0.1 Data Processing & Computer Science Collection home page

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Collection's Items (Sorted by Submit Date in Descending order): 5001 to 5020 of 5071
Issue DateTitleAuthor(s)
2014Head First Design PatternsRobson, Eric Freeman, Elisabeth Bert Bates, Kathy Sierra
2019Hands-On Unsupervised Learning Using Python: How to Build Applied Machine Learning Solutions from Unlabeled DataA Patel, Ankur
2018Hacking for DummiesBeaver, Kevin
2019Grokking Deep LearningW. Trask, Andrew
2020Fundamentals of Software Architecture: An Engineering ApproachNeal Ford, Mark Richards
2018Full Stack JavaScript: Learn Backbone.js, Node.js, and MongoDB, 2nd EditionMardan, Azat
2018Flask Web Development: Developing Web Applications With Python https://1libGrinberg, Miguel
2017Excel VBA - Step by Step Guide To Learning Excel Programming Language For BeginnersJay, Jason
2018Eloquent Javascript: A Modern Introduction to ProgrammingHaverbeke, Marijn
2017Dynamic Programming for Coding Interviews: A Bottom-Up Approach to Problem SolvingKamal Rawat, Meenakshi
2019Docker in PracticeAiden Hobson Sayers, Ian Miell
2017Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable SystemsKleppmann, Martin
2018CSS in DepthJ. Grant, Keith
2018Cracking Codes with Python: An Introduction to Building and Breaking CiphersSweigart, Al
2014C++ How to ProgramHarvey Deitel, Paul Deitel
2019C# in DepthSkeet, Jon
2009Building Financial Models with Microsoft Excel: A Guide for Business Professionals (Wiley FinanceProctor, K. Scott
2019Building Chatbots with Python: Using Natural Language Processing and Machine LearningRaj, Sumit
2017Blockchain For DummiesLaurence, Tiana
2017Serious Cryptography A Practical Introduction to Modern EncryptionPhilippe Aumasson, Jean-
Collection's Items (Sorted by Submit Date in Descending order): 5001 to 5020 of 5071