clojure-style-guide
PythonDataScienceHandbook
clojure-style-guide | PythonDataScienceHandbook | |
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15 | 98 | |
3,978 | 41,540 | |
- | - | |
2.9 | 0.6 | |
2 months ago | 13 days ago | |
Jupyter Notebook | ||
- | MIT License |
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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.
clojure-style-guide
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XML is better than YAML
Fixed link to that style guide entry: https://guide.clojure.style/#opt-commas-in-map-literals
Per that style guide, the above map would be formatted like this (on HN, just indent by two spaces):
{:a 1
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How to be more idiomatic?
As for the broader question of Clojure style, there are style guides like https://github.com/bbatsov/clojure-style-guide and tools like clj-kondo to help learn and reinforce important practices.
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What makes Clojure better than X for you?
Basically, you learn the expected places to put whitespace, make sure to edit your code accordingly and all of the parens will be automatically closed and adjusted. Using parinfer—which you can also combine with the more traditional paredit—makes writing Clojure code a lot like writing Python.
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Poignant perspective I found about Clojure's community in r/ExperiencedDevs
Also, there are guidelines, the styleguide, clj-kondo, kibit etc. And if you don't review your interns/juniors code to teach them good practices - you're doing it wrong (well, this one is true for any practical PL out there).
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How to learn Clojure idioms?
Another good resource is https://guide.clojure.style/ -- the (unofficial) community style guide for Clojure.
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4-space indents?
It's not an answer to your question but i can refer you to https://github.com/bbatsov/clojure-style-guide
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Clojure Coding Guide
The same could be said about the "Clojure Style Guide" from the Cider guy. As a matter of fact, there was an issue about it that was quickly declined https://github.com/bbatsov/clojure-style-guide/issues/232
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Wrote one of my first clojure programs (tic-tac-toe). Any constructive criticism would be greatly appreciated.
Formatting is not that great, see https://github.com/bbatsov/clojure-style-guide btw
- Want to get into closure, but struck at practice
- [clojure-noob][code-review]I've written my first piece of code in clojure, can you guys review it ?
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?
prettier - Prettier is an opinionated code formatter.
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.
CppCoreGuidelines - The C++ Core Guidelines are a set of tried-and-true guidelines, rules, and best practices about coding in C++
Serpent.AI - Game Agent Framework. Helping you create AIs / Bots that learn to play any game you own!
30-days-of-elixir - A walk through the Elixir language in 30 exercises.
lego-mindstorms - My LEGO MINDSTORMS projects (using set 51515 electronics)
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.
OSQuery - SQL powered operating system instrumentation, monitoring, and analytics.
papers-we-love - Papers from the computer science community to read and discuss.
devdocs - API Documentation Browser