Introduction To Python For Engineers And Scientists
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Introduction To Python For Engineers And Scientists
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Author : Sandeep Nagar
language : en
Publisher: Apress
Release Date : 2017-12-06
Introduction To Python For Engineers And Scientists written by Sandeep Nagar and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-12-06 with Computers categories.
Familiarize yourself with the basics of Python for engineering and scientific computations using this concise, practical tutorial that is focused on writing code to learn concepts. Introduction to Python is useful for industry engineers, researchers, and students who are looking for open-source solutions for numerical computation. In this book you will learn by doing, avoiding technical jargon, which makes the concepts easy to learn. First you’ll see how to run basic calculations, absorbing technical complexities incrementally as you progress toward advanced topics. Throughout, the language is kept simple to ensure that readers at all levels can grasp the concepts. What You'll Learn Understand the fundamentals of the Python programming language Apply Python to numerical computational programming projects in engineering and science Discover the Pythonic way of life Applydata types, operators, and arrays Carry out plotting for visualization Work with functions and loops Who This Book Is For Engineers, scientists, researchers, and students who are new to Python. Some prior programming experience would be helpful but not required.
An Introduction To Python Programming For Scientists And Engineers
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Author : Johnny Wei-Bing Lin
language : en
Publisher: Cambridge University Press
Release Date : 2022-07-07
An Introduction To Python Programming For Scientists And Engineers written by Johnny Wei-Bing Lin and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-07-07 with Computers categories.
Textbook that uses examples and Jupyter notebooks from across the sciences and engineering to teach Python programming.
Introduction To Python For Science And Engineering
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Author : David J. Pine
language : en
Publisher: CRC Press
Release Date : 2019-03-15
Introduction To Python For Science And Engineering written by David J. Pine and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-03-15 with Computers categories.
Series in Computational Physics Steven A. Gottlieb and Rubin H. Landau, Series Editors Introduction to Python for Science and Engineering This guide offers a quick and incisive introduction to Python programming for anyone. The author has carefully developed a concise approach to using Python in any discipline of science and engineering, with plenty of examples, practical hints, and insider tips. Readers will see why Python is such a widely appealing program, and learn the basics of syntax, data structures, input and output, plotting, conditionals and loops, user-defined functions, curve fitting, numerical routines, animation, and visualization. The author teaches by example and assumes no programming background for the reader. David J. Pine is the Silver Professor and Professor of Physics at New York University, and Chair of the Department of Chemical and Biomolecular Engineering at the NYU Tandon School of Engineering. He is an elected fellow of the American Physical Society and American Association for the Advancement of Science (AAAS), and is a Guggenheim Fellow.
Python And Matplotlib Essentials For Scientists And Engineers
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Author : Matt A Wood
language : en
Publisher: Morgan & Claypool Publishers
Release Date : 2015-06-01
Python And Matplotlib Essentials For Scientists And Engineers written by Matt A Wood and has been published by Morgan & Claypool Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-06-01 with Computers categories.
This book provides an introduction to the core features of the Python programming language and Matplotlib plotting routings for scientists and engineers (or students of either discipline) who want to use PythonTM to analyse data, simulate physical processes, and render publication-quality plots. No previous programming experience is needed before reading the first page. Readers will learn the core features of the Python programming language in under a day. They will be able to immediately use Python to implement codes that solve their own problems and make beautiful plots and animations. Python code is extremely fast to prototype, allowing users to achieve results quickly and accurately. The examples within the book are available for download at http://pythonessentials.com. Python and Matplotlib Essentials for Scientists and Engineers is accessible for motivated high-school students, but will likely be most useful for undergraduate and graduate students as well as working professionals who have some background with the basic mathematical concepts. This book is intended for technical people who want to get things done.
Python For Engineers And Scientists
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Author : Rakesh Nayak
language : en
Publisher: CRC Press
Release Date : 2022-12-19
Python For Engineers And Scientists written by Rakesh Nayak and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-12-19 with Computers categories.
The text focuses on the basics of Python programming fundamentals and introduction to present-day applications in technology and the upcoming state-of-art trends in a comprehensive manner. The text is based on Python 3.x and it covers the fundamentals of Python with object-oriented concepts having numerous worked-out examples. It provides a learning tool for the students of beginner level as well as for researchers of advanced level. Each chapter contains additional examples that explain the usage of methods/functions discussed in the chapter. It provides numerous programming examples along with their outputs. The book: Includes programming tips to highlight the important concepts and help readers avoid common programming errors Provides programming examples along with their outputs to ensure the correctness and help readers in mastering the art of writing efficient Python programs Contains MCQs with their answers; conceptual questions and programming questions; and solutions to some selected programming questions, for every chapter Discusses applications like time zone converter and password generators at the end Covers fundamental of Python up to object oriented concepts including regular expression The book offers a simple and lucid treatment of concepts supported with illustrations for easy understanding, provides numerous programming examples along with their outputs, and includes programming tips to highlight the important concepts. It will be a valuable resource for senior undergraduate, graduate students, and professionals in the fields of electrical engineering, electronics and communication engineering, and computer engineering.
Generative Ai An Overview
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Author :
language : en
Publisher: Editor IJSMI
Release Date : 2025-06-19
Generative Ai An Overview written by and has been published by Editor IJSMI this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-19 with Computers categories.
Generative Artificial Intelligence, an Artificial Intelligence concept which is used to create own data which includes creating text, audio, video, images, programming codes and also advanced data structures such as protein structures. Before the Generative AI, Artificial Intelligence models used Machine learning models to predict pattern and structures. Generative AI models are widely being used in Business, healthcare, education and media sectors. Generative AI helps organizations to be more innovative, cost effective and efficient in their operations. Machine learning, Deep Learning, Large Language Models, transformers forms the basis for creating own data in Generative AI environment. Generative AI or Gen AI uses large data set to frame set of rules which is used in creating of new content. ChatGPT and Microsoft Copilot are one of the examples of the Generative AI tools which helps user to create texts and develop answers to users questions. Both proprietary as well as open source Generative aI models are available now. Large Language Models or foundation models which are training large datasets forms the basis of creating contents in Generative AI. These models do not need to be trained and their trained on their own and this is the major difference between supervised Machine learning models which require labeling for classifying the data. Generative AI model building starts with the data collection and processing of large datasets, then moving to model building, training and pattern learning from those large datasets and then finally rendering and validating different created the different types of contents such as text, audio, video and images. The book also provides overview of Python programming for the readers who are first time learners of Python programming. The contents are adopted from Author’s book on Python programming for Data Scientists
Problem Solving And Python Programming
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Author : Dr. Jagdish Makhijani
language : en
Publisher: RK Publication
Release Date : 2024-06-28
Problem Solving And Python Programming written by Dr. Jagdish Makhijani and has been published by RK Publication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-06-28 with Computers categories.
Problem Solving and Python Programming is a comprehensive guide designed to equip readers with essential problem-solving skills using the Python programming language. This foundational concepts in programming and emphasizes practical problem-solving techniques, making it ideal for beginners and intermediate learners. Through clear explanations, examples, and hands-on exercises, readers will learn to approach complex problems, break them down into manageable steps, and implement solutions in Python. Whether for academic use or personal learning, this fosters both computational thinking and proficiency in Python.
Introduction To Python
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Author : Sandeep Nagar
language : en
Publisher:
Release Date : 2016-12-15
Introduction To Python written by Sandeep Nagar and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-12-15 with categories.
Python is an all-in-one solution for scientific needs. Its popularity can be judged from the fact that it is now world's most preferred language for coding purposes. The book introduces basic python for the purpose of scientific computation. The book is useful for students, researchers and students who are looking for a open source software for numerical computation. Its designed with minimalistic design which makes a compact source of learning for new learners to start developing quickly. CHAPTERS: 1- Introduction to pythonic way of life, 2- Introduction to basics of python, 3 - Data types, 4- Operators, 5- Arrays, 6- Plotting, 7- File I/O, 8- Functions and Loops, 9- Object oriented programming, 10- Numerical computing formalism
A Primer On Scientific Programming With Python
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Author : Hans Petter Langtangen
language : en
Publisher: Springer
Release Date : 2014-08-01
A Primer On Scientific Programming With Python written by Hans Petter Langtangen and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-08-01 with Computers categories.
The book serves as a first introduction to computer programming of scientific applications, using the high-level Python language. The exposition is example and problem-oriented, where the applications are taken from mathematics, numerical calculus, statistics, physics, biology and finance. The book teaches "Matlab-style" and procedural programming as well as object-oriented programming. High school mathematics is a required background and it is advantageous to study classical and numerical one-variable calculus in parallel with reading this book. Besides learning how to program computers, the reader will also learn how to solve mathematical problems, arising in various branches of science and engineering, with the aid of numerical methods and programming. By blending programming, mathematics and scientific applications, the book lays a solid foundation for practicing computational science. From the reviews: Langtangen ... does an excellent job of introducing programming as a set of skills in problem solving. He guides the reader into thinking properly about producing program logic and data structures for modeling real-world problems using objects and functions and embracing the object-oriented paradigm. ... Summing Up: Highly recommended. F. H. Wild III, Choice, Vol. 47 (8), April 2010 Those of us who have learned scientific programming in Python ‘on the streets’ could be a little jealous of students who have the opportunity to take a course out of Langtangen’s Primer.” John D. Cook, The Mathematical Association of America, September 2011 This book goes through Python in particular, and programming in general, via tasks that scientists will likely perform. It contains valuable information for students new to scientific computing and would be the perfect bridge between an introduction to programming and an advanced course on numerical methods or computational science. Alex Small, IEEE, CiSE Vol. 14 (2), March /April 2012
Deep Learning Models And Its Application An Overview With The Help Of R Software Second In Series Machine Learning
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Author : Editor IJSMI
language : en
Publisher: International Journal of Statistics and Medical Informatics
Release Date : 2019-02-09
Deep Learning Models And Its Application An Overview With The Help Of R Software Second In Series Machine Learning written by Editor IJSMI and has been published by International Journal of Statistics and Medical Informatics this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-02-09 with Computers categories.
Deep Learning Models and its application: An overview with the help of R softwarePrefaceDeep learning models are widely used in different fields due to its capability to handle large and complex datasets and produce the desired results with more accuracy at a greater speed. In Deep learning models, features are selected automatically through the iterative process wherein the model learns the features by going deep into the dataset and selects the features to be modeled. In the traditional models the features of the dataset needs to be specified in advance. The Deep Learning algorithms are derived from Artificial Neural Network concepts and it is a part of broader Machine Learning Models. This book intends to provide an overview of Deep Learning models, its application in the areas of image recognition & classification, sentiment analysis, natural language processing, stock market prediction using R statistical software package, an open source software package. The book also includes an introduction to python software package which is also open source software for the benefit of the users.This books is a second book in series after the author’s first book- Machine Learning: An Overview with the Help of R Software https://www.amazon.com/dp/B07KQSN447EditorInternational Journal of Statistics and Medical Informaticswww.ijsmi.com/book.php