By Hans Petter Langtangen
The e-book serves as a primary creation to laptop programming of clinical purposes, utilizing the high-level Python language. The exposition is instance and problem-oriented, the place the purposes are taken from arithmetic, numerical calculus, facts, physics, biology and finance. The booklet teaches "Matlab-style" and procedural programming in addition to object-oriented programming. highschool arithmetic is a required history and it's beneficial to check classical and numerical one-variable calculus in parallel with interpreting this e-book. along with studying easy methods to software pcs, the reader also will easy methods to clear up mathematical difficulties, coming up in a number of branches of technology and engineering, due to numerical tools and programming. by means of mixing programming, arithmetic and clinical purposes, the booklet lays an outstanding starting place for working towards computational technological know-how.
Read Online or Download A Primer on Scientific Programming with Python (4th Edition) (Texts in Computational Science and Engineering, Volume 6) PDF
Similar python books
This publication bargains a hugely available creation to common language processing, the sphere that helps numerous language applied sciences, from predictive textual content and e-mail filtering to computerized summarization and translation. With it, you'll how you can write Python courses that paintings with huge collections of unstructured textual content. You'll entry richly annotated datasets utilizing a entire diversity of linguistic information constructions, and you'll comprehend the most algorithms for examining the content material and constitution of written communication.
filled with examples and routines, ordinary Language Processing with Python might help you:
• Extract details from unstructured textual content, both to wager the subject or establish "named entities"
• study linguistic constitution in textual content, together with parsing and semantic research
• entry well known linguistic databases, together with WordNet and treebanks
• combine concepts drawn from fields as different as linguistics and synthetic intelligence
This ebook can assist you achieve useful talents in usual language processing utilizing the Python programming language and the traditional Language Toolkit (NLTK) open resource library. If you're drawn to constructing net purposes, reading multilingual information assets, or documenting endangered languages -- or if you're easily curious to have a programmer's point of view on how human language works -- you'll locate typical Language Processing with Python either interesting and immensely invaluable.
The agile improvement move represents the most recent advances in instruments and methods meant to spice up developer productiveness. Programming language-agnostic, this flow is taking pictures the eye of builders of all disciplines, and is very usual in state-of-the-art open resource groups akin to Python and Ruby.
Over eighty hands-on recipes that can assist you create small-to-large net functions utilizing Flask approximately This BookGet the main out of the strong Flask framework whereas final versatile together with your layout choicesBuild end-to-end net functions, correct from their deploy to the post-deployment stagesPacked with recipes containing plenty of pattern purposes that will help you comprehend the intricacies of the codeWho This e-book Is ForIf you're a net developer who desires to study extra approximately constructing functions in Flask and scale them with industry-standard practices, this is often the e-book for you.
Stroll during the fundamentals of twister, the high-performance net server identified for its velocity, simplicity, and scalability on initiatives huge and small. With this hands-on consultant, you are going to methods to use Tornado's acclaimed positive factors by way of operating with a number of instance functions. you furthermore mght get top practices for utilizing twister within the actual global.
- Data Analysis with Open Source Tools
- Learn Python the Hard Way (2nd Edition)
- Fundamentals of Programming Languages, 2nd Edition
- Instant OpenCV Starter
Extra resources for A Primer on Scientific Programming with Python (4th Edition) (Texts in Computational Science and Engineering, Volume 6)
IronPython Project Limitations The project you create using this technique has some serious limitations. Here’s a partial list of the things that you won’t see in your IronPython project that you’ll normally see in other Visual Studio projects. indd 28 2/24/10 12:47:20 PM Using Visual Studio to Create IronPython Applications ❘ 29 Debugging the Project After you write your code, you can use the Visual Studio debugger to debug the project. This chapter provides a brief overview of debugging. Chapter 12 discusses debugging in detail.
Visual Studio does provide you with access to many standard debugging features. For example, you can place variables in the Watch windows and see their values as shown in Figure 2-11. You also have access to the Call Stack and Output windows. The Immediate and Command windows don’t work as you might expect them to, so you need to inspect variables and perform other variable-related tasks using the Watch windows. Figure 2-11: The Watch windows provide access to variable information. indd 30 2/24/10 12:47:20 PM Understanding the Use of Indentation and Capitalization in IronPython ❘ 31 Understanding the Use of Indentation and Capitalization in IronPython Most application programming languages have rules that help the compiler or interpreter understand what you mean.
The final two sections are completely optional. In fact, you may want to skip them for now and come back to them after you complete more chapters in the book. The first optional section tells you how to build your own copy of IronPython from the source. The second optional section tells you about third-party libraries. There’s a huge base of third-party libraries for IronPython. Generally, you don’t need to install any third-party libraries to use this book. Everything you need to work with IronPython is included with the download you get from the CodePlex Web site.
- Scikit-Learn Cookbook by Trent Hauck
- Understanding Network Hacks: Attack and Defense with Python by Bastian Ballmann