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Pandas is a high-level data manipulation tool developed by Wes McKinney. It is built on the Numpy package and its key data structure is called the DataFrame. DataFrames allow you to store and manipulate tabular data in rows of observations and columns of variables.
Materials for Applied Data Analysis CS-401, Fall 2021
Course Repository for "Introduction to Scientific Programming with Python" (UNIL, FGSE, Fall 2022)
Google Collab Notebooks for the UNIL Spring 2022 course on ML for Earth and Environmental Sciences
How to do Bayesian statistical modelling using numpy and PyMC3
This tutorial's purpose is to introduce people to the [2019 Novel Coronavirus COVID-19 (2019-nCoV) Data Repository by Johns Hopkins CSSE](https://github.com/CSSEGISandData/COVID-19) and how to explore it using some foundational packages in the Scientific Python Data Science stack.
Data Science Using Python
Repository of teaching materials, code, and data for my data analysis and machine learning projects.
Data Analysis Using Python: A Beginner’s Guide Featuring NYC Open Data
R , Python, Machine Learning, Data Analysis, Data Visualization,Data Manipulation,Data Cleaning
Cheat Sheets
Implements common data science methods and machine learning algorithms from scratch in python. Intuition and theory behind the algorithms is also discussed.
For extensive instructor led learning
Collection of data science projects in Python
A Case Study Approach to Successful Data Science Projects Using Python, Pandas, and Scikit-Learn
Data Science Tutorial
This tutorial playlist covers data structures and algorithms in python. Every tutorial has theory behind data structure or an algorithm, BIG O Complexity analysis and exercises that you can practice on.
Data Science Repo and blog for John Hopkins Coursera Courses. Please let me know if you have any questions.
This repository hosts code for my Time Series videos part of playlist here - https://www.youtube.com/playlist?list=PL3N9eeOlCrP5cK0QRQxeJd6GrQvhAtpBK
Exploratory Data Analysis with Pandas and Python 3.x, published by Packt
Live Training Session: Hacker Stats in Python
Materials for following along with Hands-On Data Analysis with Pandas – Second Edition
Hands-on Exploratory Data Analysis with Python, published by Packt
Statistics for Data Science with Python
An intro to Python & programming for wanna-be data scientists
Introduction to Statistics using Python
Introduction to Data Science: A Python Approach to Concepts, Techniques and Applications
Repository containing Jupyter Notebooks for most of the blog posts on my blog. For example, there are data visualization, data manipulation, and data analysis code examples in the Notebooks
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.