Python Científico

Márcio Valença Ramos

CUBO

Vamos falar de

Ciência

Vamos falar de

Python

Beautiful

&

“Fast”

Mas e o ?

$$

Liberdade

; Em muitas linguagens:

Fim de linha

Em Python:

Inútil

No Matlab:

Suprima saída para o stdout

() count(2)

Count é uma função? Um vetor?

WAT

http://www.pyzo.org/python_vs_matlab.html

+ = 2 2 2

SciPy (pronounced “Sigh Pie”)

is a Python-based

ecosystem of open-source

software for mathematics,

science, and engineering.

Peças deste

Lego

NumPy is the fundamental package for

scientific computing with Python. It contains

among other things:

• A powerful N-dimensional array object

• Sophisticated (broadcasting) functions

• Tools for integrating C/C++ and Fortran

code

• Useful linear algebra, Fourier transform, and random number capabilities

The SciPy library is one of the core packages

that make up the SciPy stack.

It provides many user-friendly and efficient

numerical routines such as routines for numerical

integration and optimization.

matplotlib is a python 2D plotting library which

produces publication quality figures in a variety of hardcopy

formats and interactive environments across platforms.

matplotlib can be used in python scripts, the python

and ipython shell (ala MATLAB or Mathematica), web

application servers, and six graphical user interface toolkits.

IPython provides a rich architecture for interactive

computing with:

• Powerful interactive shells (terminal and Qt-based).

• A browser-based notebook with support for code, text,

mathematical expressions, inline plots and other rich

media.

• Support for interactive data visualization and use of GUI

toolkits.

• Flexible, embeddable interpreters to load into your own

projects.

• Easy to use, high performance tools for parallel computing.

SymPy is a Python library for symbolic

mathematics. It aims to become a full-

featured computer algebra system (CAS)

while keeping the code as simple as

possible in order to be comprehensible

and easily extensible.

pandas is an open source, BSD-licensed

library providing high-performance, easy-to-

use data structures and data analysis tools

for the Python programming language.

scikit-learn Machine Learning in Python: • Simple and efficient tools for data mining and

data analysis

• Accessible to everybody, and reusable in various

contexts

• Built on NumPy, SciPy, and matplotlib

• Open source, commercially usable - BSD license

#NumPy

#SymPy

#Scikit-learn

#Juntando várias

Dúvidas?

Obrigado! slideshare.net/marrciovr cubomarrcio@gmail.com facebook.com/marrciovr