aleph
Pandas
aleph | Pandas | |
---|---|---|
2 | 395 | |
2,518 | 41,983 | |
0.2% | 0.6% | |
9.1 | 10.0 | |
14 days ago | 4 days ago | |
Clojure | Python | |
MIT License | 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.
aleph
-
A History of Clojure (2020) [pdf]
* HTTP: Ring is the de facto way to manage HTTP request (see https://github.com/ring-clojure/ring/wiki/Concepts). Jetty and Aleph are common web servers (and https://github.com/clj-commons/aleph) that implement Ring interface.
-
Open source projects that are good to read to learn best practices?
For Clojure: https://github.com/clj-commons/aleph
Pandas
-
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.
-
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.
-
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.
-
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
-
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.
-
Introducing Flama for Robust Machine Learning APIs
pandas: A library for data analysis in Python
-
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.
-
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.
-
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:
-
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?
sente - Realtime web comms library for Clojure/Script
Cubes - [NOT MAINTAINED] Light-weight Python OLAP framework for multi-dimensional data analysis
ring - Clojure HTTP server abstraction
tensorflow - An Open Source Machine Learning Framework for Everyone
LaravelS - LaravelS is an out-of-the-box adapter between Laravel/Lumen and Swoole.
orange - 🍊 :bar_chart: :bulb: Orange: Interactive data analysis
martian - The HTTP abstraction library for Clojure/script, supporting OpenAPI, Swagger, Schema, re-frame and more
Airflow - Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
ring-jetty9-adapter - An enhanced version of jetty adapter for ring, with additional features like websockets, http/2 and http/3
Keras - Deep Learning for humans
MicroWebSrv2 - The last Micro Web Server for IoTs (MicroPython) or large servers (CPython), that supports WebSockets, routes, template engine and with really optimized architecture (mem allocations, async I/Os). Ready for ESP32, STM32 on Pyboard, Pycom's chipsets (WiPy, LoPy, ...). Robust, efficient and documented!
Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration