This hands-on guide is aimed at practitioners in the area of data science. The book assumes some previous skills with Julia and in coding in a scripting language such as Python, Matlab, or R-or otherwise in a compiled language such as C, Fortran, or Java. Experience in specific study areas such as database, networking, statistics, and mathematics is not required.
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Dr Malcolm Sherrington has been working in computing for over 35 years. He holds degrees in Mathematics, Chemistry and Engineering and has lectured at two separate universities in the UK as well as working in the Aerospace and Healthcare Industries. Currently he is running his own company working in the Finance sector, with specific interests in High Performance Computing and applications of GPUs and parallelism. Always hands-on, Malcolm started programming scientific problems in Fortran and C, progressing thorough Ada and Common Lisp and recently became involved with data processing and analytics in Perl, Python and R. Malcolm is the organizer of the London Julia User Group, as well as a co-organizer of the UK - High Performance Computing and the Financial Engineers and Quants London meetup groups.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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