RSpec style guide
RSpec Best Practices (by betterspecs)
PythonDataScienceHandbook
Python Data Science Handbook: full text in Jupyter Notebooks (by jakevdp)
| RSpec style guide | PythonDataScienceHandbook | |
|---|---|---|
| 5 | 99 | |
| 3,449 | 41,809 | |
| 0.1% | - | |
| 1.0 | 0.6 | |
| about 1 year ago | about 2 months ago | |
| HTML | Jupyter Notebook | |
| - | 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.
RSpec style guide
Posts with mentions or reviews of RSpec style guide.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-03-03.
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The RSpec Book worth reading in 2022?
betterspecs.org is a good resource.
- Learning RSpec
- Best course to learn for 2022?
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Understanding Rspec Best Practices
Both sites advocate for factories over fixtures (though there is a not clear consensus). With fixtures, test objects are all defined in fixture files with predefined data. Fixtures can be used across tests but modifying an existing fixture can break tests that depend on that fixture. As a codebase grows managing fixtures for all the various states of your object can be difficult. In comparison, factories let you build and configure new objects per test.
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Free 500+ books and learning resources for every programmer.
Better Specs (RSpec Guidelines with Ruby)
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.
- Python Data Science Handbook
-
About Data analyst, data scientist and data engineer, resources and experiences
Python Data Science Handbook
-
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?
What are some alternatives?
When comparing RSpec style guide and PythonDataScienceHandbook you can also consider the following projects:
Rails style guide - A community-driven Ruby on Rails style guide
django-livereload-server - Livereload functionality integrated with your Django development environment.
Ruby style guide - A community-driven Ruby coding style guide
Exercism - Scala Exercises - Crowd-sourced code mentorship. Practice having thoughtful conversations about code.
Fundamental Ruby - :books: Fundamental programming with ruby examples and references. It covers threads, SOLID principles, design patterns, data structures, algorithms. Books for reading. Repo for website https://github.com/khusnetdinov/betterdocs
Serpent.AI - Game Agent Framework. Helping you create AIs / Bots that learn to play any game you own!
Best-Ruby - Ruby Tricks, Idiomatic Ruby, Refactoring and Best Practices
lego-mindstorms - My LEGO MINDSTORMS projects (using set 51515 electronics)
fast-ruby - :dash: Writing Fast Ruby :heart_eyes: -- Collect Common Ruby idioms.
OSQuery - SQL powered operating system instrumentation, monitoring, and analytics.
contracts.ruby - Contracts for Ruby.
devdocs - API Documentation Browser
RSpec style guide vs Rails style guide
PythonDataScienceHandbook vs django-livereload-server
RSpec style guide vs Ruby style guide
PythonDataScienceHandbook vs Exercism - Scala Exercises
RSpec style guide vs Fundamental Ruby
PythonDataScienceHandbook vs Serpent.AI
RSpec style guide vs Best-Ruby
PythonDataScienceHandbook vs lego-mindstorms
RSpec style guide vs fast-ruby
PythonDataScienceHandbook vs OSQuery
RSpec style guide vs contracts.ruby
PythonDataScienceHandbook vs devdocs