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

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

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cheat-sheet-pdf Data-science-best-resources
3 2
1,322 2,755
- -
4.1 0.0
9 months 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.

cheat-sheet-pdf

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.

Data-science-best-resources

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.

What are some alternatives?

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

Python Cheatsheet - All-inclusive Python cheatsheet

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

Config-Collections-for-Nginx - A Collection of Functioning Nginx Configurations [Moved to: https://github.com/Organizr/Config-Collections-for-Nginx]

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

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

free-data-science-books - Free resources for learning data science

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

IntRo - Introduction to R for health data

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.

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

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...

data-science-blogs - A curated list of data science blogs