About the Reviewer

Sébastien Celles is a professor of applied physics at Poitiers Institute of Technology (Université de Poitiers—IUT de Poitiers—thermal science department). He teaches physics and computer sciences (data processing).

He has used Python for numerical simulations, data plotting, data predicting, and various other tasks since the early 2000s. He is a member of PyData and was granted commit rights to the pandas DataReader project. He is also involved in several open source projects about the scientific Python ecosystem.

He is also author of some Python packages available on PyPi:

• openweathermap_requests: A package to fetch data from http://openweathermap.org/ using requests and requests-cache and get pandas DataFrames with weather history

• pandas_degreedays: A package to calculate degree days (a measure of heating or cooling) from a pandas time series of temperature

• pandas_confusion: A package to manage confusion matrices, plot them, binarize them, calculate overall statistics, and class statistics

He made some contributions (unit testing, continuous integration, Python 3 port…) too:

• python-constraint: A Constraint Solving Problem (CSP) resolver for Python

He was a technical reviewer of Mastering Python for Data Science explores the world of data science through Python and learn how to make sense of data. Samir Madhavan. Birmingham, UK, Packt Publishing, August 2015.

Two years ago, he started to learn Julia, with which he has performed various tasks about data mining, machine learning, forecasting, and so he's a user of (and sometimes a contributor too) some Julia packages (DataStructures.jl, CSV.jl, DataFrames.jl, TimeSeries.jl, NDSparseData.jl, JuliaTS.jl, MLBase.jl, Mocha.jl, and so on)

He is also author of some Julia packages:

• Pushover.jl: A package to send notifications using the Pushover Notification Service

• BulkSMS.jl: A Julia package to send SMS (Short Message Service) using BulkSMS API

• DataReaders.jl: A package to get remote data via Requests.jl and get DataFrames thanks to DataFrames.jl

• RequestsCache.jl: A transparent persistent cache using the Requests.jl library to perform requests and using JLD.jl library as a storage backend

• PubSub.jl: A very basic implementation of the publish-subscribe pattern

• SignalSlot.jl: A very basic implementation of the signal-slot pattern

• TALib.jl: A Julia wrapper for TA-Lib (Technical Analysis Library)

He has a keen interest in open data and he is a contributor of some projects of the Open Knowledge Foundation (especially around the DataPackage format).

You can find more information about him at http://www.celles.net/wiki/Contact.