A Primer on Scientific Programming with Python

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Publisher : Springer
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ISBN 10 : 9783662498873
Pages : 922 pages
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Rating : 4.9/5 (498 users download)


Download A Primer on Scientific Programming with Python by Hans Petter Langtangen PDF/Ebook Free clicking on the below button will initiate the downloading process of A Primer on Scientific Programming with Python by Hans Petter Langtangen. This book is available in ePub and PDF format with a single click unlimited downloads. 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 “This fourth edition is a wonderful, inclusive textbook that covers pretty much everything one needs to know to go from zero to fairly sophisticated scientific programming in Python...” Joan Horvath, Computing Reviews, March 2015


Elements of Scientific Computing

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Publisher : Springer Science & Business Media
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ISBN 10 : 9783642112980
Pages : 468 pages
File Format : PDF, EPUB, TEXT, KINDLE or MOBI
Rating : 4.1/5 (112 users download)


Download Elements of Scientific Computing by Aslak Tveito PDF/Ebook Free clicking on the below button will initiate the downloading process of Elements of Scientific Computing by Aslak Tveito. This book is available in ePub and PDF format with a single click unlimited downloads. Science used to be experiments and theory, now it is experiments, theory and computations. The computational approach to understanding nature and technology is currently flowering in many fields such as physics, geophysics, astrophysics, chemistry, biology, and most engineering disciplines. This book is a gentle introduction to such computational methods where the techniques are explained through examples. It is our goal to teach principles and ideas that carry over from field to field. You will learn basic methods and how to implement them. In order to gain the most from this text, you will need prior knowledge of calculus, basic linear algebra and elementary programming.


Programming for Computations - Python

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Publisher : Springer
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ISBN 10 : 9783319324289
Pages : 232 pages
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Rating : 4.2/5 (324 users download)


Download Programming for Computations - Python by Svein Linge PDF/Ebook Free clicking on the below button will initiate the downloading process of Programming for Computations - Python by Svein Linge. This book is available in ePub and PDF format with a single click unlimited downloads. 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.


Introduction to Scientific Programming with Python

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Publisher :
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ISBN 10 : 9783030503567
Pages : 157 pages
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Rating : 4.0/5 (53 users download)


Download Introduction to Scientific Programming with Python by Joakim Sundnes PDF/Ebook Free clicking on the below button will initiate the downloading process of Introduction to Scientific Programming with Python by Joakim Sundnes. This book is available in ePub and PDF format with a single click unlimited downloads. This open access 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. The book uses relevant examples from mathematics and the natural sciences to present programming as a practical toolbox that can quickly enable readers to write their own programs for data processing and mathematical modeling. These tools include file reading, plotting, simple text analysis, and using NumPy for numerical computations, which are fundamental building blocks of all programs in data science and computational science. At the same time, readers are introduced to the fundamental concepts of programming, including variables, functions, loops, classes, and object-oriented programming. Accordingly, the book provides a sound basis for further computer science and programming studies.


Programming for Computations - Python

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Publisher : Springer Nature
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ISBN 10 : 9783030168773
Pages : 332 pages
File Format : PDF, EPUB, TEXT, KINDLE or MOBI
Rating : 4.6/5 (168 users download)


Download Programming for Computations - Python by Svein Linge PDF/Ebook Free clicking on the below button will initiate the downloading process of Programming for Computations - Python by Svein Linge. This book is available in ePub and PDF format with a single click unlimited downloads. 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.


Finite Difference Computing with Exponential Decay Models

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Publisher : Springer
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ISBN 10 : 9783319294391
Pages : 200 pages
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Rating : 4.9/5 (294 users download)


Download Finite Difference Computing with Exponential Decay Models by Hans Petter Langtangen PDF/Ebook Free clicking on the below button will initiate the downloading process of Finite Difference Computing with Exponential Decay Models by Hans Petter Langtangen. This book is available in ePub and PDF format with a single click unlimited downloads. This text provides a very simple, initial introduction to the complete scientific computing pipeline: models, discretization, algorithms, programming, verification, and visualization. The pedagogical strategy is to use one case study – an ordinary differential equation describing exponential decay processes – to illustrate fundamental concepts in mathematics and computer science. The book is easy to read and only requires a command of one-variable calculus and some very basic knowledge about computer programming. Contrary to similar texts on numerical methods and programming, this text has a much stronger focus on implementation and teaches testing and software engineering in particular.


Programming for Computations - MATLAB/Octave

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Publisher : Springer
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ISBN 10 : 9783319324524
Pages : 216 pages
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Rating : 4.2/5 (324 users download)


Download Programming for Computations - MATLAB/Octave by Svein Linge PDF/Ebook Free clicking on the below button will initiate the downloading process of Programming for Computations - MATLAB/Octave by Svein Linge. This book is available in ePub and PDF format with a single click unlimited downloads. 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.


Python Programming

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Publisher : CRC Press
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ISBN 10 : 9781000434415
Pages : 344 pages
File Format : PDF, EPUB, TEXT, KINDLE or MOBI
Rating : 4.3/5 (434 users download)


Download Python Programming by Vijay Kumar Sharma PDF/Ebook Free clicking on the below button will initiate the downloading process of Python Programming by Vijay Kumar Sharma. This book is available in ePub and PDF format with a single click unlimited downloads. Maintaining a practical perspective, Python Programming: A Practical Approach acquaints you with the wonderful world of programming. The book is a starting point for those who want to learn Python programming. The backbone of any programming, which is the data structure and components such as strings, lists, etc., have been illustrated with many examples and enough practice problems to instill a level of self-confidence in the reader. Drawing on knowledge gained directly from teaching Computer Science as a subject and working on a wide range of projects related to ML, AI, deep learning, and blockchain, the authors have tried their best to present the necessary skills for a Python programmer. Once the foundation of Python programming is built and the readers are aware of the exact structure, dimensions, processing, building blocks, and representation of data, they can readily take up their specific problems from the area of interest and solve them with the help of Python. These include, but are not limited to, operators, control flow, strings, functions, module processing, object-oriented programming, exception and file handling, multithreading, synchronization, regular expressions, and Python database programming. This book on Python programming is specially designed to keep readers busy with learning fundamentals and generates a sense of confidence by attempting the assignment problems. We firmly believe that explaining any particular technology deviates from learning the fundamentals of a programming language. This book is focused on helping readers attempt implementation in their areas of interest through the skills imparted through this book. We have attempted to present the real essence of Python programming, which you can confidently apply in real life by using Python as a tool. Salient Features  Based on real-world requirements and solution.  Simple presentation without avoiding necessary details of the topic.  Executable programs on almost every topic.  Plenty of exercise questions, designed to test readers’ skills and understanding. Purposefully designed to be instantly applicable, Python Programming: A Practical Approach provides implementation examples so that the described subject matter can be immediately implemented due to the well-known versatility of Python in handling different data types with ease.


Scientific Database and Programming Examples Using PHP,MySQL,XML,MATLAB,PYTHON,PERL

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Publisher : Xlibris Corporation
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ISBN 10 : 9781465364456
Pages : 306 pages
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Rating : 4.6/5 (364 users download)


Download Scientific Database and Programming Examples Using PHP,MySQL,XML,MATLAB,PYTHON,PERL by K.Y. Cheung PDF/Ebook Free clicking on the below button will initiate the downloading process of Scientific Database and Programming Examples Using PHP,MySQL,XML,MATLAB,PYTHON,PERL by K.Y. Cheung. This book is available in ePub and PDF format with a single click unlimited downloads. This book deals with, but is not limited to, the following: (1) A collection of typical computer programs written in Python and Matlab for scientific computations and their comparisons; (2) Interfaces of Php, Python, Perl with Matlab and vice versa; (3) Use of MySQL tables and XML for storing and transmitting scientific and economic data in scientific programming with Matlab, Python and Perl; (4) Converting from XML to MySQL tables and vice versa using Php; (5) Creating XML and MySQL tables and retrieving data from them for inputting to Matlab and to Python, using Php. It is assumed that the reader has had some knowledge of Php, Matlab, Python, Perl, MySQL and XML. As this book is written with Matlab programmers in mind, the following books are highly recommended for understanding the details of computer programs in this book: (1) Julie C. Meloni, PHP, MySQL and Apache,All in One, 4th ed. (2) Hans Petter Langstangen, A Primer on Scientific Programming with Python. (3) Robin Nixon, PHP, MySQL & JavaScript. K.Y. CHEUNG


Programming: A Primer

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Publisher : World Scientific Publishing Company
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ISBN 10 : 9781783267095
Pages : 188 pages
File Format : PDF, EPUB, TEXT, KINDLE or MOBI
Rating : 4.6/5 (267 users download)


Download Programming: A Primer by Tom Bell PDF/Ebook Free clicking on the below button will initiate the downloading process of Programming: A Primer by Tom Bell. This book is available in ePub and PDF format with a single click unlimited downloads. Have you ever wanted to learn how to program but never found quite the right book to get you started? Programming: A Primer gets you going straight away with the fundamentals of what programming is, basic programming with Python and the fundamental aspects of practical web development. In this book, you'll learn about: What programming is and how it can benefit you.Variables and operations as the building blocks of a program.If statements, For loops and Methods in Python.Classes, Objects and Inheritance in Python.Web development using HTML, CSS, JavaScript, PHP and SQL.A basic introduction to some of the most important algorithms in programming.The programming languages and frameworks that are available to developers.The future of technology and opportunities for developers and entrepreneurs.Where you can take programming further to learn and create more amazing applications. Programming: A Primer offers an easy way into coding for anyone with an interest in using technology to solve problems, whether a school or new undergraduate computer science student or a working professional. It gives everyone, regardless of background, the ideal foundations and motivation needed to get to grips with programming. A companion website can be found here: http://www.codingforbeginners.co.uk/.


A Primer for Computational Biology

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ISBN 10 : 0870719262
Pages : 545 pages
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Rating : 4.7/5 (87 users download)


Download A Primer for Computational Biology by Shawn T. O'Neil PDF/Ebook Free clicking on the below button will initiate the downloading process of A Primer for Computational Biology by Shawn T. O'Neil. This book is available in ePub and PDF format with a single click unlimited downloads. A Primer for Computational Biology aims to provide life scientists and students the skills necessary for research in a data-rich world. The text covers accessing and using remote servers via the command-line, writing programs and pipelines for data analysis, and provides useful vocabulary for interdisciplinary work. The book is broken into three parts: Introduction to Unix/Linux: The command-line is the "natural environment" of scientific computing, and this part covers a wide range of topics, including logging in, working with files and directories, installing programs and writing scripts, and the powerful "pipe" operator for file and data manipulation. Programming in Python: Python is both a premier language for learning and a common choice in scientific software development. This part covers the basic concepts in programming (data types, if-statements and loops, functions) via examples of DNA-sequence analysis. This part also covers more complex subjects in software development such as objects and classes, modules, and APIs. Programming in R: The R language specializes in statistical data analysis, and is also quite useful for visualizing large datasets. This third part covers the basics of R as a programming language (data types, if-statements, functions, loops and when to use them) as well as techniques for large-scale, multi-test analyses. Other topics include S3 classes and data visualization with ggplot2.


A Student's Guide to Python for Physical Modeling: Second Edition

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Publisher : Princeton University Press
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ISBN 10 : 9780691223667
Pages : 240 pages
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Rating : 4.2/5 (223 users download)


Download A Student's Guide to Python for Physical Modeling: Second Edition by Jesse M. Kinder PDF/Ebook Free clicking on the below button will initiate the downloading process of A Student's Guide to Python for Physical Modeling: Second Edition by Jesse M. Kinder. This book is available in ePub and PDF format with a single click unlimited downloads. A fully updated tutorial on the basics of the Python programming language for science students Python is a computer programming language that has gained popularity throughout the sciences. This fully updated second edition of A Student's Guide to Python for Physical Modeling aims to help you, the student, teach yourself enough of the Python programming language to get started with physical modeling. You will learn how to install an open-source Python programming environment and use it to accomplish many common scientific computing tasks: importing, exporting, and visualizing data; numerical analysis; and simulation. No prior programming experience is assumed. This guide introduces a wide range of useful tools, including: Basic Python programming and scripting Numerical arrays Two- and three-dimensional graphics Animation Monte Carlo simulations Numerical methods, including solving ordinary differential equations Image processing Numerous code samples and exercises—with solutions—illustrate new ideas as they are introduced. This guide also includes supplemental online resources: code samples, data sets, tutorials, and more. This edition includes new material on symbolic calculations with SymPy, an introduction to Python libraries for data science and machine learning (pandas and sklearn), and a primer on Python classes and object-oriented programming. A new appendix also introduces command line tools and version control with Git.


Neural Data Science

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Publisher : Academic Press
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ISBN 10 : 0128040432
Pages : 250 pages
File Format : PDF, EPUB, TEXT, KINDLE or MOBI
Rating : 4.2/5 (128 users download)


Download Neural Data Science by Erik Lee Nylen PDF/Ebook Free clicking on the below button will initiate the downloading process of Neural Data Science by Erik Lee Nylen. This book is available in ePub and PDF format with a single click unlimited downloads. MATLAB remains the dominant language for scientific computing and analysis in neuroscience, but a more general purpose option - Python - is emerging. This book addresses the snake in the room by providing a beginner s introduction to the principles of computation and data analysis in neuroscience using both Python and MATLAB, which allows to transcend platform tribalism and enables coding versatility. Utilizing a Rosetta stone approach, including both MATLAB and Python in parallel Introducing the canonical data analysis cascade, standardizing the data analysis flow Introducing Comment pointers, which improve the readability of code Introducing data marning Introducing levels of coding principles, which improves the organize of code strategically, tactically and algorithmically Implementing a deeply philosophical framework of 0 to 1 teaching "


The British National Bibliography

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ISBN 10 : STANFORD:36105211722678
Pages : pages
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Rating : 4./5 ( users download)


Download The British National Bibliography by Arthur James Wells PDF/Ebook Free clicking on the below button will initiate the downloading process of The British National Bibliography by Arthur James Wells. This book is available in ePub and PDF format with a single click unlimited downloads.


Neural Data Science

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Publisher : Academic Press
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ISBN 10 : 9780128040980
Pages : 368 pages
File Format : PDF, EPUB, TEXT, KINDLE or MOBI
Rating : 4.4/5 (4 users download)


Download Neural Data Science by Erik Lee Nylen PDF/Ebook Free clicking on the below button will initiate the downloading process of Neural Data Science by Erik Lee Nylen. This book is available in ePub and PDF format with a single click unlimited downloads. A Primer with MATLAB® and PythonTM present important information on the emergence of the use of Python, a more general purpose option to MATLAB, the preferred computation language for scientific computing and analysis in neuroscience. This book addresses the snake in the room by providing a beginner’s introduction to the principles of computation and data analysis in neuroscience, using both Python and MATLAB, giving readers the ability to transcend platform tribalism and enable coding versatility. Includes discussions of both MATLAB and Python in parallel Introduces the canonical data analysis cascade, standardizing the data analysis flow Presents tactics that strategically, tactically, and algorithmically help improve the organization of code


Data Science

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Publisher : Apress
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ISBN 10 : 1430261188
Pages : 300 pages
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Rating : 4.3/5 (43 users download)


Download Data Science by Sandya Mannarswamy PDF/Ebook Free clicking on the below button will initiate the downloading process of Data Science by Sandya Mannarswamy. This book is available in ePub and PDF format with a single click unlimited downloads. Data science requires a versatile skill-set primarily for processing very large data sets including ‘big data’ consisting of structured, unstructured or semi-structured data that large enterprises produce. It incorporates varying elements and builds on techniques and theories from many fields, including mathematics, statistics, data engineering, pattern recognition and learning, advanced computing, visualization, uncertainty modeling, data warehousing, and high performance computing with the goal of extracting meaning from data and creating data products. Data Science offers an overview of the technologies needed in order to understand the mechanics of data science. At present there is no single book which describes how these technologies mesh together to provide techniques and tools needed in this area. This book provides a look at the requisite mathematical background to understand data science, including probability distributions, Bayes' rule, random processes, Markov models, linear and logistic regression. It introduces programming skills commonly used for data science, including a quick introduction to R, PANDAS (Python data mining), NLTK (Python natural language tool kit) and scikit. It also provides a quick tour of the key concepts of information retrieval, machine learning, data mining, text analytics, artificial intelligence and predictive analytics in the context of data science and connects the theory to practical data science problems involving these disciplines. Armed with both the theoretical concepts and practical programming knowledge needed for data science, it effectively starts you off the on the “data science-what, where, and how” journey with pointers to data science resources, courses, certifications, and applications. As a primer on an interdisciplinary subject, 'Data Science' draws scientific inquiry from a broad range of academic subject areas as well, and guides you into areas of research such as: Cloud computing Databases and information integration Learning, natural language processing and information extraction Computer vision Information retrieval and web information access Knowledge discovery in social and information networks Data science security What you’ll learn Data science overview and its importance in the era of big data Data preparation, processing Modeling and presentation Basic concepts of information retrieval, machine learning, data mining, text analytics and BI Tools/open source software for data science with programming exercises R programming Pandas, scikit Python programming for solving data science problems Octave software package usage for machine learning exercises Natural language processing tool-kit (NLTK) Python package usage and programming Example case-studies of data science problems and how they were solved using programming Who this book is for Professional programmers Software analysts and solution architects Researchers in the sciences and computer science


Solve It with PYTHON !

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ISBN 10 : 1689604107
Pages : 199 pages
File Format : PDF, EPUB, TEXT, KINDLE or MOBI
Rating : 4.8/5 (689 users download)


Download Solve It with PYTHON ! by Javier Riverola Gurruchaga PDF/Ebook Free clicking on the below button will initiate the downloading process of Solve It with PYTHON ! by Javier Riverola Gurruchaga. This book is available in ePub and PDF format with a single click unlimited downloads. Python is a useful, modern programming language popular among students and professionals in science and engineering. But is it a world reserved for experts in mathematics and computer programming? Not at all. Solve it with Python! brings you into scientific calculus in an imaginative way, with simple and comprehensive scripts, examples that you can use to solve problems directly, or adapt to more complex combined analyses. Chapters deal with the topics independently, without tedious and meticulous explanations. Exercises are also proposed to test your knowledge of the methods. In addition, an appendix includes a syntax reminder and a short tutorial to get you started in the language. By reviewing essential concepts of statistics, classical mathematics, modern data science and machine learning, as well as systems control theory, this useful guide invites you to enjoy and solve your STEM challenges. Chapters are: Solving Equations Engaging with Numbers and Functions Integration Differential Equations Data Science Control Methods Python Primer Packages Contents Some Files for You! Solve it with Python! is published in Amazon KDP.


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