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Type: User
Bio: Mine engineer and computer engineer
Location: Spain
Type: User
Bio: Mine engineer and computer engineer
Location: Spain
Some useful Tips and Tricks to speed up the data analysis process in Python.
📢 Ready to learn! ✌ you will learn 10 skills as data scientist: Machine Learning, Deep Learning, Data Cleaning, EDA, Learn Python, Learn python packages such as Numpy, Pandas, Seaborn, Matplotlib, Plotly, Tensorfolw, Theano...., Linear Algebra, Big Data, Analysis Tools and solve some real problems such as predict house prices.
My #100DaysOfCode repo housing all of the projects and scripts I've made during the 100 days.
Course materials and handouts for #100DaysOfCode in Python course
Enseñando pensamiento computacional a partir de python one-liners
Material for Pandas Tutorial at Pydata Carolinas 2016
My notes on and solutions to the book "A Primer on Scientific Programming with Python" by Hans Petter Langtangen.
https://www.kaggle.com/residentmario/advanced-pandas-exercises
Seminario Python AEMARK 2017
The art of effective visualization of multi-dimensional data
:sunglasses: Curated list of awesome lists
Awesome list of repositories of awesome lists 🤷♀️
A curated list of awesome big data frameworks, ressources and other awesomeness.
A curated list of awesome Machine Learning frameworks, libraries and software.
A curated list of awesome MySQL software, libraries, tools and resources
A topic-centric list of HQ open datasets.
A curated list about Python in Education :snake: :mortar_board:
A curated list of awesome articles, software libraries and resources on Scientific Computing
bamboolib - a UI for pandas dataframes. Stop googling pandas commands
Become a Python Data Analyst, published by Packt
Materials from the Data Science with Spark and R
Material de apoyo del libro BIG DATA CON PYTHON. Recolección, almacenamiento y procesamiento de datos, de Enrique Martín Martín, Adrián Riesco y Rafael Caballero, editado por RC libros
Ejercicio de borrar un registro por posición en un fichero secuencia
Camelot: PDF Table Extraction for Humans
CatBoost is an open-source gradient boosting on decision trees library with categorical features support out of the box for Python, R
Repositorio de datos y slides de las charlas llevadas a cabo por el grupo de Python Vigo
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.