Data-science-best-resources VS cheat-sheet-pdf

Compare Data-science-best-resources vs cheat-sheet-pdf and see what are their differences.

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Data-science-best-resources cheat-sheet-pdf
2 3
1,874 710
- -
0.0 3.8
8 days ago 3 months ago
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.


Posts with mentions or reviews of Data-science-best-resources. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-08-13.


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

What are some alternatives?

When comparing Data-science-best-resources and cheat-sheet-pdf you can also consider the following projects:

manjaro-linux - Shell scripts for setting up Manjaro Linux for Python programming and deep learning

Python Cheatsheet - Basic Cheat Sheet for Python (PDF, Markdown and Jupyter Notebook)

Config-Collections-for-Nginx - A Collection of Functioning Nginx Configurations [Moved to:]

awesome-cheatsheets - 👩‍💻👨‍💻 Awesome cheatsheets for popular programming languages, frameworks and development tools. They include everything you should know in one single file.

nagios-plugins - 450+ AWS, Hadoop, Cloud, Kafka, Docker, Elasticsearch, RabbitMQ, Redis, HBase, Solr, Cassandra, ZooKeeper, HDFS, Yarn, Hive, Presto, Drill, Impala, Consul, Spark, Jenkins, Travis CI, Git, MySQL, Linux, DNS, Whois, SSL Certs, Yum Security Updates, Kubernetes, Cloudera etc...

dev-setup - macOS development environment setup: Easy-to-understand instructions with automated setup scripts for developer tools like Vim, Sublime Text, Bash, iTerm, Python data analysis, Spark, Hadoop MapReduce, AWS, Heroku, JavaScript web development, Android development, common data stores, and dev-based OS X defaults.

devops-resources - DevOps resources - Linux, Jenkins, AWS, SRE, Prometheus, Docker, Python, Ansible, Git, Kubernetes, Terraform, OpenStack, SQL, NoSQL, Azure, GCP

cheatsheets - My Cheatsheet Repository

Config-Collections-for-Nginx - A Collection of Functioning Nginx Configurations

100-Days-Of-ML-Code - 100 Days of ML Coding

looper - A resource list for causality in statistics, data science and physics

Blazor-MachineIntelligence - Centralized repository of my Blazor apps with Machine Intelligence (Statistics, Analytics, Machine Learning, AI, Information Retrieval etc.). This repository will coalesce all of my Machine Intelligence repos in a single area and point to their respective: live demo, source code, video & presentation locations.