A workshop on data visualization in Python with notebooks and exercises for following along. Slides contain all solutions.

Matplotlib is an amazing visualization library in Python for 2D plots of arrays. Matplotlib is a multi-platform data visualization library built on NumPy arrays and designed to work with the broader SciPy stack. It was introduced by John Hunter in the year 2002. One of the greatest benefits of visualization is that it allows us visual access to …

This repository is my attempt to help Data Science aspirants gain necessary Data Visualization skills required to progress in their career. It includes all the types of plot offered by Seaborn, applied on random datasets.

Data Visualization With Matplotlib and Seaborn

Resources for teaching & learning practical data visualization with python.

Data Visualization Tutorial | Matplotlib | Seaborn | Pandas

Python data visualization book

Repository for participants of the "Scientific Python" training

NumPy fundamentals for tensor computation; Matplotlib for data visualization

🌈 Gorgeous Plots and How To Use Them

Investigating Dataset contains information about 10,000+ movies collected from The Movie Database (TMDb)

This repo contains important libraries for data science / machine learning libraries

How to create a confusion matrix with the test result in your training model & How to visualize the history of network learning: accuracy, loss in graphs.

Jupyter notebooks for the course "Introduction to Python Programming for Economics & Finance" taught at Glasgow University

A book for tech and non-tech readers who want to know more and know how to improve their visualisation and story-telling skills

This repository contains tutorials about important python libraries: pandas, numpy, matplotlib, seaborn, plotly, cufflinks, BeautifulSoup, DateTime.

Jupyter notebooks for introductory Python course for the MSc program "Data Analytics for Economics and Finance" at the University of Glasgow.

Matplotlib tutorial based on video tutorial by Corey Schafer - https://bit.ly/2L7xsot

Herramientas fundamentales de Python para Cálculo Numérico y Ciencia de Datos.

Jupyter notebooks for part 1 of the course "Machine Learning in Finance with Python" (ECON5130) taught at Glasgow University