JRuby
Pandas
JRuby | Pandas | |
---|---|---|
24 | 395 | |
3,746 | 41,983 | |
0.0% | 0.6% | |
9.9 | 10.0 | |
about 6 hours ago | 3 days ago | |
Ruby | Python | |
GNU General Public License v3.0 or later | BSD 3-clause "New" or "Revised" License |
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.
JRuby
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Shoes makes building little graphical programs for Mac, Windows, Linux simple
As someone who has looked at Shoes several times but never dove in, it's confusing how Shoes 4 has been the "preview version" of Shoes for, like, a decade or more. It made me actively avoid getting invested in Shoes 3 (the release promoted on the linked website) because Shoes 4 requires JRuby and I am happy with CRuby (the Ruby interpreter most people think of when they hear "Ruby").
https://github.com/shoes/shoes4/
http://www.rubydoc.info/github/shoes/shoes4
No disrespect to the developers but to me it feels like taking over a GUI toolkit created "to teach programming to everyone" (to quote the Shoes 4 readme) and making it depend upon a super-complicated enterprise-focused Ruby was sort of Missing The Point™ in a huge way.
Heck I couldn't even switch to JRuby if I wanted to because I <3 Ractors and JRuby still lacks CRuby 3.0 feature parity: https://github.com/jruby/jruby/issues/7459
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JRuby 9.4.2.0 released with many fixes and improvements
__callee__ now properly returns the name under which a method was called, which will be the new name in the case of aliased methods. #2305, #7702
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JRuby 9.4.0.0 Released, now supporting Ruby 3.1 and Rails 7
Issue tracker: https://github.com/jruby/jruby/issues
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JRuby 9.3.9.0 Released with stdlib CVE fixes
rdoc has been updated to 6.3.3 to fix all known CVEs. (#7396, #7404)
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JRuby 9.3.8.0 Released - with support for lightweight fibers!
Altering the visibility of an included module method no longer changes what super method gets called. (#7240, #7343, #7344, #7356)
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Golang in the JVM
It looks like the readme is copy pasta from jruby: https://github.com/jruby/jruby
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JRuby 9.3.4.0 released
Homepage: https://www.jruby.org/
- JRuby 9.4 will support Ruby 3.0 and we need your help!
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Communication Counts – Leading a New Generation of Developers with Chris Mar
Chris: Yeah, that's exactly right. So I was working at Sun at the time. I remember the JRuby guys. I saw them speak at one of the Java conferences, and they came to work for Sun. Just listening to them talk about JRuby...and then a lot of it was obviously about Ruby on Rails at the time. And I was like, wow, this was just mind-blowing the way they talked about it.
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Befunge GUI by Glimmer (2 for 1: LibUI & SWT)
In fact, I built its GUI twice with two different approaches, one using the up and coming Glimmer DSL for LibUI on CRuby relying on a multi-canvas-grid (LibUI area) approach, and one using the very mature Glimmer DSL for SWT on JRuby by relying on a button-grid approach.
Pandas
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AWS Serverless Diversity: Multi-Language Strategies for Optimal Solutions
Python is a natural fit for serverless development. It boasts a vast array of libraries, including Powertools for AWS and robust libraries for data engineers. Its versatility and excellent developer experience make it a top choice for serverless projects, offering a seamless and enjoyable development experience.
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Pandas reset_index(): How To Reset Indexes in Pandas
In data analysis, managing the structure and layout of data before analyzing them is crucial. Python offers versatile tools to manipulate data, including the often-used Pandas reset_index() method.
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Deploying a Serverless Dash App with AWS SAM and Lambda
Dash is a Python framework that enables you to build interactive frontend applications without writing a single line of Javascript. Internally and in projects we like to use it in order to build a quick proof of concept for data driven applications because of the nice integration with Plotly and pandas. For this post, I'm going to assume that you're already familiar with Dash and won't explain that part in detail. Instead, we'll focus on what's necessary to make it run serverless.
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Help Us Build Our Roadmap – Pydantic
there is pull request to integrate in both pydantic extra types and into pandas cose [1]
[1]: https://github.com/pandas-dev/pandas/issues/53999
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Stuff I Learned during Hanukkah of Data 2023
Last year I worked through the challenges using VisiData, Datasette, and Pandas. I walked through my thought process and solutions in a series of posts.
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Introducing Flama for Robust Machine Learning APIs
pandas: A library for data analysis in Python
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Exploring Open-Source Alternatives to Landing AI for Robust MLOps
Data analysis involves scrutinizing datasets for class imbalances or protected features and understanding their correlations and representations. A classical tool like pandas would be my obvious choice for most of the analysis, and I would use OpenCV or Scikit-Image for image-related tasks.
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Mastering Pandas read_csv() with Examples - A Tutorial by Codes With Pankaj
Pandas, a powerful data manipulation library in Python, has become an essential tool for data scientists and analysts. One of its key functions is read_csv(), which allows users to read data from CSV (Comma-Separated Values) files into a Pandas DataFrame. In this tutorial, brought to you by CodesWithPankaj.com, we will explore the intricacies of read_csv() with clear examples to help you harness its full potential.
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What Would Go in Your Dream Documentation Solution?
So, what I'd like to do is write a documentation package in Python to recreate what I've lost. I plan to build upon the fantastic python-docx and docxtpl packages, and I'll probably rely on pandas from much of the tabular stuff. Here are the features I intend to include:
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How do people know when to use what programming language?
Weirdly most of my time spent with data analysis was in the C layers in pandas.
What are some alternatives?
truffleruby - A high performance implementation of the Ruby programming language, built on GraalVM.
Cubes - [NOT MAINTAINED] Light-weight Python OLAP framework for multi-dimensional data analysis
MRuby - Lightweight Ruby
tensorflow - An Open Source Machine Learning Framework for Everyone
Rubinius - The Rubinius Language Platform
orange - 🍊 :bar_chart: :bulb: Orange: Interactive data analysis
Opal - Ruby ♥︎ JavaScript
Airflow - Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
Reactrb
Keras - Deep Learning for humans
docker-jruby
Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration