cheatsheets
KanjiStrokesAnalysis
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| cheatsheets | KanjiStrokesAnalysis | |
|---|---|---|
| 126 | 3 | |
| 7,234 | 0 | |
| 0.6% | - | |
| 7.1 | 0.0 | |
| 6 days ago | about 3 years ago | |
| Python | Jupyter Notebook | |
| BSD 2-clause "Simplified" 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.
cheatsheets
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Mastering Matplotlib: A Step-by-Step Tutorial for Beginners
Matplotlib - A Python 2D plotting library.
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How to retrieve and analyze crypto order book data using Python and a cryptocurrency API
Data visualization: utilizing Python's Matplotlib for visualizing order book information.
- Matplotlib
- Ask HN: What plotting tools should I invest in learning?
- Help with an array
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Getting visual studio code to work with imported library
Name: matplotlib Version: 3.7.1 Summary: Python plotting package Home-page: https://matplotlib.org Author: John D. Hunter, Michael Droettboom Author-email: [email protected] License: PSFLocation: /home/huinker/.local/lib/python3.10/site-packages
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PSA: You don't need fancy stuff to do good work.
Python's pandas, NumPy, and SciPy libraries offer powerful functionality for data manipulation, while matplotlib, seaborn, and plotly provide versatile tools for creating visualizations. Similarly, in R, you can use dplyr, tidyverse, and data.table for data manipulation, and ggplot2, lattice, and shiny for visualization. These packages enable you to create insightful visualizations and perform statistical analyses without relying on expensive or proprietary software.
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What else should I complete before applying for a data analyst role?
programming language: basic python, pandas, matplotlib -- you'll probably do these in school, but if not https://cs50.harvard.edu/python/2022/ https://matplotlib.org/
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[OC] Analyzing 15,963 Job Listings to Uncover the Top Skills for Data Analysts (update)
Analysis was done in Jupyter Notebook with Python 3.10, Pandas, Matplotlib, wordcloud and Mercury framework.
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[OC] Data Analyst Skills in need based on 15,963 job listings
Analysis was done in Jupyter Notebook with Python 3.10 kernel, Pandas, Matplotlib, wordcloud and Mercury framework to share notebook as a web application with widgets and code hidden. Gif created in Canva.
KanjiStrokesAnalysis
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Most Common Possible Readings of the Most Frequently Used Kanji | Python
* I wanted to weight the Kanji by frequency, as shown here: https://github.com/LexingtonWhalen/KanjiStrokesAnalysis
- Most Frequently Used Kanji Stroke Counts
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Analyzing Analyzing Average Kanji Complexity w/ Python
GitHub: https://github.com/LexingtonWhalen/KanjiStrokesAnalysis
What are some alternatives?
finplot - Performant and effortless finance plotting for Python
manim - A community-maintained Python framework for creating mathematical animations.
Fast-F1 - FastF1 is a python package for accessing and analyzing Formula 1 results, schedules, timing data and telemetry
Pandas - Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
geogebra - GeoGebra apps (mirror)
Keras - Deep Learning for humans
OpenCV - Open Source Computer Vision Library
NumPy - The fundamental package for scientific computing with Python.
chat-replay-downloader - A simple tool used to retrieve chat messages from livestreams, videos, clips and past broadcasts. No authentication needed!
seaborn - Statistical data visualization in Python
Cartopy - Cartopy - a cartographic python library with matplotlib support
scikit-learn - scikit-learn: machine learning in Python