Liste de mes lectures informatives. / List of my informative readings.

Titre/Title ISBN-13
SQL for MySQL 978‑0131497351
The Passionate Programmer: Creating a Remarkable Career in Software Development (Pragmatic Life) 978-1934356340
The Psychology of Computer Programming: Silver Anniversary Edition 978-0932633422
High Performance Computing 9781565923126
ReWork: Change the Way You Work Forever 978-0091929787
The Daily You: How the New Advertising Industry Is Defining Your Identity and Your Worth 978-0300165012
Head First Design Patterns 978-0596007126
Effective C++: 55 Specific Ways to Improve Your Programs and Designs (3rd Edition) 978-0321334879
Pro Git 978-1430218333
The Pragmatic Programmer: From Journeyman to Master 978-0201616224
Robert’s Rules of Order Newly Revised In Brief, 2nd edition 978-0306820199
Python Cookbook 978-1449340377
Cloud Application Architectures: Building Applications and Infrastructure in the Cloud 978-0596156367
Grid Computing: The Savvy Manager’s Guide 978-0127425030
Remote 978-0804137508
Introduction to Scheduling 978-1420072730
The Internet Police: How Crime Went Online, and the Cops Followed 978-0393349450
Making Sense of NoSQL: A guide for managers and the rest of us 978-1617291074
The Lean Startup 978-0307887894
The Hacker Playbook: Practical Guide To Penetration Testing 978-1494932633
MongoDB in Action 978-1935182870
The Effective Engineer 978-0996128100
Big Data 978-1617290343
Effective Modern C++: 42 Specific Ways to Improve Your Use of C++11 and C++14 978-1491903995
Stop Workplace Drama 978-0470885734
Fluent Python (Meap) 978-1491946008
Lean Software Development: An Agile Toolkit for Software Development Managers 978-0321150783
Evaluating Machine Learning Models
Démarquez-vous 978-2897054007
Your Brain at Work 978-0061771293
Exceptional C++: 47 Engineering Puzzles, Programming Problems, and Solutions 978-0201615623
Modern C++ Design: Generic Programming and Design Patterns Applied 978-0201704310
The Hard Thing About The Hard Things 978-0062273208
The Signal and the Noise 978-1594204111
Machine Learning in Action 978-1617290183

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