A Gentle Introduction To Python
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A Gentle Introduction To Python
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Author : Laura De Miguel
language : en
Publisher:
Release Date : 2020
A Gentle Introduction To Python written by Laura De Miguel and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020 with categories.
Taming Python
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Author : Patty Belle
language : en
Publisher: Createspace Independent Publishing Platform
Release Date : 2018-05-24
Taming Python written by Patty Belle and has been published by Createspace Independent Publishing Platform this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-05-24 with categories.
Are you completely new to programming? If not, then we presume you are looking for information about why and how to get started with Python. Fortunately, an experienced programmer in any programming language (whatever it may be) can pick up Python very quickly. It's also easy for beginners to use and learn, so jump in and tame Python!
Programming For Computations Python
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Author : Svein Linge
language : en
Publisher: Springer
Release Date : 2016-07-25
Programming For Computations Python written by Svein Linge and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-07-25 with Computers categories.
This book presents computer programming as a key method for solving mathematical problems. There are two versions of the book, one for MATLAB and one for Python. The book was inspired by the Springer book TCSE 6: A Primer on Scientific Programming with Python (by Langtangen), but the style is more accessible and concise, in keeping with the needs of engineering students. The book outlines the shortest possible path from no previous experience with programming to a set of skills that allows the students to write simple programs for solving common mathematical problems with numerical methods in engineering and science courses. The emphasis is on generic algorithms, clean design of programs, use of functions, and automatic tests for verification.
Monty Karel
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Author : Joseph Bergin
language : en
Publisher:
Release Date : 2013-04-11
Monty Karel written by Joseph Bergin and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-04-11 with Python (Computer program language) categories.
"Monty Karel" is an introduction to computer programming for novices. It uses the Python programming language to introduce the principles of dynamic object-oriented programming. It is the latest version in the "Karel The Robot" series, originally developed by Richard Pattis. It is a true successor to the original, emphasizing problem solving in a simple but "Turing Complete" and interesting virtual world. "Monty Karel" stresses problem solving rather than language syntax. It has been shown to be an effective learning environment for novice programmers. A student able to do the exercises in this book, or one of its companions, is truly on his or her way to a deep understanding of programming. Learn to write sophisticated Python code in a few weeks. It is not a comprehensive treatment of Python, but emphasizes problem solving using objects, writing classes, and developing skill in algorithmic and polymorphic thinking. It goes beyond thinking of computing as just "if" and "while." The advantages pointed out by reviewers of the earlier "Karel J Robot" apply to this version as well: "Karel J Robot" is an excellent introduction to modern computer science, without letting students get overwhelmed by the details of a programming language (even though it is real Java). KJR provides a framework for understanding Object-Oriented Programming from the very beginning. Students are encouraged to develop problem-solving skills by producing projects that solve very complex problems with a relatively small set of tools. Don Slater, Carnegie-Mellon University I have been successfully introducing students in grades 9 through 12 to programming using Karel for the past twenty years and "Karel J Robot" is the most effective version yet. Students love it They find principles of OOP (class design, constructors, methods, inheritance, polymorphism) come naturally to them, even before they learn about control structures. They discover recursive solutions without ever being taught recursion. Best of all, Karel is gender neutral --- both girls and boys are so involved and excited that I have to push them out the door and on to their next class when the period ends. Kathy Larson, Kingston High School, Kingston New York "Karel J Robot: A Gentle Introduction to the Art of Object-Oriented Programming in Java" takes you on a well-sequenced and thoughtful journey through the essential concepts in a first semester computer science course. Experience computer science at the level that it is most inspiring - the conceptual level. The visual environment will help you teach and your students learn because everyone will have immediate visual feedback, enabling them to see what they are doing. You will leave the Karel world with a deep understanding of polymorphism, inheritance, abstraction, modularization, and step-wise refinement, to name just a few topics. If you are an AP Computer Science teacher, you have just found the perfect guide to help ensure you do not lose sight of the forest (i.e., computer science) through the trees (i.e., the details of the language). Dave Wittry, Troy High School "Karel J Robot" provides an uncluttered setting for laying the foundation for all of the key OO concepts. The perfect "starter" for understanding objects, OO design and OO programming. Michael Goldweber, Xavier University
Programming For Computations Python
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Author : Svein Linge
language : en
Publisher: Springer Nature
Release Date : 2019-10-30
Programming For Computations Python written by Svein Linge and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-10-30 with Computers categories.
This book is published open access under a CC BY 4.0 license. This book presents computer programming as a key method for solving mathematical problems. This second edition of the well-received book has been extensively revised: All code is now written in Python version 3.6 (no longer version 2.7). In addition, the two first chapters of the previous edition have been extended and split up into five new chapters, thus expanding the introduction to programming from 50 to 150 pages. Throughout the book, the explanations provided are now more detailed, previous examples have been modified, and new sections, examples and exercises have been added. Also, a number of small errors have been corrected. The book was inspired by the Springer book TCSE 6: A Primer on Scientific Programming with Python (by Langtangen), but the style employed is more accessible and concise, in keeping with the needs of engineering students. The book outlines the shortest possible path from no previous experience with programming to a set of skills that allows students to write simple programs for solving common mathematical problems with numerical methods in the context of engineering and science courses. The emphasis is on generic algorithms, clean program design, the use of functions, and automatic tests for verification.
Python For The Life Sciences
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Author : Alexander Lancaster
language : en
Publisher: Apress
Release Date : 2019-09-27
Python For The Life Sciences written by Alexander Lancaster and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-09-27 with Computers categories.
Treat yourself to a lively, intuitive, and easy-to-follow introduction to computer programming in Python. The book was written specifically for biologists with little or no prior experience of writing code - with the goal of giving them not only a foundation in Python programming, but also the confidence and inspiration to start using Python in their own research. Virtually all of the examples in the book are drawn from across a wide spectrum of life science research, from simple biochemical calculations and sequence analysis, to modeling the dynamic interactions of genes and proteins in cells, or the drift of genes in an evolving population. Best of all, Python for the Life Sciences shows you how to implement all of these projects in Python, one of the most popular programming languages for scientific computing. If you are a life scientist interested in learning Python to jump-start your research, this is the book for you. What You'll Learn Write Python scripts to automate your lab calculations Search for important motifs in genome sequences Use object-oriented programming with Python Study mining interaction network data for patterns Review dynamic modeling of biochemical switches Who This Book Is For Life scientists with little or no programming experience, including undergraduate and graduate students, postdoctoral researchers in academia and industry, medical professionals, and teachers/lecturers. “A comprehensive introduction to using Python for computational biology... A lovely book with humor and perspective” -- John Novembre, Associate Professor of Human Genetics, University of Chicago and MacArthur Fellow “Fun, entertaining, witty and darn useful. A magical portal to the big data revolution” -- Sandro Santagata, Assistant Professor in Pathology, Harvard Medical School “Alex and Gordon’s enthusiasm for Python is contagious” -- Glenys Thomson Professor of Integrative Biology, University of California, Berkeley
Python For The Life Sciences
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Author : Alex Lancaster
language : en
Publisher:
Release Date : 2016
Python For The Life Sciences written by Alex Lancaster and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016 with Computer programming categories.
Deep Learning Step By Step With Python
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Author : N. Lewis
language : en
Publisher:
Release Date : 2016-07-26
Deep Learning Step By Step With Python written by N. Lewis and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-07-26 with categories.
Finally! Deep Neural Networks Simplified with Python Deep Learning Step by Step with Python takes you on a gentle, fun and unhurried journey to building your own deep neural network models in Python. Using plain English, it offers an intuitive, practical, non-mathematical, easy to follow guide to the most successful ideas, outstanding techniques and usable solutions available to the data scientist for deep neural networks using Python. NO EXPERIENCE REQUIRED This book is designed to be accessible - I'm assuming you never did like linear algebra, don't want to see things derived, dislike complicated computer code, and you're here because you want to see deep neural networks explained in plain English, and try them out for yourself. It is so straightforward and easy to follow even your ten year old nephew (who dislikes math) can understand it! THIS BOOK IS FOR YOU IF YOU WANT: Explanations rather than mathematical derivation Real world applications that make sense. Illustrations to deepen your understanding. Worked examples in Python you can easily follow and immediately implement. Ideas you can actually use and try on your own data. QUICK AND EASY: Bestselling Data Scientist Dr. N.D Lewis shows you the shortcut up the steep steps to the very top. It's easier than you think. Through a simple to follow process you will learn how to build deep neural network models with Python. Once you have mastered the process, it will be easy for you to translate your knowledge into your own powerful data science applications. YOU'LL LEARN HOW TO: Unleash the power of Deep Neural Networks for effective forecasting. Develop hands on solutions for binary classification. Design successful applications for multi-class problems. Master techniques for efficient model construction. Fine tune deep networks to boost, accelerate, and transform predictive performance. Build Deep Learning Models Faster! Everything you need to get started is contained within this book. Deep Learning Step by Step with Python is your very own hands on practical, tactical, easy to follow guide to mastery Buy this book today your next big breakthrough using deep neural networks is only a page away!
Deep Learning With Python
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Author : Valerio Mannucci
language : en
Publisher:
Release Date : 2020-10-25
Deep Learning With Python written by Valerio Mannucci and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-10-25 with categories.
The aim of the notes is to give a solid basis in python language applied to data science and Artificial intelligence. In the end, you should be able to program deep architectures using methods recently raised from the AI community and to understand the majority of the scientific articles discussing those themes.In the first part, you will find everyday commands to handle with simple tasks like printing graphs, use vectors or deal with built-in python's type.In the second part, starting from Fully connected networks, we will cover several topics of machine learning that go from classifications to geometric deep learning till modern tasks like Generative Adversarial Networks.Every new Section will have an introductory theoretical part followed by full im- plementation in Pytorch, where you'll see exactly how to put in practice the new knowledge earned.
Program Arcade Games
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Author : Paul Craven
language : en
Publisher: Apress
Release Date : 2015-12-31
Program Arcade Games written by Paul Craven and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-12-31 with Computers categories.
Learn and use Python and PyGame to design and build cool arcade games. In Program Arcade Games: With Python and PyGame, Second Edition, Dr. Paul Vincent Craven teaches you how to create fun and simple quiz games; integrate and start using graphics; animate graphics; integrate and use game controllers; add sound and bit-mapped graphics; and build grid-based games. After reading and using this book, you'll be able to learn to program and build simple arcade game applications using one of today's most popular programming languages, Python. You can even deploy onto Steam and other Linux-based game systems as well as Android, one of today's most popular mobile and tablet platforms. You'll learn: How to create quiz games How to integrate and start using graphics How to animate graphics How to integrate and use game controllers How to add sound and bit-mapped graphics How to build grid-based games Audience“div>This book assumes no prior programming knowledge.