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| manual | cheatsheets | |
|---|---|---|
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| - | 7,238 | |
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manual
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Upcoming epispot and epispot nightly features
Epispot developers are working on epidash, which is a interactive demo for epispot on the web. It's kind of like covasim's dashboard, but not for COVID-19, and much more customizable. Epispot also got a neat new manual for a detailed guide on using epispot. The manual can be viewed here Speaking of documentation, epispot documentation is going to get a overhaul with a new template for pdoc3 to use. Stay tuned for this, though it will come in a bit.
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.
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
Keras - Deep Learning for humans
geogebra - GeoGebra apps (mirror)
OpenCV - Open Source Computer Vision Library
chat-replay-downloader - A simple tool used to retrieve chat messages from livestreams, videos, clips and past broadcasts. No authentication needed!
NumPy - The fundamental package for scientific computing with Python.
seaborn - Statistical data visualization in Python
Cartopy - Cartopy - a cartographic python library with matplotlib support
scikit-learn - scikit-learn: machine learning in Python