Think Stats: Exploratory Data Analysis in Python
Allen Downey
Think Python 2 - How to think like a Computer Scientist
The Quick Python Book [3e]
Naomi Ceder
Is Parallel Programming hard, and, if so, what can you do about ...
Paul McKenney
SQL Performance Explained
Markus Winand
Sequential Decision Analytics and Modeling (Part 2)
Warren B. Powell
Sequential Decision Analytics and Modeling (Part 1)
Gefährdung und Verletzbarkeit moderner Gesellschaften - am Beispiel ...
Büro für Technikfolgen-Abschätzung beim Deutschen Bundestag
Think Java - How to Think Like a Computer Scientist [2e]
The Hundred-page Machine Learning Book
Andriy Burkov
Stochastic Programming
Willem Haneveld & Maarten van der Vlerk & Ward Romeijnders
SSH Mastery [2e]
Michael Lucas
Lectures on Stochastic Programming [1e]
Alexander Shapiro & Darinka Dentcheva & Andrzej Ruszczyński
Ratgeber für Notfallvorsorge und richtiges Handel in Notsituationen
Bundesamt für Bevölkerungsschutz und Katastrophenhilfe
Ratgeber für Notfallvorsorge und richtiges Handeln in Notsituationen
Python Essential Reference [4e]
David Beazley
Naked Statistics
Charles Wheelan
Naked Money
Mastering Ubuntu Server [3e]
Jay LaCroix
Machine Learning Engineering
SQL for Smarties [5e]
Joe Celko
Introduction to Stochastic Programming [2e]
John Birge & François Louveaux
Hands-On Application Development with PyCharm
Quan Nguyen
Handbook of Simulation Optimization
Michael Fu
Functional Programming in Python
David Mertz
From Bash to Z Shell
Oliver Kiddle & Peter Stephenson & Jerry Peek
Artificial Intelligence in Finance
Yves Hilpisch
Systems Programming in Unix/Linux
K.C. Wang
Probability and Statistics for Computer Science
David Forsyth
Introduction to Deep Learning
Sandro Skansi
Applied Linear Algebra [2e]
Peter Olver & Chehrzad Shakiban
The Data Science Design Manual
Steven Skiena
LaTeX in 24 Hours
Dilip Datta
Introduction to Data Science
Laura Igual & Santi Seguí
Introduction to Artificial Intelligence [2e]
Wolfgang Ertel
Design and Analysis of Experiments [2e]
Angela Dean & Daniel Voss & Danel Draguljic
Naked Economics: Undressing the Dismal Science
Foundations of Python Network Programming [3e]
Brandon Rhodes & John Goerzen
Database Design for Mere Mortals [4e]
Michael Hernandez
Python for Finance
Python for Algorithmic Trading
Classic Computer Science Problems in Python
David Kopec
Category Theory for Programmers [v1.3]
Bartosz Milewski
Artificial Intelligence: A Modern Approach [4e]
Stuart Russell & Peter Norvig
Approximate Dynamic Programming: Solving the Curses of Dimensionality
Approximate Dynamic Programming for Dynamic Vehicle Routing
Marlin Wolf Ulmer
Applied Quantitative Finance [3e]
Wolfgang Härdle & Cathy Yi-Hsuan Chen & Ludger Overbeck
An Introduction to Machine Learning [2e]
Miroslav Kubat
Recommender Systems
Charu Aggarwal
Principles of Data Mining [3e]
Max Bramer
Introduction to Time Series and Forecasting [3e]
Peter Brockwell & Richard Davis
Guide to Discrete Mathematics
Gerad O'Regan
Linear Algebra done right [3e]
Sheldon Axler
Linear Algebra
Jörg Liesen & Volker Mehrmann
Data Structures and Algorithms with Python
Kent Lee & Steve Hubbard
Applied Multivariate Statistical Analysis [4e]
Wolfgang Härdle & Léopold Simar
Bayesian and Frequentist Regression Methods
Jon Wakefield
Time Series Analysis: With Applications in R [2e]
Jonathan Cryer & Kung-Sik Chan
Introductory Statistics with R [2e]
Peter Dalgaard
Cracking Codes With Python
Al Sweigart