Pandas
pyexcel
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| Pandas | pyexcel | |
|---|---|---|
| 307 | 0 | |
| 36,692 | 1,100 | |
| 1.0% | 0.6% | |
| 10.0 | 6.7 | |
| 5 days ago | 3 months ago | |
| Python | Python | |
| BSD 3-clause "New" or "Revised" License | GNU General Public License v3.0 or later |
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.
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:
pyexcel
We haven't tracked posts mentioning pyexcel yet.
Tracking mentions began in Dec 2020.
What are some alternatives?
openpyxl
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
XlsxWriter - A Python module for creating Excel XLSX files.
Airflow - Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
xlwings - xlwings is a Python library that makes it easy to call Python from Excel and vice versa. It works with Excel on Windows and macOS as well as with Google Sheets and Excel on the web.
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