Efficient Scientific Programming With Spyder
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Efficient Scientific Programming With Spyder
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Author : Richard Johnson
language : en
Publisher: HiTeX Press
Release Date : 2025-06-18
Efficient Scientific Programming With Spyder written by Richard Johnson and has been published by HiTeX Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-18 with Computers categories.
"Efficient Scientific Programming with Spyder" "Efficient Scientific Programming with Spyder" is a definitive guide for scientists, engineers, and researchers seeking to elevate their computational workflows using the powerful Spyder IDE. This comprehensive resource delves into advanced facets of the Spyder ecosystem, including its modular architecture, extensibility through plugins, seamless integration with the scientific Python stack, and best practices for customizing and optimizing the development environment. Readers are equipped to handle large-scale, complex scientific projects, leveraging environment management, high-performance computing, and distributed workflows directly from within Spyder. The book systematically covers all aspects of the scientific programming lifecycle using Python, from scripting patterns and automated refactoring to rigorous type checking, test-driven development, and collaborative code quality maintenance. Advanced chapters focus on numerical methods—such as efficient vectorization, parallelization, GPU computing, and native language integration—as well as efficient data management strategies for scientific formats, real-time acquisition, data privacy, and validation. Additionally, it explores cutting-edge scientific visualization, offering guidance on creating publication-quality plots, interactive dashboards, complex 3D visualizations, and custom analytical GUIs. Beyond technical mastery, the text addresses the real-world needs of modern scientific teams: from automating experiments and orchestrating robust data workflows, to integrating machine learning pipelines, and ensuring research reproducibility, collaboration, and open science practices. Through detailed case studies and explorations of future trends—including cloud, HPC, and community-driven development—this book empowers scientists to build, extend, and manage end-to-end, scalable, and reproducible research solutions with Spyder at the core of their computational toolset.
Introduction To Scientific Programming With Python
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Author : Pankaj Jayaraman
language : en
Publisher: Educohack Press
Release Date : 2025-02-20
Introduction To Scientific Programming With Python written by Pankaj Jayaraman and has been published by Educohack Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-20 with Computers categories.
"Introduction to Scientific Programming with Python" offers an immersive exploration into the dynamic field of scientific programming using Python. We cater to a diverse audience, serving as an entry point for novices and a valuable resource for seasoned practitioners in scientific computing. Python's popularity in scientific circles stems from its readability, versatility, and extensive libraries for numerical computing, data analysis, and visualization. We cover fundamental programming concepts and gradually introduce advanced techniques specific to scientific applications. From mastering Python basics to exploring advanced topics like machine learning and symbolic mathematics, each chapter provides a structured and hands-on learning experience. Real-world case studies, practical examples, and exercises ensure readers grasp theoretical concepts and gain practical skills. Throughout the book, Python becomes a tool of empowerment, enabling readers to unravel complex scientific data, model intricate phenomena, and contribute meaningfully to their fields. "Introduction to Scientific Programming with Python" is an invaluable companion for harnessing Python's potential in scientific inquiry and discovery. By the end, readers will have a robust foundation in Python and the confidence to apply scientific programming methodologies to real-world problems. This book unlocks the door to a world where Python drives exploration, discovery, and innovation in science.
A Primer On Scientific Programming With Python
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Author : Hans Petter Langtangen
language : en
Publisher: Springer
Release Date : 2016-07-28
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 2016-07-28 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 “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
Introduction To Python For Science And Engineering
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Author : David J. Pine
language : en
Publisher: CRC Press
Release Date : 2024-09-23
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 2024-09-23 with Computers categories.
Introduction to Python for Science and Engineering offers a quick and incisive introduction to the Python programming language for use in any science or engineering discipline. The approach is pedagogical and “bottom up,” which means starting with examples and extracting more general principles from that experience. No prior programming experience is assumed. Readers will learn the basics of Python syntax, data structures, input and output, conditionals and loops, user-defined functions, plotting, animation, and visualization. They will also learn how to use Python for numerical analysis, including curve fitting, random numbers, linear algebra, solutions to nonlinear equations, numerical integration, solutions to differential equations, and fast Fourier transforms. Readers learn how to interact and program with Python using JupyterLab and Spyder, two simple and widely used integrated development environments. All the major Python libraries for science and engineering are covered, including NumPy, SciPy, Matplotlib, and Pandas. Other packages are also introduced, including Numba, which can render Python numerical calculations as fast as compiled computer languages such as C but without their complex overhead.
Python 3 Fundamentals
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Author : Robert Johnson
language : en
Publisher: HiTeX Press
Release Date : 2024-10-29
Python 3 Fundamentals written by Robert Johnson and has been published by HiTeX Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-29 with Computers categories.
"Python 3 Fundamentals: A Complete Guide for Modern Programmers" is an authoritative resource designed to equip both novice and experienced developers with a thorough understanding of Python programming. Written by an expert in computer science and software engineering, this comprehensive guide navigates through essential Python topics, providing readers with a definitive pathway to mastery. From setting up the Python environment and understanding variables and data types, to exploring control flow, functions, and data structures, every chapter is meticulously crafted to offer clear, insightful explanations alongside practical examples. Delving deeper, the book expands on advanced concepts such as object-oriented programming, exception handling, and file management, ensuring readers gain a solid foundation in developing scalable, efficient Python applications. With sections dedicated to leveraging Python's expansive libraries and frameworks, as well as integrating best practices for testing and debugging, this guide is not only a learning tool but also a valuable reference for creating robust, high-quality software. Whether you're building web applications, automating tasks, or embarking on data analysis, this guide empowers you with the skills needed to harness the full potential of Python in any domain.
Python Made Easy
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Author : Nilabh Nishchhal
language : en
Publisher: Notion Press
Release Date : 2020-10-20
Python Made Easy written by Nilabh Nishchhal and has been published by Notion Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-10-20 with Computers categories.
Python Made Easy: Beginners Guide to Programming and Data Analysis using Python Get comprehensive learning of Python Programming starting from the very basics and going up to utilizing python libraries for data analysis and Visualization. Based on the author’s journey to master Python, this book will help you to quickly start with writing programs and solving your problems using Python. It provides an ideal and elegant way to start learning Python, both for a newcomer to the programming world and a professional developer expert in other languages. This book comes loaded with illustrations and real-life examples. It gives you exercises which challenge you to refresh your conceptual clarity and write better codes. It is super easy to follow and will work as a self-paced tutorial to get you started with the latest and best in Python. All the advanced Python features to date are included. • Get to know the history, present, and future of Data Science • Get introduced to the basics of Computer Programming • Explore the exciting world of Python using Anaconda • Learn how to install and use Python on your computer • Create your Variables, Objects and learn Syntax of operations • Explore Python’s built-in object types like Lists, dictionaries, Tuples, Strings and sets • Learn to make your codes reusable by using functions • Organize your codes, functions and other objects into larger components with Modules • Explore Classes – the Object-Oriented Programming tool for elegant codes • Write complex codes and learn how to handle Errors and Exceptions • Learn about NumPy arrays and operations on them • Explore data analysis using pandas on a real-life data set • Dive into the exciting world of Visualization with 3 chapters on Visualization and Matplotlib • Experience the Power of What you learnt by 3 projects • Learn to make your own application complete with GUI by using API
The Sage Handbook Of Research Methods In Political Science And International Relations
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Author : Luigi Curini
language : en
Publisher: SAGE
Release Date : 2020-04-09
The Sage Handbook Of Research Methods In Political Science And International Relations written by Luigi Curini and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-04-09 with Political Science categories.
The SAGE Handbook of Research Methods in Political Science and International Relations offers a comprehensive overview of the field and its research processes through the empirical and research scholarship of leading international authors.
Coding For Beginners
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Author : Gary Riley
language : en
Publisher: GARY RILEY
Release Date : 2025-01-22
Coding For Beginners written by Gary Riley and has been published by GARY RILEY this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-22 with Computers categories.
Want to learn how to code but don't know where to start? This book will help you on your journey from being a 'noob' to becoming a confident coder
Machine Learning For Science And Engineering Volume 1 Fundamentals
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Author : Herman Jaramillo
language : en
Publisher: SEG Books
Release Date : 2023-04-01
Machine Learning For Science And Engineering Volume 1 Fundamentals written by Herman Jaramillo and has been published by SEG Books this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-04-01 with Science categories.
This textbook teaches underlying mathematics, terminology, and programmatic skills to implement, test, and apply machine learning to real-world problems. Exercises with field data, including well logs and weather measurements, prepare and encourage readers to begin using software to validate results and program their own creative data solutions. As the size and complexity of data soars exponentially, machine learning (ML) has gained prominence in applications in geoscience and related fields. ML-powered technology increasingly rivals or surpasses human performance and fuels a large range of leading-edge research. This textbook teaches the underlying mathematics, terminology, and programmatic skills to implement, test, and apply ML to real-world problems. It builds the mathematical pillars required to thoroughly comprehend and master modern ML concepts and translates the newly gained mathematical understanding into better applied data science. Exercises with raw field data, including well logs and weather measurements, prepare and encourage the reader to begin using software to validate results and program their own creative data solutions. Most importantly, the reader always keeps an eye on the ML’s imperfect data situations as encountered in the real world.
Numerical Python
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Author : Robert Johansson
language : en
Publisher: Apress
Release Date : 2015-10-07
Numerical Python written by Robert Johansson and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-10-07 with Computers categories.
Numerical Python by Robert Johansson shows you how to leverage the numerical and mathematical modules in Python and its Standard Library as well as popular open source numerical Python packages like NumPy, FiPy, matplotlib and more to numerically compute solutions and mathematically model applications in a number of areas like big data, cloud computing, financial engineering, business management and more. After reading and using this book, you'll get some takeaway case study examples of applications that can be found in areas like business management, big data/cloud computing, financial engineering (i.e., options trading investment alternatives), and even games. Up until very recently, Python was mostly regarded as just a web scripting language. Well, computational scientists and engineers have recently discovered the flexibility and power of Python to do more. Big data analytics and cloud computing programmers are seeing Python's immense use. Financial engineers are also now employing Python in their work. Python seems to be evolving as a language that can even rival C++, Fortran, and Pascal/Delphi for numerical and mathematical computations.