bugs reported.

Security

intro-to-data-science has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

intro-to-data-science is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

intro-to-data-science releases are not available. You will need to build from source code and install.

Installation instructions are available. Examples and code snippets are not available.

Top functions reviewed by kandi - BETA

kandi's functional review helps you automatically verify the functionalities of the libraries and avoid rework.
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of intro-to-data-science

Get all kandi verified functions for this library.

intro-to-data-science Key Features

No Key Features are available at this moment for intro-to-data-science.

intro-to-data-science Examples and Code Snippets

No Code Snippets are available at this moment for intro-to-data-science.

Community Discussions

No Community Discussions are available at this moment for intro-to-data-science.Refer to stack overflow page for discussions.

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install intro-to-data-science

To follow this workshop, an installation of Python 3.8 or higher is expected. A popular and beginner friendly way is to install the Anaconda Distribution that not only ships Python itself but also comes pre-packaged with a lot of third-party libraries including Python's scientific stack. Detailed instructions can be found here .

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

Find more information at: