elasticsearch-definitive-guide
Scala school
elasticsearch-definitive-guide | Scala school | |
---|---|---|
2 | 4 | |
3,432 | 3,698 | |
- | 0.0% | |
2.9 | 0.0 | |
over 2 years ago | about 1 year ago | |
HTML | HTML | |
GNU General Public License v3.0 or later | Apache License 2.0 |
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.
elasticsearch-definitive-guide
- Is it worth buying "Elasticsearch - The Definitive Guide" in 2021?
-
Free 500+ books and learning resources for every programmer.
Elasticsearch: The Definitive Guide (fork it on GH)
Scala school
- Scala School
- New career
-
What should I avoid coming from Java to Scala?
The great thing about Scala it’s built to support both functional and OOP depending on your needs. As for some great Scala basics for beginners, I found the Twitter scala school very helpful https://twitter.github.io/scala_school/
-
Free 500+ books and learning resources for every programmer.
Scala School by Twitter
What are some alternatives?
You-Dont-Know-JS - A book series on JavaScript. @YDKJS on twitter.
Demos and Examples in Scala (Chinese) - scala、spark使用过程中,各种测试用例以及相关资料整理
Crafting Interpreters - Repository for the book "Crafting Interpreters"
Exercism - Scala Exercises - Crowd-sourced code mentorship. Practice having thoughtful conversations about code.
lisp-koans - Common Lisp Koans is a language learning exercise in the same vein as the ruby koans, python koans and others. It is a port of the prior koans with some modifications to highlight lisp-specific features. Structured as ordered groups of broken unit tests, the project guides the learner progressively through many Common Lisp language features.
Scala Exercises - The easy way to learn Scala.
Kalman-and-Bayesian-Filters-in-Python - Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
Learn-by-doing functional programming course on Scala - learn-by-doing course/tutorial for functional programming on scala
milewski-ctfp-pdf - Bartosz Milewski's 'Category Theory for Programmers' unofficial PDF and LaTeX source
The Type Astronaut's Guide to Shapeless - Example code to accompany shapeless-guide.
RSpec style guide - RSpec Best Practices
CA Art - Learn Cellular Automata through generative art