Curiosity Data Analysis

Curiosity Data Analysis - data codes science research

Curiosity is science

The organization

Organization created by computer scientists and fascinated by data. The organization aims to analyze the most varied data (public data), where the collection, analysis and demonstration of results for the most varied types of users will be carried out. Tools used:

Python

Python is a programming language that lets you work quickly and integrate systems more effectively

Pandas

providing high-performance,easy-to-use data structures and data analysis tools for the Python.

Numpy

NumPy is the fundamental package for scientific computing with Python

Matplotlib

is a Python 2D plotting library which produces publication quality figures in a variety of hardcopy formats and interactive environments across platforms.

Jupyter

exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages.

Plotly

creates leading open source tools for composing, editing, and sharing interactive data visualization via the Web.

BeautifulSoup

is a Python library for pulling data out of HTML and XML files. It works with your favorite parser to provide idiomatic ways of navigating, searching, and modifying the parse tree.

Markdown

Markdown is a simple markup language originally created by John Gruber and Aaron Swartz. Markdown converts your text into valid HTML.

Projects

Projects developed by the organization

Prediction of SPAMs in messages of mobile devices

Distro Watch API

3

Project initiated

3072

Learning

128

Hourse Work

8000

Cups of coffes

Contact us

This organization is FREE, so you participate simply have an idea, a relevant data set and creativity to carry out the analysis and get results. For more information contact in Gitter or GitHub .