Ivan Idris - Learning NumPy Array

Ivan Idris has an MSc in Experimental Physics. His graduation thesis had a strong emphasis on applied computer science. After graduating, he worked for several companies as a Java developer, data warehouse developer, and QA analyst. His main professional interests are Business Intelligence, Big Data, and Cloud Computing. He enjoys writing clean, testable code and interesting technical articles. He is the author of NumPy 1.5 Beginner's Guide and NumPy Cookbook , Packt Publishing . You can find more information and a blog with a few NumPy examples at ivanidris.net.

I would like to take this opportunity to thank the reviewers and the team at Packt Publishing for making this book possible. Also, I would like to thank my teachers, professors, and colleagues who taught me about science and programming. Last, but not least, I would like to acknowledge my parents, family, and friends for their support.

Jonathan Bright has a BS in Electrical Engineering from Rensselaer Polytechnic Institute, and specializes in audio electronics and digital signal processing. He's been programming in Python since import antigravity (the XKCD comic mentioning Python) and contributes to the NumPy and SciPy projects.

Jaidev Deshpande is a software developer at Enthought, Inc., working on software for data analysis and visualization. He's been a research assistant at the University of Pune and Tata Institute of Fundamental Research, working on signal processing and machine learning. He has worked on Numpy Cookbook , Ivan Idris, Packt Publishing .

Mark Livingstone started his career working for many years for three international computer companies (which no longer exist) in engineering/support/programming/training roles but got tired of being made redundant. He then graduated from Griffith University, Gold Coast, Australia, with a bachelor's degree in Information Technology in 2011. In 2013, he graduated with an honors in B.InfoTech and is currently pursuing his PhD. All his research software is written in Python on a Mac.

Mark enjoys mentoring students with special needs. He is a past chairperson of the IEEE Griffith University Gold Coast Student Branch, volunteers as a qualified Justice of the Peace at the local district courthouse and has been a Credit Union Director. He has also completed 104 blood donations.

In his spare time, he co-develops the Salstat2 statistics package available at https://sourceforge.net/projects/s2statistical/, which is multiplatform and uses wxPython, NumPy, SciPy, Scikit, Matplotlib, and a number of other Python modules.

Mikls Prisznyk is a senior software engineer with a scientific background. He graduated as a physicist from the Etvs Lrnd University, the largest and oldest university in Hungary. He did his MSc thesis on Monte Carlo simulations of non-Abelian lattice quantum field theories in 1992. Having worked for three years in the Central Research Institute for Physics of Hungary, he joined MultiRci Kft. in Budapest, a company founded by physicists, which specializes in mathematical data analysis and forecasting economic data.

His main project was the Small Area Unemployment Statistics System, which has been in official use at the Hungarian Public Employment Service since then. He learned about the Python programming language there in 2000. He set up his own consulting company in 2002 and then worked on various projects for insurance, pharmacy, and e-commerce companies, using Python whenever he could. He also worked in a European Union research institute in Italy, testing and enhancing a distributed, Python-based Zope/Plone web application.

He moved to Great Britain in 2007 and first worked with a Scottish start-up, using Twisted Python. Then he worked in the aerospace industry in England using, among other things, the PyQt windowing toolkit, the Enthought application framework, and the NumPy and SciPy libraries. He returned to Hungary in 2012 and rejoined MultiRci, where he's been working on a Python extension module for OpenOffice/EuroOffice, using NumPy and SciPy again, which allows users to solve nonlinear and stochastic optimization and statistical problems.

Mikls likes to travel, read, and he is interested in science, linguistics, history, politics, the board game of Go, and quite a few other topics. Besides these, he always enjoys a good cup of coffee. However, spending time with his brilliant 11-year-old son, Zsombor, is the most important thing for him.

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