Django is a high-level Python web framework that makes it easier to build web apps, and allows the apps to be built faster and with less code.
ENVI is image processing and geospatial analysis software created by the NV5 Geospatial Software company. The software integrates with ArcGIS and with Python and is one of the key software tools for GIS professionals.
Fortran was originally developed by IBM in 1958. It was created for scientific and engineering applications. The programming language is on its third generation and is still very popular today for numeric computation and scientific computing, including testing and benchmarking the fastest supercomputers.
Interactive Data Language (IDL) from NV5 Geospatial Software is used to create visualizations out of complex numerical data. It is often used to conduct data analyses in the fields of Astronomy, Atmospheric Physics and Medical Imaging. ENVI, also from NV5 Geospatial, was written in IDL.
Practical IDL Programming by
Increasingly, scientists and engineers must quickly and efficiently analyze and visualize extremely large sets of data. Interactive Data Language, IDL, was designed to address just this need. A popular data analysis and visualization programming environment, IDL is used worldwide by scientists and engineers in fields as diverse as the physical sciences, medical physics, and engineering test and analysis. In Practical IDL Programming, Liam E. Gumley provides a solid foundation in the fundamentals of procedural programming in IDL. He presents concise information on how to develop IDL programmers that are well structured, reliable, and efficient. The example programs in the book demonstrate key concepts and provide functionality that can be applied immediately. In addition, the book offers readers practical tips and advice on IDL programming, which they would otherwise discover only after years of experience. While only modest prior programming experience is assumed, readers with experience in any procedural language will quickly translate their skills to IDL, learning the best programming practices for this new environment. Scientists, engineers, and students in educational, government, and commercial research and development environments will all appreciate the author's guidance in helping them effectively analyze and visualize data. * Presents a comprehensive and detailed treatment of IDL data types, operators, expressions, array operations, input and output, direct graphics, plotting and imaging, publication quality output, and graphical user interfaces.* Designed for novices and experienced IDL users and programmers alike.* Provides an accompanying Web site with downloadable versions of all IDL programs in the book and a link to downloadable demonstration versions of the IDL software.
LabVIEW (Laboratory Virtual Instrument Engineering Workbench) is a visual programming language that allows the creation of user interfaces to be integrated into the development of experiments. The user interfaces are generally used for the control of various instruments and for simulations.
Python is one of the most popular Open Source programming languages. It is used for web development, data analysis, machine learning and scripting.
R is a programming language that was developed to teach introductory statistics. R has become a very popular language for statistical computing and data visualization.
R for Data Science by
Learn how to use R to turn raw data into insight, knowledge, and understanding. This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience, R for Data Science is designed to get you doing data science as quickly as possible. Authors Hadley Wickham and Garrett Grolemund guide you through the steps of importing, wrangling, exploring, and modeling your data and communicating the results. You'll get a complete, big-picture understanding of the data science cycle, along with basic tools you need to manage the details. Each section of the book is paired with exercises to help you practice what you've learned along the way. You'll learn how to: Wrangle--transform your datasets into a form convenient for analysis Program--learn powerful R tools for solving data problems with greater clarity and ease Explore--examine your data, generate hypotheses, and quickly test them Model--provide a low-dimensional summary that captures true "signals" in your dataset Communicate--learn R Markdown for integrating prose, code, and results. You can also access the book at https://r4ds.hadley.nz/, where it is made available by the authors through a Creative Commons license.
Bookdown; authoring books and technical documents with R Markdown by
bookdown: Authoring Books and Technical Documents with R Markdown presents a much easier way to write books and technical publications than traditional tools such as LaTeX and Word. The bookdown package inherits the simplicity of syntax and flexibility for data analysis from R Markdown, and extends R Markdown for technical writing, so that you can make better use of document elements such as figures, tables, equations, theorems, citations, and references. Similar to LaTeX, you can number and cross-reference these elements with bookdown. Your document can even include live examples so readers can interact with them while reading the book. The book can be rendered to multiple output formats, including LaTeX/PDF, HTML, EPUB, and Word, thus making it easy to put your documents online. The style and theme of these output formats can be customized. We used books and R primarily for examples in this book, but bookdown is not only for books or R. Most features introduced in this book also apply to other types of publications: journal papers, reports, dissertations, course handouts, study notes, and even novels. You do not have to use R, either. Other choices of computing languages include Python, C, C++, SQL, Bash, Stan, JavaScript, and so on, although R is best supported. You can also leave out computing, for example, to write a fiction. This book itself is an example of publishing with bookdown and R Markdown, and its source is fully available on GitHub.
SQLite is a C-language library that is used to create database engines. It is Open Source and is the most used library for database engines in the world, finding use in mobile phones, computers, and many other applications.
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