# Data Science in Julia for Hackers **URL:** \ **Category:** Data Science\ **Tags:** julia, in-the-news\ **Created:** [21 March 2021 02:36 UTC](https://forum.devtalk.com/t/data-science-in-julia-for-hackers/8048 "2021-03-21T02:36:05Z")\ **Posts on this page:** 1\ **Page:** 1
**Author:** ![CommunityNews](https://forum.devtalk.com/user_avatar/forum.devtalk.com/communitynews/32/1113_2.png) [@CommunityNews](https://forum.devtalk.com/u/CommunityNews)\ **Post date:** [21 March 2021 02:36 UTC](https://forum.devtalk.com/t/data-science-in-julia-for-hackers/8048/1 "2021-03-21T02:36:05Z")
> One of the first things to note about this book is that it is not an academic textbook. The authors of this book are not academics but a multidisciplinary team of passionate, amateur practitioners from different backgrounds, namely Engineering, Computer Science, Physics and Economy, that found a common ground to write this book, and that day by day keep reading, learning and applying new approaches, technologies and ways of thinking. This book lies somewhere in between a methodological recipe and a theoretical intensive textbook. What we want to deliver is a mathematical and computational methodology to face concrete Data Science problems, that is, applying theory and science to real-world problems involving data. The relationship between theory and practice is complex. Considering them as a whole can take us much farther. These pages may offer the theorist a way to think about problematic situations in a more down to earth manner, and to the practitioner, stimulation to go beyond the mere application of programming libraries and tools… > **[Data Science in Julia for Hackers](https://datasciencejuliahackers.com/)** > > Data Science in Julia for Hackers _This thread was posted by one of our members via one of our news source trackers._