faster-python-with-taichi
Pandas
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| faster-python-with-taichi | Pandas | |
|---|---|---|
| 3 | 307 | |
| 73 | 36,692 | |
| - | 1.0% | |
| 7.1 | 10.0 | |
| 17 days ago | 4 days ago | |
| Python | Python | |
| - | BSD 3-clause "New" or "Revised" License |
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faster-python-with-taichi
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Accelerate Python code 100x by import taichi as ti
You can refer to the source code of three examples comparing Taichi with Python here.
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Accelerate Python code 100x using Taichi Lang
A shortcut to the source code of the three cases: https://github.com/taichi-dev/faster-python-with-taichi.
Pandas
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How to query pandas DataFrames with SQL
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.
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What are the best Python libraries to learn for beginners?
panda’s
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Replacing Pandas with Polars. A Practical Guide
> 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 [0]. So much for "all the bugs have been ironed out".
[0] https://github.com/pandas-dev/pandas/issues?q=is%3Aopen+is%3...
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Joining the Open Source Development Course
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.
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Pandas VS Rath - a user suggested alternative
2 projects | 12 Jan 2023
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Twitter Data Pipeline with Apache Airflow + MinIO (S3 compatible Object Storage)
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:
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Hanukkah of Data 2022 - Puzzle 2
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
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Tor Network Statistics & Performance [OC]
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.
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How to take inputs from an ascii file in Python
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:
What are some alternatives?
Cubes - Light-weight Python OLAP framework for multi-dimensional data analysis
orange - 🍊 :bar_chart: :bulb: Orange: Interactive data analysis
tensorflow - An Open Source Machine Learning Framework for Everyone
Airflow - Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
pyexcel - Single API for reading, manipulating and writing data in csv, ods, xls, xlsx and xlsm files
Keras - Deep Learning for humans
SymPy - A computer algebra system written in pure Python
Dask - Parallel computing with task scheduling
NumPy - The fundamental package for scientific computing with Python.
Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration
blaze - NumPy and Pandas interface to Big Data
Scrapy - Scrapy, a fast high-level web crawling & scraping framework for Python.