SAS Publications


Passionate about SAS Code, we stay up-to-date regarding the latest SAS developments thanks to the SAS training, the SAS Support , the SUGI , the SAS Global Forum, SASENSEI, the SAS Belux User group or the SAS communities.

This page contains interesting papers we collected throught the Web and are used for our coaching preparations and our specific consultancy activities. Download them for free and read them where you want!!!

Publication list

Python basics

This paper is a bible of cheat sheet in Python! It collect 12 different cheat sheet together in one single document: introduction, lists, dictionaries, if statements and while loops, functions, classes, files and exceptions, test your code, pygame, matplotlib, pygal and django.

Python keras

This paper is a cheat sheet talking about Keras. Keras is a powerful and easy-to-use deep learning library for Theano and TensorFlow that provides a high-level neural networks API to develop and evaluate deep learning models.

Python Scikit-Learn

This paper is a cheat sheet talking about Scikit-learn. Scikit-learn is an open source Python library that implements a range of machine learning, preprocessing, cross-validation and visualization algorithms using a unified interface.

Python SciPy

This paper is a cheat sheet talking about SciPy. The SciPy library is one of the core packages for scientific computing that provides mathematical algorithms and convenience functions built on the NumPy extension of Python

Reading and Writing Data with Pandas

This paper is a cheat sheet talking about Pandas. The various illustrations provides an easy way to understand the syntax. 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.

Introduction of Python Programming

This paper is a Python course developed in 2009 at the University of Durham explaining tons of things on Python programming langage.

Linear Regression in Python

Linear regression is one of the fundamental statistical and machine learning technique. This paper talk about linear regression with Python: definition, packages, examples, how to implement

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