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|BSD 3-clause "New" or "Revised" License||Apache License 2.0|
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.
How to query pandas DataFrames with SQL
5 projects | dev.to | 1 Feb 2023
Pandas is a go-to tool for tabular data management, processing, and analysis in Python, but sometimes you may want to go from pandas to SQL.
What are the best Python libraries to learn for beginners?
4 projects | reddit.com/r/Python | 31 Jan 2023
Replacing Pandas with Polars. A Practical Guide
4 projects | news.ycombinator.com | 22 Jan 2023
> The big thing pandas has going for it is that it's already been through this field testing. All the bugs have been ironed out by the hundreds of thousands of users.
At this very moment pandas github repo has 1563 open issues labeled with a bug tag . So much for "all the bugs have been ironed out".
Joining the Open Source Development Course
4 projects | dev.to | 20 Jan 2023
Python is the main programming language I use nowadays. In particular numpy and pandas are of course extremely useful. I also use biopython package - a collection of software tools for biological computation written in Python by an international group of researchers and developers.
Pandas VS Rath - a user suggested alternative
2 projects | 12 Jan 2023
Twitter Data Pipeline with Apache Airflow + MinIO (S3 compatible Object Storage)
5 projects | dev.to | 6 Jan 2023
Below is the python Task that transforms the tweets list into a Pandas dataframe, then dumps it in our MinIO Object Storage as a CSV file:
Hanukkah of Data 2022 - Puzzle 2
2 projects | dev.to | 30 Dec 2022
It was rewarding to dig into SQLite a bit while solving this puzzle, so I figured this would be a good opportunity to learn a bit more about pandas too! So how would I adapt this working SQL solution to pandas?
ETL using pandas
2 projects | reddit.com/r/dataengineering | 20 Dec 2022
Tor Network Statistics & Performance [OC]
2 projects | reddit.com/r/dataisbeautiful | 19 Dec 2022
All the data has been extracted from the official Tor Metrics website, and using Python with the Pandas library I've cleaned the data. Finally, the visualizations have been made with Tableau.
How to take inputs from an ascii file in Python
2 projects | reddit.com/r/learnpython | 16 Dec 2022
If you did that you could use a built-in library like csv to read and parse the file or you could use a 3rd party library like Pandas. Alternatively, you could store your file as json:
How worried are you about AI taking over music?
13 projects | reddit.com/r/WeAreTheMusicMakers | 3 Feb 2023
Tensorflow 238k contributors
Python's "Disappointing" Superpowers
2 projects | reddit.com/r/programming | 2 Feb 2023
C++ is actually used in machine learning. More than 60% of TensorFlow code is in C++: https://github.com/tensorflow/tensorflow. With high level configs and prototyping is done in python.
👙 Ready for Thot or Bot? 🤖
3 projects | reddit.com/r/StableDiffusion | 22 Jan 2023
10 Interesting GitHub Repos Worth Checking Out
9 projects | dev.to | 16 Dec 2022
Data-Oriented Programming in Python
2 projects | news.ycombinator.com | 27 Nov 2022
> In practice, scientific computing users rely on the NumPy family of libraries e.g. NumPy, SciPy, TensorFlow, PyTorch, CuPy, JAX, etc..
this is a somewhat confusing statement. most of these libraries actually don't rely on numpy. e.g. tensorflow ultimately wraps c++/eigen tensors  and numpy enters somewhere higher up in their python integration
Anyone attempted to convert stablediffusion tensorflow to tf lite?
3 projects | reddit.com/r/tensorflow | 20 Nov 2022
``` Downloading data from https://github.com/openai/CLIP/blob/main/clip/bpe\_simple\_vocab\_16e6.txt.gz?raw=true 1356917/1356917 [==============================] - 0s 0us/step WARNING:tensorflow:From /usr/local/lib/python3.7/dist-packages/tensorflow/python/autograph/pyct/static_analysis/liveness.py:83: Analyzer.lamba_check (from tensorflow.python.autograph.pyct.static_analysis.liveness) is deprecated and will be removed after 2023-09-23. Instructions for updating: Lambda fuctions will be no more assumed to be used in the statement where they are used, or at least in the same block. https://github.com/tensorflow/tensorflow/issues/56089 By using this model checkpoint, you acknowledge that its usage is subject to the terms of the CreativeML Open RAIL-M license at https://raw.githubusercontent.com/CompVis/stable-diffusion/main/LICENSE Downloading data from https://huggingface.co/fchollet/stable-diffusion/resolve/main/kcv\_encoder.h5 492466864/492466864 [==============================] - 7s 0us/step Downloading data from https://huggingface.co/fchollet/stable-diffusion/resolve/main/kcv\_diffusion\_model.h5 3439090152/3439090152 [==============================] - 85s 0us/step Downloading data from https://huggingface.co/fchollet/stable-diffusion/resolve/main/kcv\_decoder.h5 198180272/198180272 [==============================] - 3s 0us/step ``` I attempted to save the model from Keras_cv but it throws the same error.
Does anyone feel like R is actually vastly worse for dependency/environment management than Python?
3 projects | reddit.com/r/datascience | 15 Nov 2022
Python 3.11 is worse. It doesn't even support Tensorflow (at least as of now), which is arguably the most popular deep learning package in Python.
Elon Musk dissolves Twitter's board of directors
3 projects | reddit.com/r/business | 31 Oct 2022
So, clearly with your AP CS class and PLC logic knowledge, if you were dumped into a codebase like Hadoop, QT, or TensorFlow you'd be able to quickly and competently analyze what is going on with that code, understand all the libraries used, know the reasons why certain compromises were made, and be able to make suggestions on how to restructure the code in a different way? Because I've been programming for coming up on two decades and unless a system is within the domains that I have experience in, I would not be able to provide any useful information without a massive onboarding timeline, and definitely wouldn't be able to help redesign anything until actually coding within the system for a significant amount of time.
TF2.11 dropping official native support for Windows?
2 projects | reddit.com/r/tensorflow | 27 Oct 2022
It seems like Tensorflow 2.11 is dropping official native support for Windows. I was trying to compile TF 2.11-rc1 on Windows but hit with an error which I have reported here (https://github.com/tensorflow/tensorflow/issues/58323). They told me to refer to the release note (https://github.com/tensorflow/tensorflow/blob/v2.11.0-rc1/RELEASE.md#major-features-and-improvements)
2 projects | reddit.com/r/u_Matusadona_Wild303 | 25 Oct 2022
What are some alternatives?
PaddlePaddle - PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）
Prophet - Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
Cubes - Light-weight Python OLAP framework for multi-dimensional data analysis
orange - 🍊 :bar_chart: :bulb: Orange: Interactive data analysis
LightGBM - A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.
scikit-learn - scikit-learn: machine learning in Python
Airflow - Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
LightFM - A Python implementation of LightFM, a hybrid recommendation algorithm.
xgboost - Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
MLflow - Open source platform for the machine learning lifecycle
Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration