Inżynieria danych w praktyce. Kluczowe koncepcje i najlepsze technologie

Joe Reis, Matt Housley

IPython Interactive Computing and Visualization Cookbook. Harness IPython for powerful scientific computing and Python data visualization with this collection of more than 100 practical data science recipes

Cyrille Rossant

IPython Interactive Computing and Visualization Cookbook. Over 100 hands-on recipes to sharpen your skills in high-performance numerical computing and data science in the Jupyter Notebook - Second Edition

Cyrille Rossant

Jak analizować dane z biblioteką Pandas. Praktyczne wprowadzenie. Wydanie II

Daniel Y. Chen

Java Data Analysis. Data mining, big data analysis, NoSQL, and data visualization

John R. Hubbard

Java Data Science Cookbook. Explore the power of MLlib, DL4j, Weka, and more

Rushdi Shams

Java: Data Science Made Easy. Data collection, processing, analysis, and more

Richard M. Reese, Jennifer L. Reese, Alexey Grigorev

Java Deep Learning Cookbook. Train neural networks for classification, NLP, and reinforcement learning using Deeplearning4j

Rahul Raj

Java for Data Science. Examine the techniques and Java tools supporting the growing field of data science

Richard M. Reese, Jennifer L. Reese

Język R i analiza danych w praktyce. Wydanie II

Nina Zumel, John Mount

Język R. Kompletny zestaw narzędzi dla analityków danych

Hadley Wickham, Garrett Grolemund

Język R. Receptury. Analiza danych, statystyka i przetwarzanie grafiki. Wydanie II

JD Long, Paul Teetor

Julia 1.0 Programming Cookbook. Over 100 numerical and distributed computing recipes for your daily data science work?ow

Bogumił Kamiński, Przemysław Szufel

Julia for Data Science. high-performance computing simplified

Anshul Joshi

Jupyter Cookbook. Over 75 recipes to perform interactive computing across Python, R, Scala, Spark, JavaScript, and more

Dan Toomey

Jupyter for Data Science. Exploratory analysis, statistical modeling, machine learning, and data visualization with Jupyter

Dan Toomey