elasticsearch-definitive-guide
PythonDataScienceHandbook
| elasticsearch-definitive-guide | PythonDataScienceHandbook | |
|---|---|---|
| 2 | 98 | |
| 3,432 | 41,540 | |
| - | - | |
| 2.9 | 0.6 | |
| over 2 years ago | 14 days ago | |
| HTML | Jupyter Notebook | |
| GNU General Public License v3.0 or later | MIT License |
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elasticsearch-definitive-guide
- Is it worth buying "Elasticsearch - The Definitive Guide" in 2021?
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Free 500+ books and learning resources for every programmer.
Elasticsearch: The Definitive Guide (fork it on GH)
PythonDataScienceHandbook
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About Data analyst, data scientist and data engineer, resources and experiences
Python Data Science Handbook
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Where to learn data science with python??
Python Data Science Handbook — learn to use Python libraries such as NumPy, Pandas, Matplotlib, Scikit-Learn, and related tools to effectively store, manipulate, and gain insight from data
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Book Recommendations
I don't know what tools you will be using but if you will be using Python you can start with Python Data Science Handbook by Jake VanderPlas and Data Science & Big Data Analytics: Discovering, Analyzing, Visualizing and Presenting DataData Science & Big Data Analytics: Discovering, Analyzing, Visualizing and Presenting Data which gives a very good outlook on the data science and big data frame work. PS: Jake's book is also available as jupyter notebooks so you can read and run the code at the same time.
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Other programing options?
Python Data Science Handbook by Jake VanderPlas (https://jakevdp.github.io/PythonDataScienceHandbook/)
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Pathways out of GIS?
Otherwise you can work through courses on Datacamp, Coursera, Udemy, etc, or check out this book for a more general non-spatial perspective.
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Mastering Data Science: Top 10 GitHub Repos You Need to Know
7. Data Science Handbook Are you looking for a comprehensive guide to data science with Python? Look no further than the Data Science Handbook by Jake VanderPlas. This repository contains the entire book, which introduces essential tools and techniques used in data science, including IPython, NumPy, Pandas, Matplotlib, and Scikit-Learn. It’s a fantastic resource for anyone looking to deepen their understanding of data science concepts and best practices.
- Help a lady out (career advice(
- Resources for Current DE Interested in Learning Data Science
- Good book or course to learn Python for someone who is fluent in R?
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Python equivalent to R's ecosystem of open source educational materials
I can recommend https://jakevdp.github.io/PythonDataScienceHandbook/
What are some alternatives?
You-Dont-Know-JS - A book series on JavaScript. @YDKJS on twitter.
django-livereload-server - Livereload functionality integrated with your Django development environment.
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.
Serpent.AI - Game Agent Framework. Helping you create AIs / Bots that learn to play any game you own!
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.
lego-mindstorms - My LEGO MINDSTORMS projects (using set 51515 electronics)
milewski-ctfp-pdf - Bartosz Milewski's 'Category Theory for Programmers' unofficial PDF and LaTeX source
OSQuery - SQL powered operating system instrumentation, monitoring, and analytics.
RSpec style guide - RSpec Best Practices
devdocs - API Documentation Browser