Curiosity Data Analysis - data codes science research
Curiosity is science
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 is a programming language that lets you work quickly and integrate systems more effectively
providing high-performance,easy-to-use data structures and data analysis tools for the Python.
NumPy is the fundamental package for scientific computing with Python
is a Python 2D plotting library which produces publication quality figures in a variety of hardcopy formats and interactive environments across platforms.
exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages.
creates leading open source tools for composing, editing, and sharing interactive data visualization via the Web.
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 is a simple markup language originally created by John Gruber and Aaron Swartz. Markdown converts your text into valid HTML.
Projects developed by the organization
Project initiated
Learning
Hourse Work
Cups of coffes