boost-histogram
Python bindings for the C++14 Boost::Histogram library (by scikit-hep)
PythonDataScienceHandbook
Python Data Science Handbook: full text in Jupyter Notebooks (by jakevdp)
| boost-histogram | PythonDataScienceHandbook | |
|---|---|---|
| 1 | 99 | |
| 140 | 41,733 | |
| 1.4% | - | |
| 8.2 | 0.6 | |
| 4 days ago | about 1 month ago | |
| Jupyter Notebook | Jupyter Notebook | |
| BSD 3-clause "New" or "Revised" 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.
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.
boost-histogram
Posts with mentions or reviews of boost-histogram.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-09-21.
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Histogramming libraries for Python updated (boost-histogram / Hist)
Both projects are part of Scikit-HEP, but like many Scikit-HEP projects (Awkward, iminuit, cookie, etc.), are more generally applicable than just High Energy Physics (HEP). See https://github.com/scikit-hep/hist and https://github.com/scikit-hep/boost-histogram , drop us a star if this is useful for you!
PythonDataScienceHandbook
Posts with mentions or reviews of PythonDataScienceHandbook.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-03-26.
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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?
When comparing boost-histogram and PythonDataScienceHandbook you can also consider the following projects:
TensorFlow-Examples - TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
django-livereload-server - Livereload functionality integrated with your Django development environment.
Made-With-ML - Learn how to design, develop, deploy and iterate on production-grade ML applications.
Exercism - Scala Exercises - Crowd-sourced code mentorship. Practice having thoughtful conversations about code.
Serpent.AI - Game Agent Framework. Helping you create AIs / Bots that learn to play any game you own!
lego-mindstorms - My LEGO MINDSTORMS projects (using set 51515 electronics)
OSQuery - SQL powered operating system instrumentation, monitoring, and analytics.
devdocs - API Documentation Browser
react-bits - ✨ React patterns, techniques, tips and tricks ✨
scikit-learn - scikit-learn: machine learning in Python
Wagtail - A Django content management system focused on flexibility and user experience
ISLR-python - An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code
boost-histogram vs TensorFlow-Examples
PythonDataScienceHandbook vs django-livereload-server
boost-histogram vs Made-With-ML
PythonDataScienceHandbook vs Exercism - Scala Exercises
PythonDataScienceHandbook vs Serpent.AI
PythonDataScienceHandbook vs lego-mindstorms
PythonDataScienceHandbook vs OSQuery
PythonDataScienceHandbook vs devdocs
PythonDataScienceHandbook vs react-bits
PythonDataScienceHandbook vs scikit-learn
PythonDataScienceHandbook vs Wagtail
PythonDataScienceHandbook vs ISLR-python