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Python Tools for Scientists

Python Tools for Scientists

Author: Lee Vaughan

Publisher: No Starch Press

ISBN: 9781718502673

Category: Computers

Page: 744

View: 455

An introduction to the Python programming language and its most popular tools for scientists, engineers, students, and anyone who wants to use Python for research, simulations, and collaboration. Python Tools for Scientists will introduce you to Python tools you can use in your scientific research, including Anaconda, Spyder, Jupyter Notebooks, JupyterLab, and numerous Python libraries. You’ll learn to use Python for tasks such as creating visualizations, representing geospatial information, simulating natural events, and manipulating numerical data. Once you’ve built an optimal programming environment with Anaconda, you’ll learn how to organize your projects and use interpreters, text editors, notebooks, and development environments to work with your code. Following the book’s fast-paced Python primer, you’ll tour a range of scientific tools and libraries like scikit-learn and seaborn that you can use to manipulate and visualize your data, or analyze it with machine learning algorithms. You’ll also learn how to: Create isolated projects in virtual environments, build interactive notebooks, test code in the Qt console, and use Spyder’s interactive development features Use Python’s built-in data types, write custom functions and classes, and document your code Represent data with the essential NumPy, Matplotlib, and pandas libraries Use Python plotting libraries like Plotly, HoloViews, and Datashader to handle large datasets and create 3D visualizations Regardless of your scientific field, Python Tools for Scientists will show you how to choose the best tools to meet your research and computational analysis needs.

Doing Computational Social Science

Doing Computational Social Science

Author: John McLevey

Publisher: SAGE

ISBN: 9781529736700

Category: Business & Economics

Page: 689

View: 238

Computational approaches offer exciting opportunities for us to do social science differently. This beginner’s guide discusses a range of computational methods and how to use them to study the problems and questions you want to research. It assumes no knowledge of programming, offering step-by-step guidance for coding in Python and drawing on examples of real data analysis to demonstrate how you can apply each approach in any discipline. The book also: Considers important principles of social scientific computing, including transparency, accountability and reproducibility. Understands the realities of completing research projects and offers advice for dealing with issues such as messy or incomplete data and systematic biases. Empowers you to learn at your own pace, with online resources including screencast tutorials and datasets that enable you to practice your skills and get up to speed. For anyone who wants to use computational methods to conduct a social science research project, this book equips you with the skills, good habits and best working practices to do rigorous, high quality work.

Practical Data Analysis Using Jupyter Notebook

Practical Data Analysis Using Jupyter Notebook

Author: Marc Wintjen

Publisher: Packt Publishing Ltd

ISBN: 9781838825096

Category: Computers

Page: 322

View: 770

Understand data analysis concepts to make accurate decisions based on data using Python programming and Jupyter Notebook Key FeaturesFind out how to use Python code to extract insights from data using real-world examplesWork with structured data and free text sources to answer questions and add value using dataPerform data analysis from scratch with the help of clear explanations for cleaning, transforming, and visualizing dataBook Description Data literacy is the ability to read, analyze, work with, and argue using data. Data analysis is the process of cleaning and modeling your data to discover useful information. This book combines these two concepts by sharing proven techniques and hands-on examples so that you can learn how to communicate effectively using data. After introducing you to the basics of data analysis using Jupyter Notebook and Python, the book will take you through the fundamentals of data. Packed with practical examples, this guide will teach you how to clean, wrangle, analyze, and visualize data to gain useful insights, and you'll discover how to answer questions using data with easy-to-follow steps. Later chapters teach you about storytelling with data using charts, such as histograms and scatter plots. As you advance, you'll understand how to work with unstructured data using natural language processing (NLP) techniques to perform sentiment analysis. All the knowledge you gain will help you discover key patterns and trends in data using real-world examples. In addition to this, you will learn how to handle data of varying complexity to perform efficient data analysis using modern Python libraries. By the end of this book, you'll have gained the practical skills you need to analyze data with confidence. What you will learnUnderstand the importance of data literacy and how to communicate effectively using dataFind out how to use Python packages such as NumPy, pandas, Matplotlib, and the Natural Language Toolkit (NLTK) for data analysisWrangle data and create DataFrames using pandasProduce charts and data visualizations using time-series datasetsDiscover relationships and how to join data together using SQLUse NLP techniques to work with unstructured data to create sentiment analysis modelsDiscover patterns in real-world datasets that provide accurate insightsWho this book is for This book is for aspiring data analysts and data scientists looking for hands-on tutorials and real-world examples to understand data analysis concepts using SQL, Python, and Jupyter Notebook. Anyone looking to evolve their skills to become data-driven personally and professionally will also find this book useful. No prior knowledge of data analysis or programming is required to get started with this book.

Chehalis Stories

Chehalis Stories

Author: Jolynn Amrine Goertz

Publisher: U of Nebraska Press

ISBN: 9781496204110

Category: Social Science

Page: 367

View: 578

Published through the Recovering Languages and Literacies of the Americas initiative, supported by the Andrew W. Mellon Foundation In Chehalis Stories Jolynn Amrine Goertz and the Confederated Tribes of the Chehalis Reservation in Western Washington have assembled a collaborative volume of traditional stories collected by the anthropologist Franz Boas from tribal knowledge keepers in the early twentieth century. Both Boas and Amrine Goertz worked with past and present elders, including Robert Choke, Marion Davis, Peter Heck, Blanche Pete Dawson, and Jonas Secena, in collecting and contextualizing traditional knowledge of the Chehalis people. The elders shared stories with Boas at a critical juncture in Chehalis history, when assimilation efforts during the 1920s affected almost every aspect of Chehalis life. These are stories of transformation, going away, and coming back. The interwoven adventures of tricksters and transformers in Coast Salish narratives recall the time when people and animals lived together in the Chehalis River Valley. Catastrophic floods, stolen children, and heroic rescues poignantly evoke the resiliency of the people who have carried these stories for generations. Working with contemporary Chehalis people, Amrine Goertz has extensively reviewed the work of anthropologists in western Washington. This important collection examines the methodologies, shortcomings, and limitations of anthropologists' relationship with Chehalis people and presents complementary approaches to field work and its contextualization.

About the Rose

About the Rose

Author: Elizabeth Ferrell

Publisher: Yale University Press

ISBN: 9780300256529

Category: Art

Page: 249

View: 596

A remarkable portrait of a web of artistic connections, traced outward from Jay DeFeo's uniquely generative work of art Through deep archival research and nuanced analysis, Elizabeth Ferrell examines the creative exchange that developed with and around The Rose, a monumental painting on which the San Francisco artist Jay DeFeo (1929-1989) worked almost exclusively from 1958 to 1966. From its early state to its dramatic removal from DeFeo's studio, the painting was a locus of activity among Fillmore District artists. Wallace Berman, Bruce Conner, Wally Hedrick, and Michael McClure each took up The Rose in their photographs, films, paintings, and poetry, which DeFeo then built upon in turn. The resulting works established a dialogue between artists rather than seamless cooperation. Illustrated with archival photographs and personal correspondence, in addition to the artworks, Ferrell's book traces how The Rose became a stage for experimentation with authorship and community, defying traditional definitions of collaboration and creating alternatives to Cold War America's political and artistic binaries.

MathLink ® Hardback with CD-ROM

MathLink ® Hardback with CD-ROM

Author: Chikara Miyaji

Publisher: Cambridge University Press

ISBN: 0521641721

Category: Computers

Page: 282

View: 274

This book introduces the basic concepts of MathLink and explains how to extend Mathematica using MathLink. Miyaji and Abbott show how to write Mathlink programs and how to apply Mathlink in a variety of situations. MathLink comprises a simple and powerful way to write programs that communicate with Mathematica and offers access to a wide range of network resources. Writing network programs is the most demanded skill in the Internet Age and MathLink provides a sophisticated level of network programming to the nonprogrammer, scientist, engineer, and student. Mathematica's powerful "problem-oriented" programming language includes symbolic and numerical computation, and excellent graphics capabilities, which enables users to write compact and elegant programs that are much shorter than in conventional languages. Within MathLink one can write programs that communicate with Mathematica. Since most electronic devices are connected to, or controlled by, a computer, it is straightforward to interface them to Mathematica. Once your device is connected to Mathematica, you can manipulate the data within Mathematica. The authors examine in detail source code for a range of practical examples ranging from elementary to advanced, allowing readers to easily adapt the code to suit their own practical needs. The text assumes that the reader is already familiar with Mathematica.

Machine Learning For Dummies

Machine Learning For Dummies

Author: John Paul Mueller

Publisher: John Wiley & Sons

ISBN: 9781119724063

Category: Computers

Page: 464

View: 142

Your comprehensive entry-level guide to machine learning While machine learning expertise doesn’t quite mean you can create your own Turing Test-proof android—as in the movie Ex Machina—it is a form of artificial intelligence and one of the most exciting technological means of identifying opportunities and solving problems fast and on a large scale. Anyone who masters the principles of machine learning is mastering a big part of our tech future and opening up incredible new directions in careers that include fraud detection, optimizing search results, serving real-time ads, credit-scoring, building accurate and sophisticated pricing models—and way, way more. Unlike most machine learning books, the fully updated 2nd Edition of Machine Learning For Dummies doesn't assume you have years of experience using programming languages such as Python (R source is also included in a downloadable form with comments and explanations), but lets you in on the ground floor, covering the entry-level materials that will get you up and running building models you need to perform practical tasks. It takes a look at the underlying—and fascinating—math principles that power machine learning but also shows that you don't need to be a math whiz to build fun new tools and apply them to your work and study. Understand the history of AI and machine learning Work with Python 3.8 and TensorFlow 2.x (and R as a download) Build and test your own models Use the latest datasets, rather than the worn out data found in other books Apply machine learning to real problems Whether you want to learn for college or to enhance your business or career performance, this friendly beginner's guide is your best introduction to machine learning, allowing you to become quickly confident using this amazing and fast-developing technology that's impacting lives for the better all over the world.

Coding All-in-One For Dummies

Coding All-in-One For Dummies

Author: Chris Minnick

Publisher: John Wiley & Sons

ISBN: 9781119889564

Category: Computers

Page: 914

View: 588

The go-to guide for learning coding from the ground-up Adding some coding know-how to your skills can help launch a new career or bolster an old one. Coding All-in-One For Dummies offers an ideal starting place for learning the languages that make technology go. This edition gets you started with a helpful explanation of how coding works and how it’s applied in the real-world before setting you on a path toward writing code for web building, mobile application development, and data analysis. Add coding to your skillset for your existing career, or begin the exciting transition into life as a professional developer—Dummies makes it easy. Learn coding basics and how to apply them Analyze data and automate routine tasks on the job Get the foundation you need to launch a career as a coder Add HTML, JavaScript, and Python know-how to your resume This book serves up insight on the basics of coding, designed to be easy to follow, even if you’ve never written a line of code in your life. You can do this.