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Codes for Python By Example, Published by Packt
A list of python problems for beginners and intermediate developers
Course materials and handouts for #100DaysOfCode in Python course
100 days of ML code challenge
Advanced Data Structures and Algorithms in Python [Video], published by Packt
Exercises from textbook Algorithms (by Sanjoy Dasgupta, Christos H. Papadimitriou, Umesh Vazirani)
Anatomy of Matplotlib -- tutorial developed for the SciPy conference
Code for Applied Text Analysis with Python
My solutions to all of the projects in Automate the Boring Stuff With Python by Al Sweigart
Code solutions for the Book Automate the Boring stuff by AL Sweigart
The most common question-patterns for any coding-interview
Must-know competitive programming problems with solutions and intuitive visualizations
💿 Free software that works great, and also happens to be open-source Python.
Source Code for 'Basic Math for Game Development with Unity 3D' by Kelvin Sung and Greg Smith
Repository for scripts and notebooks from the book: Beginner’s Guide to Using PyTorchfor Deep Learning
Perform reproducible data analyses with these data exploration tools
Working through Al Sweigart's Book "Automating the Boring Stuff with Python" (2nd Edition)
Material for teaching calculus in the Bachelor in AI at Radboud university.
Source Code for the Book Classic Computer Science Problems in Python
Algorithms implemented to aid my study of algorithms class. Algorithms Sanjoy Dasgupta textbook.
🌺算法竞赛论文,课件,文档,笔记,平台等资料,不断更新中
Data Science, Data Analysis, Machine Learning (Artificial Intelligence) and Python with Tensorflow, Pandas & more.
This Repository contains all my codes for preparing interview.
:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计、Java、Python、C++
A collection of Python coding works for data analysis topics using analytics packages, including Numpy, Pandas, Matplotlib, and Seaborn.
Following along the book "Learn Data Analysis with Python - Lessons in Coding" by A.J. Henley & Dave Wolf
Data Analysis with R Second Edition, published by Packt
Course Outline Data wrangling is a core skill that everyone who works with data should be familiar with since so much of the world's data isn't clean. Though this course is geared towards those who use Python to analyze data, the high-level concepts can be applied in all programming languages and software applications for data analysis. Lesson 1: The Walkthrough In the first lesson of this course, we'll walk through an example of data wrangling so you get a feel for the full process. We'll introduce gathering data, then download a file from the web and import it into a Jupyter Notebook. We'll then introduce assessing data and assess the dataset we just downloaded both visually and programmatically. We'll be looking for quality and structural issues. Finally, we'll introduce cleaning data and use code to clean a few of the issues we identified while assessing. The goal of this walkthrough is awareness rather than mastery, so you'll be able to start wrangling your own data even after just this first lesson. Lessons 2-4: Gathering, Assessing, and Cleaning Data (in Detail) In the following lessons, you'll master gathering, assessing, and cleaning data. We'll cover the full data wrangling process with real datasets too, so think of this course as a series of wrangling journeys. You'll learn by doing and leave each lesson with tangible skills. Your In
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
Code for the book Deep Learning From Scratch, from O'Reilly September 2019
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.