programming.dev

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Welcome Programmers!

programming.dev is a collection of programming communities and other topics relevant to software engineers, hackers, roboticists, hardware and software enthusiasts, and more.

The site is primarily english with some communities in other languages. We are connected to many other sites using the activitypub protocol that you can view posts from in the "all" tab while the "local" tab shows posts on our site.


🔗 Site with links to all relevant programming.dev sites

🟩 Not a fan of the default UI? We have alternate frontends we host that you can view the same content from

ℹ️ We have a wiki site that communities can host documents on


⚖️ All users are expected to follow our Code of Conduct and the other various documents on our legal site

❤️ The site is run by a team of volunteers. If youre interested in donating to help fund things such as server costs you can do so here

💬 We have a microblog site aimed towards programmers available at https://bytes.programming.dev

🛠️ We have a forgejo instance for hosting git repositories relating to our site and the fediverse. If you have a project that relates and follows our Code of Conduct feel free to host it there and if you have ideas for things to improve our sites feel free to create issues in the relevant repositories. To go along with the instance we also have a site for sharing small code snippets that might be too small for their own repository.

🌲 We have a discord server and a matrix space for chatting with other members of the community. These are bridged to each other (so you can interact with people using matrix from discord and vice versa.

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founded 1 year ago
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Python Rgonomics | Emily Riederer (emilyriederer.netlify.app)
submitted 9 months ago* (last edited 9 months ago) by ericjmorey to c/python
 
 

cross-posted from: https://programming.dev/post/8257343

Emily Riederer Writes:

Switching languages is about switching mindsets - not just syntax. New developments in python data science toolings, like polars and seaborn’s object interface, can capture the ‘feel’ that converts from R/tidyverse love while opening the door to truly pythonic workflows

Just to be clear:

  • This is not a post about why python is better than R so R users should switch all their work to python
  • This is not a post about why R is better than python so R semantics and conventions should be forced into python
  • This is not a post about why python users are better than R users so R users need coddling
  • This is not a post about why R users are better than python users and have superior tastes for their toolkit
  • This is not a post about why these python tools are the only good tools and others are bad tools

The Stack

WIth that preamble out of the way, below are a few recommendations for the most ergonomic tools for getting set up, conducting core data analysis, and communication results.

To preview these recommendations:

Set Up

Analysis

Communication

Miscellaneous

  • Environment Management: pdm
  • Code Quality: ruff

Read Python Rgonomics

2
4
Python Rgonomics | Emily Riederer (emilyriederer.netlify.app)
submitted 9 months ago* (last edited 9 months ago) by ericjmorey to c/r_programming
 
 

cross-posted from: https://programming.dev/post/8257343

Emily Riederer Writes:

Switching languages is about switching mindsets - not just syntax. New developments in python data science toolings, like polars and seaborn’s object interface, can capture the ‘feel’ that converts from R/tidyverse love while opening the door to truly pythonic workflows

Just to be clear:

  • This is not a post about why python is better than R so R users should switch all their work to python
  • This is not a post about why R is better than python so R semantics and conventions should be forced into python
  • This is not a post about why python users are better than R users so R users need coddling
  • This is not a post about why R users are better than python users and have superior tastes for their toolkit
  • This is not a post about why these python tools are the only good tools and others are bad tools

The Stack

WIth that preamble out of the way, below are a few recommendations for the most ergonomic tools for getting set up, conducting core data analysis, and communication results.

To preview these recommendations:

Set Up

Analysis

Communication

Miscellaneous

  • Environment Management: pdm
  • Code Quality: ruff

Read Python Rgonomics

3
6
Python Rgonomics | Emily Riederer (emilyriederer.netlify.app)
submitted 9 months ago* (last edited 9 months ago) by ericjmorey to c/machine_learning
 
 

Emily Riederer Writes:

Switching languages is about switching mindsets - not just syntax. New developments in python data science toolings, like polars and seaborn’s object interface, can capture the ‘feel’ that converts from R/tidyverse love while opening the door to truly pythonic workflows

Just to be clear:

  • This is not a post about why python is better than R so R users should switch all their work to python
  • This is not a post about why R is better than python so R semantics and conventions should be forced into python
  • This is not a post about why python users are better than R users so R users need coddling
  • This is not a post about why R users are better than python users and have superior tastes for their toolkit
  • This is not a post about why these python tools are the only good tools and others are bad tools

The Stack

WIth that preamble out of the way, below are a few recommendations for the most ergonomic tools for getting set up, conducting core data analysis, and communication results.

To preview these recommendations:

Set Up

Installation: pyenv
IDE: VS Code

Analysis

Wrangling: polars
Visualization: seaborn

Communication

Tables: Great Tables
Notebooks: Quarto

Miscellaneous

Environment Management: pdm
Code Quality: ruff

Read Python Rgonomics

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