Scientific Scripting With Python
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Python Scripting For Computational Science
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Author : Hans Petter Langtangen
language : en
Publisher: Springer Science & Business Media
Release Date : 2007-12-05
Python Scripting For Computational Science written by Hans Petter Langtangen and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-12-05 with Mathematics categories.
Numerous readers of the second edition have noti?ed me about misprints and possible improvements of the text and the associated computer codes. The resulting modi?cations have been incorporated in this new edition and its accompanying software. The major change between the second and third editions, however, is caused by the new implementation of Numerical Python, now called numpy. The new numpy package encourages a slightly di?erent syntax compared to the old Numeric implementation, which was used in the previous editions. Since Numerical Python functionality appears in a lot of places in the book, there are hence a huge number of updates to the new suggested numpy syntax, especially in Chapters 4, 9, and 10. The second edition was based on Python version 2.3, while the third edition contains updates for version 2.5. Recent Python features, such as generator expressions (Chapter 8.9.4), Ctypes for interfacing shared libraries in C (Chapter 5.2.2), the with statement (Chapter 3.1.4), and the subprocess module for running external processes (Chapter 3.1.3) have been exempli?ed to make the reader aware of new tools. Chapter 4.4.4 is new and gives a taste of symbolic mathematics in Python.
Scientific Scripting With Python
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Author : Drew McCormack
language : en
Publisher: Lulu.com
Release Date : 2009-11-13
Scientific Scripting With Python written by Drew McCormack and has been published by Lulu.com this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-11-13 with Computers categories.
Learn how to automate your scientific research with Python. This book teaches you the basics of the popular Python scripting language, before delving deep into all aspects of processing data.Python is a simple, yet powerful, programming language similar to Perl, Tcl, and Ruby. It is heavily used in scientific research, and by companies like Google.This book places a strong emphasis on practical techniques for handling data. Although targeted specifically at scientists and engineers, anyone who needs to automate their work flow would find it useful.
Python Scripting For Computational Science
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Author : Hans Petter Langtangen
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-03-14
Python Scripting For Computational Science written by Hans Petter Langtangen and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-03-14 with Mathematics categories.
The primary purpose of this book is to help scientists and engineers work ing intensively with computers to become more productive, have more fun, and increase the reliability of their investigations. Scripting in the Python programming language can be a key tool for reaching these goals [27,29]. The term scripting means different things to different people. By scripting I mean developing programs of an administering nature, mostly to organize your work, using languages where the abstraction level is higher and program ming is more convenient than in Fortran, C, C++, or Java. Perl, Python, Ruby, Scheme, and Tel are examples of languages supporting such high-level programming or scripting. To some extent Matlab and similar scientific com puting environments also fall into this category, but these environments are mainly used for computing and visualization with built-in tools, while script ing aims at gluing a range of different tools for computing, visualization, data analysis, file/directory management, user interfaces, and Internet communi cation. So, although Matlab is perhaps the scripting language of choiee in computational science today, my use of the term scripting goes beyond typi cal Matlab scripts. Python stands out as the language of choice for scripting in computational science because of its very elean syntax, rieh modulariza tion features, good support for numerical computing, and rapidly growing popularity. What Scripting is About.
Python Data Science
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Author : Christopher Wilkinson
language : en
Publisher:
Release Date : 2019-10-26
Python Data Science written by Christopher Wilkinson and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-10-26 with categories.
An Ultimate Guide to Learn Fundamentals of Python Data Science is full of insights and strategies for data scientists, programming professionals, and students who want to equip themselves with the new trending libraries and functions of Python as a data management tool. This book has all the major techniques of data collection, interpretation and processing to achieve refined information. The reader will learn about the scientific research of data, syntax of Python programming language, and all the basic knowledge of imported libraries and methods.An effective approach of Python data science can save time, resources, and energy. You can learn to help any company with the running processes: accounts, HR modules, sales, services and more. Keeping in view the requirements of brand and competition, this guide for beginners covers all the data management strategies and tactics. The development of the well-structured function of Python is purely a systematic and knowledge-based technique. Building a scientific data research system has never been as easy as it is today. A lot of companies have shifted their data systems to the open-source, easy to learn, Python language. If you really want to learn Python Data Science, don't waste your time looking around - buy this extraordinary book now to get started. It is a detailed book with a comprehensive knowledge of data science, Python data structures, standard libraries, data science frameworks and predictive models in Python. Build your success story through learning the best practices of data science. Click the Buy button to get started.
Python Data Science Essentials
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Author : Alberto Boschetti
language : en
Publisher: Packt Publishing Ltd
Release Date : 2016-10-28
Python Data Science Essentials written by Alberto Boschetti and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-10-28 with Computers categories.
Become an efficient data science practitioner by understanding Python's key concepts About This Book Quickly get familiar with data science using Python 3.5 Save time (and effort) with all the essential tools explained Create effective data science projects and avoid common pitfalls with the help of examples and hints dictated by experience Who This Book Is For If you are an aspiring data scientist and you have at least a working knowledge of data analysis and Python, this book will get you started in data science. Data analysts with experience of R or MATLAB will also find the book to be a comprehensive reference to enhance their data manipulation and machine learning skills. What You Will Learn Set up your data science toolbox using a Python scientific environment on Windows, Mac, and Linux Get data ready for your data science project Manipulate, fix, and explore data in order to solve data science problems Set up an experimental pipeline to test your data science hypotheses Choose the most effective and scalable learning algorithm for your data science tasks Optimize your machine learning models to get the best performance Explore and cluster graphs, taking advantage of interconnections and links in your data In Detail Fully expanded and upgraded, the second edition of Python Data Science Essentials takes you through all you need to know to suceed in data science using Python. Get modern insight into the core of Python data, including the latest versions of Jupyter notebooks, NumPy, pandas and scikit-learn. Look beyond the fundamentals with beautiful data visualizations with Seaborn and ggplot, web development with Bottle, and even the new frontiers of deep learning with Theano and TensorFlow. Dive into building your essential Python 3.5 data science toolbox, using a single-source approach that will allow to to work with Python 2.7 as well. Get to grips fast with data munging and preprocessing, and all the techniques you need to load, analyse, and process your data. Finally, get a complete overview of principal machine learning algorithms, graph analysis techniques, and all the visualization and deployment instruments that make it easier to present your results to an audience of both data science experts and business users. Style and approach The book is structured as a data science project. You will always benefit from clear code and simplified examples to help you understand the underlying mechanics and real-world datasets.
Applying Machine Learning In Science Education Research
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Author : Peter Wulff
language : en
Publisher: Springer Nature
Release Date : 2025-02-28
Applying Machine Learning In Science Education Research written by Peter Wulff and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-28 with Science categories.
This open access textbook offers science education researchers a hands-on guide for learning, critically examining, and integrating machine learning (ML) methods into their science education research projects. These methods power many artificial intelligence (AI)-based technologies and are widely adopted in science education research. ML can expand the methodological toolkit of science education researchers and provide novel opportunities to gain insights on science-related learning and teaching processes, however, applying ML poses novel challenges and is not suitable for every research context. The volume first introduces the theoretical underpinnings of ML methods and their connections to methodological commitments in science education research. It then presents exemplar case studies of ML uses in both formal and informal science education settings. These case studies include open-source data, executable programming code, and explanations of the methodological criteria and commitments guiding ML use in each case. The textbook concludes with a discussion of opportunities and potential future directions for ML in science education. This textbook is a valuable resource for science education lecturers, researchers, under-graduate, graduate and postgraduate students seeking new ways to apply ML in their work.
Enabling Technology For Simulation Science
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Author :
language : en
Publisher:
Release Date : 2003
Enabling Technology For Simulation Science written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003 with Computer simulation categories.
Key Engineering Materials And Computer Science
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Author : Jun Hu
language : en
Publisher: Trans Tech Publications Ltd
Release Date : 2011-08-16
Key Engineering Materials And Computer Science written by Jun Hu and has been published by Trans Tech Publications Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-08-16 with Technology & Engineering categories.
Selected, peer reviewed paper from 2011 International Conference on Key Engineering Materials and Computer Science (KEMCS 2011) in Dalian, China, August 6-7, 2011
Python Recipes For Engineers And Scientists
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Author : Javier Riverola Gurruchaga
language : en
Publisher:
Release Date : 2018-07-18
Python Recipes For Engineers And Scientists written by Javier Riverola Gurruchaga and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-07-18 with Computers categories.
This book is not a manual of PYTHON nor does it replace many excellent books on the use of this cool language. What this book offers is a friendly aid for some of the frequent numerical problems that arise in the analytical study of many engineering and physical problems. The chapters of the book reach the point in a simple way by deliberately giving up to impress the reader with the power and sophistication of PYTHON in favor of readability and understanding. The scripts are autonomous and solve very specific problems such as interpolation and fitting, non-linear equations, integration, differential equations, in few essential sentences. Even so, the reader will see that they can combined and adapt to real problems. I assumed that the reader has some elementary knowledge of script writing, although not necessarily advanced knowledge. Yet, a Python primer is included at the end.
Materials Science And Information Technology
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Author : Cai Suo Zhang
language : en
Publisher: Trans Tech Publications Ltd
Release Date : 2012-01-03
Materials Science And Information Technology written by Cai Suo Zhang and has been published by Trans Tech Publications Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-01-03 with Technology & Engineering categories.
Selected, peer reviewed papers from the 2011 International Conference on Material Science and Information Technology (MSIT 2011), September 16-18, 2011, Singapore