Pages : | 176 |
Size : | |
File type : | HTML |
Downloads: | 297 |
Created: | 2021-05-15 |
License: | Free |
Author(s): | Agner Fog |
Download Haskell PDF Tutorial for free, it consisting of 24 chapters and 683 pages covering all the most important Haskell concepts. This tutorial is intended for beginner programmers, and we recommend you to go through all the chapters, to get the most out of it as possible....
Deep Learning with JavaScriptDownload free course Deep Learning with JavaScript, pdf file on 560 pages by Shanqing Cai, Stanley Bileschi, Eric D. Nielsen, Francois Chollet....
AlgorithmsAlgorithms are the lifeblood of computer science. They are the machines that proofs build ..., download free Algorithms tutorial in PDF (472 pages) created by Jeff Erickson ....
Python Data Science Handbook: Essential Tools for Working with DataFor many researchers, Python is a first-class tool mainly because of its libraries for storing, manipulating, and gaining insight from data. Several resources exist for individual pieces of this data science stack, but only with the Python Data Science Handbook do you get them all - IPython, NumPy, ...
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Introduction to Scientific Programming with PythonThis book offers an initial introduction to programming for scientific and computational applications using the Python programming language. The presentation style is compact and example-based, making it suitable for students and researchers with little or no prior experience in programming....
OpenCOBOL Guide for programmersThis PDF tutorial describes the syntax and usage of the COBOL programming language as implemented by the current version of OpenCOBOL ,it's a free training document under 259 pages designated to intermediate users level....
Become an Xcoder: Start Programming the Mac Using Objective-C...
Neural Networks and Deep LearningNeural Networks and Deep Learning currently provide the best solutions to many problems in image recognition, speech recognition, and natural language processing. This book will teach you the core concepts behind neural networks and deep learning. ...