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 huge amounts of data in easily digestible visuals. Matplotlib consists of several plots like line, bar, scatter, histogram, etc

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

Numpy and matplotlib tutorial for beginners using a breastcancer dataset

This repo is a collection of basic and frequently used Python code examples, ranging from beginner-level syntax to hands-on usage of popular Python libraries.

This repository contains all basics tutorials on Python, Pandas, Numpy, Matplotlib

A Repository for essential libraries of python to perform data manipulation, wrangling and visualization.

tutorials for easy understanding of matplotlib and seaborn commands for graph plotting

Matplotlib Beginner-to-Pro: practical EDA patterns, clean styling helpers, and export-ready figures.

DATA-X: m130 - Introduction to Visual Principles Using Matplotlib and Seaborn. Provides users with the necessary foundations for building and understanding current state of the art visualizations. An additional aim is to provide users with an understanding of both the theory and techniques of various visualization paradigms. Finally, this series of notebooks seeks to provide sufficient knowledge to users so that they may build & evaluate various visualization systems, read & discuss visualization literature, and successfully convey visual information.

Matplotlib Module Basics

An educational repository intended for First Year Students of VJTI, Mumbai to learn and familiarise themselves with Python, explore it's amazing reach in various domains and also work with making Pull Requests and solving Issues on Github, to experience open source professionally and practically.

Courses on Data Science Fields