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python-science-tutorial's Introduction

Python Science Tutorials ๐Ÿ“ˆ๐Ÿ“Š

This repository will contain a series of scripts and notebooks to help people get acclimated to using Python for scientific publications.
Follow me at: @naveen.venkatesan


Table of Contents

  1. An Introduction to Making Scientific Publication Plots with Python

  2. Basic Curve Fitting of Scientific Data With Python

  3. Visualizing Three-Dimensional Data - Heatmaps, Contours, and 3D Plots with Python

  4. Intro to Dynamic Visualization with Python - Animations and Interactive Plots

  5. A Guide to Creating and Using Your Own Matplotlib Style

  6. Generate Easily Reproducible Scientific Figures with Pylustrator


An Introduction to Making Scientific Publication Plots with Python

Link to Article: https://towardsdatascience.com/an-introduction-to-making-scientific-publication-plots-with-python-ea19dfa7f51e

Notebook: python-plotting-intro.ipynb


Basic Curve Fitting of Scientific Data With Python

Link to Article: https://towardsdatascience.com/basic-curve-fitting-of-scientific-data-with-python-9592244a2509

Notebook: curve-fitting-tutorial.ipynb


Visualizing Three-Dimensional Data - Heatmaps, Contours, and 3D Plots with Python

Link to Article: https://towardsdatascience.com/visualizing-three-dimensional-data-heatmaps-contours-and-3d-plots-with-python-bd718d1b42b4

Notebook: heatmaps.ipynb


Intro to Dynamic Visualization with Python - Animations and Interactive Plots

Link to Article: https://towardsdatascience.com/intro-to-dynamic-visualization-with-python-animations-and-interactive-plots-f72a7fb69245

Notebook: animation.ipynb


A Guide to Creating and Using Your Own Matplotlib Style

Link to Article: https://towardsdatascience.com/a-guide-to-creating-and-using-your-own-matplotlib-style-30de6c60bac0

Style File: scientific.mplstyle


Generate Easily Reproducible Scientific Figures with Pylustrator

Link to Article: https://towardsdatascience.com/generate-easily-reproducible-scientific-figures-with-pylustrator-9426292e07a4

Python Script: plot.py


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