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Cheatsheets Alternatives
Similar projects and alternatives to cheatsheets
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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
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InfluxDB
Collect and Analyze Billions of Data Points in Real Time. Manage all types of time series data in a single, purpose-built database. Run at any scale in any environment in the cloud, on-premises, or at the edge.
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manim
A community-maintained Python framework for creating mathematical animations. (by ManimCommunity)
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Onboard AI
Learn any GitHub repo in 59 seconds. Onboard AI learns any GitHub repo in minutes and lets you chat with it to locate functionality, understand different parts, and generate new code. Use it for free at www.getonboard.dev.
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Fast-F1
FastF1 is a python package for accessing and analyzing Formula 1 results, schedules, timing data and telemetry
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d3
Bring data to life with SVG, Canvas and HTML. :bar_chart::chart_with_upwards_trend::tada:
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Pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
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WebPlotDigitizer
HTML5 based online tool to extract numerical data from plot images.
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awesome-python
A curated list of awesome Python frameworks, libraries, software and resources
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Scrapy
Scrapy, a fast high-level web crawling & scraping framework for Python.
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cheatsheets reviews and mentions
- Ask HN: What plotting tools should I invest in learning?
- Help with an array
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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.
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About to lose access to MATLAB, is Python a realistic replacement for DSP algorithm development?
Edit: recommended libraries A python version of Matlab plotting down to the syntaxes matching.
- What is something you wish there was a Python module for?
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Suggestions for Udemy, Coursera, DataCamp, Pluralsight courses for Pandas and Visualization? So many options out there...project-based ones would be ideal. Or the ones to avoid or overrated courses?
https://matplotlib.org https://seaborn.pydata.org
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Pandas Free Online Tutorial In Python — Learn Pandas Basics In 5 Lessons!
This part will teach you how to make various sorts of visualisations with Pandas and other popular libraries like Matplotlib and Seaborn. You will learn how to make line plots, scatter plots, bar plots, and other types of plots.
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Stats
matplotlib/cheatsheets is an open source project licensed under BSD 2-clause "Simplified" License which is an OSI approved license.
The primary programming language of cheatsheets is Python.