New PDF release: Pi : a source book

By Lennart Berggren; Jonathan Borwein; Peter Borwein

ISBN-10: 0387989463

ISBN-13: 9780387989464

From the contents: Preface.- Acknowledgements.- Introduction.- The Rhind Mathematical Papyrus-Problem 50.- Engles. Quadrature of the Circle in historic Egypt.- Archimedes. dimension of a Circle.- Phillips. Archimedes the Numerical Analyst.- Lam & Ang. Circle Measurements in old China.- The Banu Musa: The dimension of aircraft and good Figures.- Madhava's. the facility sequence for Arctan and Pi.- Hope-Jones. Ludolph van Ceulen.- Viete. Variorum de Revus Mathematicis Reponsorum Liber VII.- Wallis. Computation of Pi by way of Successive Interpolations.- Wallis. Arithmetica Infinitorum.- Huygens. De Circuli Magnitudine Inventa.- Gregory. Correspondence with John Collins.- Jones. the 1st Use of Pi for the Circle Ratio.- Newton. Of the strategy of Fluxions and countless Series.- Euler. bankruptcy 10 of creation to research of the Infinite.- Lambert. Memoire Sur Quelques Proprietes Remarquables Des Quantites Transcendentes Circulaires et Logarithmiques.- Lambert. Irrationality of Pi.- Shanks. Contributions to arithmetic Comprising mainly of the Rectification of the Circle to 607 areas of Decimals.- Hermite. Sur l. a. Fonction Exponentielle.- and masses extra

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Get Data Science from Scratch: First Principles with Python PDF

By Joel Grus

ISBN-10: 1491904402

ISBN-13: 9781491904404

Facts technology libraries, frameworks, modules, and toolkits are nice for doing information technology, yet they're additionally so as to dive into the self-discipline with no really realizing facts technology. during this ebook, you'll find out how some of the so much primary information technological know-how instruments and algorithms paintings by means of enforcing them from scratch.

If you've got an inherent ability for arithmetic and a few programming talents, writer Joel Grus may help you get pleased with the maths and data on the middle of information technological know-how, and with hacking talents you must start as an information scientist. Today's messy glut of information holds solutions to questions no one's even inspiration to invite. This publication offers you the knowledge to dig these solutions out.
•Get a crash path in Python
•Learn the fundamentals of linear algebra, data, and probability—and know the way and while they're utilized in facts science
•Collect, discover, fresh, munge, and control data
•Dive into the basics of laptop learning
•Implement types similar to k-nearest buddies, Naive Bayes, linear and logistic regression, selection bushes, neural networks, and clustering
•Explore recommender structures, normal language processing, community research, MapReduce, and databases

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New PDF release: Bioinformatics Data Skills: Reproducible and Robust Research

By Vince Buffalo

ISBN-10: 1449367372

ISBN-13: 9781449367374

This sensible ebook teaches the abilities that scientists want for turning huge sequencing datasets into reproducible and powerful organic findings. Many biologists start their bioinformatics education by means of studying scripting languages like Python and R along the Unix command line. yet there's a big hole among realizing a number of programming languages and being ready to investigate quite a lot of organic data.
Rather than train bioinformatics as a collection of workflows which are prone to switch with this quickly evolving box, this publication demsonstrates the perform of bioinformatics via information abilities. Rigorous evaluate of knowledge caliber and of the effectiveness of instruments is the root of reproducible and powerful bioinformatics research. via open resource and freely on hand instruments, you'll research not just the way to do bioinformatics, yet the way to process difficulties as a bioinformatician.
Go from dealing with small issues of messy scripts to tackling huge issues of shrewdpermanent tools and tools
Focus on high-throughput (or "next generation") sequencing data
Learn information research with smooth tools, as opposed to overlaying older theoretical concepts
Understand how you can opt for and enforce the easiest instrument for the job
Delve into tools that result in more uncomplicated, extra reproducible, and strong bioinformatics research

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Python Data Visualization Cookbook (2nd Edition) by Igor Milovanovic, Dimitry Foures, Giuseppe Vettigli PDF

By Igor Milovanovic, Dimitry Foures, Giuseppe Vettigli

ISBN-10: 1784394947

ISBN-13: 9781784394943

Over 70 recipes to get you begun with well known Python libraries in response to the important recommendations of information visualization

About This Book
Learn easy methods to organize an optimum Python surroundings for information visualization
Understand tips to import, fresh and manage your data
Determine assorted methods to facts visualization and the way to decide on the main acceptable on your needs
Who This publication Is For
If approximately Python programming and need to appreciate info, information codecs, facts visualization, and the way to take advantage of Python to imagine info then this ebook is for you.

What you are going to Learn
Introduce your self to the fundamental tooling to establish your operating environment
Explore your facts utilizing the features of ordinary Python information Library and Panda Library
Draw your first chart and customise it
Use the most well-liked facts visualization Python libraries
Make 3D visualizations commonly utilizing mplot3d
Create charts with photographs and maps
Understand the main acceptable charts to explain your data
Know the matplotlib hidden gems
Use plot.ly to percentage your visualization online

In Detail
Python info Visualization Cookbook will development the reader from the purpose of putting in and developing a Python surroundings for facts manipulation and visualization all of the method to 3D animations utilizing Python libraries. Readers will make the most of over 60 distinct and reproducible recipes that might advisor the reader in the direction of a greater knowing of information ideas and the development blocks for next and occasionally extra complex concepts.
Python info Visualization Cookbook starts off via displaying tips to manage matplotlib and the similar libraries which are required for many elements of the e-book, ahead of relocating directly to speak about a few of the lesser-used diagrams and charts comparable to Gantt Charts or Sankey diagrams. at first it makes use of basic plots and charts to extra complicated ones, to make it effortless to appreciate for readers. because the readers will wade through the booklet, they're going to get to grasp concerning the 3D diagrams and animations. Maps are irreplaceable for exhibiting geo-spatial facts, so this e-book also will express how one can construct them. within the final bankruptcy, it comprises clarification on the best way to include matplotlib into assorted environments, akin to a writing process, LaTeX, or the right way to create Gantt charts utilizing Python.

Style and approach
A step by step recipe dependent method of info visualization. the subjects are defined sequentially as cookbook recipes including a code snippet and the ensuing visualization.

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Download e-book for iPad: Mastering SciPy by Francisco J. Blanco-Silva

By Francisco J. Blanco-Silva

ISBN-10: 1783984740

ISBN-13: 9781783984749

Approximately This booklet grasp the speculation and algorithms at the back of numerical recipes and the way they are often utilized to real-world difficulties discover ways to mix the main acceptable integrated capabilities from the SciPy stack by means of realizing the relationship among the resources of your challenge, quantity of knowledge, or machine structure A entire insurance of all of the mathematical recommendations had to remedy the provided subject matters, with a dialogue of the appropriate algorithms inbuilt the SciPy stack Who This booklet Is For while you're a certified with a talent in Python and familiarity with IPython, this publication is for you. a few uncomplicated wisdom of numerical equipment in medical computing will be priceless. What you are going to research grasp suitable algorithms utilized in symbolic or numerical arithmetic to deal with the approximation, interpolation, and optimization of scalar or multi-variate capabilities enhance diverse algorithms and techniques to successfully shop and control huge matrices of knowledge, in order to fixing a number of difficulties in numerical linear algebra know how to version actual issues of structures of differential equations and distinguish the criteria that dictate the innovations to unravel them numerically practice statistical research, inference, info mining, and computer studying at larger point, and observe those to real-world difficulties Adapt priceless rules in computational geometry like Delaunay triangulations, Voronoi diagrams, geometric question difficulties, or Bezier curves, and observe them to numerous engineering difficulties get yourself up to speed with diverse the right way to symbolize and compress photographs, in addition to suggestions utilized in photo processing, together with variation, recovery, in portray, segmentation, or characteristic attractiveness intimately The SciPy stack is a suite of open resource libraries of the strong scripting language Python, including its interactive shells. This setting bargains a state-of-the-art platform for

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Pro Python (2nd Edition) by Marty Alchin, J. Burton Browning PDF

By Marty Alchin, J. Burton Browning

ISBN-10: 1484203356

ISBN-13: 9781484203354

You’ve discovered the fundamentals of Python, yet how do you are taking your talents to the subsequent degree? whether you recognize adequate to be effective, there are various positive factors that may take you to the subsequent point in Python. professional Python, moment version explores techniques and lines quite often left to experimentation, permitting you to be much more efficient and creative.

In addition to natural code issues, professional Python develops your programming thoughts and techniques, with a view to assist in making you a greater Python programmer. This publication will increase not just your code but additionally your figuring out and interplay with the numerous proven Python communities.

This e-book takes your Python wisdom and coding talents to the following point. It exhibits you ways to put in writing fresh, cutting edge code that may be revered through your friends. With this ebook, make your code do extra with introspection and meta-programming. And research and later use the nuts and bolts of an program, tier-by-tier as a fancy case learn alongside the way.

For additional info, together with a hyperlink to the resource code referenced within the booklet, please stopover at http://propython.com/.

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Read e-book online Data Structures and Algorithms With Python PDF

By Kent D. Lee, Steve Hubbard

ISBN-10: 3319130722

ISBN-13: 9783319130729

This textbook explains the thoughts and methods required to write down courses which may deal with quite a lot of information successfully. Project-oriented and classroom-tested, the booklet provides a couple of vital algorithms supported via examples that convey intending to the issues confronted by means of laptop programmers. the belief of computational complexity is usually brought, demonstrating what can and can't be computed successfully in order that the programmer could make expert decisions concerning the algorithms they use. positive factors: comprises either introductory and complex information constructions and algorithms subject matters, with prompt bankruptcy sequences for these respective classes supplied within the preface; offers studying ambitions, overview questions and programming routines in each one bankruptcy, in addition to a number of illustrative examples; deals downloadable courses and supplementary documents at an linked web site, with teacher fabrics to be had from the writer; provides a primer on Python for these from a unique language background.

From the again Cover

This in actual fact established and simple to learn textbook explains the suggestions and strategies required to put in writing courses that could deal with quite a lot of info efficiently.

Project-oriented and classroom-tested, the e-book provides a couple of vital algorithms supported through motivating examples that deliver intending to the issues confronted by means of desktop programmers. the assumption of computational complexity can also be brought, demonstrating what can and can't be computed successfully in order that the programmer could make expert decisions in regards to the algorithms they use. The textual content assumes a few easy event in desktop programming and familiarity in an object-oriented language, yet no longer unavoidably with Python.

Topics and features:

Includes either introductory and complex information constructions and algorithms issues, with recommended bankruptcy sequences for these respective classes supplied within the preface
Provides studying targets, overview questions and programming routines in every one bankruptcy, in addition to a variety of illustrative examples
Offers downloadable courses and supplementary records at an linked site, with teacher fabrics on hand from the author
Presents a primer on Python for these coming from a special language background
Reviews using hashing in units and maps, in addition to an exam of binary seek timber and tree traversals, and fabric on intensity first seek of graphs
Discusses subject matters compatible for a complicated direction, corresponding to club constructions, lots, balanced binary seek timber, B-trees and heuristic search
Students of computing device technology will locate this transparent and concise textbook to be helpful for undergraduate classes on info buildings and algorithms, at either introductory and complicated degrees. The ebook can be compatible as a refresher advisor for computing device programmers beginning new jobs operating with Python.

About the Author

Dr. Kent D. Lee is Professor of computing device technological know-how at Luther university, Decorah, Iowa, united states. he's the writer of the profitable Springer textbook Python Programming basics and the drawing close Foundations of Programming Languages.

Dr. Steve Hubbard is Professor of arithmetic and machine technological know-how at Luther collage.

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Read e-book online Test- Driven Python Development PDF

By Siddharta Govindaraj

ISBN-10: 1783987928

ISBN-13: 9781783987924

Develop top of the range and maintainable Python purposes utilizing the rules of test-driven development

About This Book

  • Write powerful and simply maintainable code utilizing the rules of try out pushed development
  • Get ideas to real-world difficulties confronted by means of Python developers
  • Go from a unit checking out newbie to a grasp via a sequence of step by step tutorials which are effortless to follow

Who This ebook Is For

This booklet is meant for Python builders who are looking to use the foundations of test-driven improvement (TDD) to create effective and strong functions. in an effort to get the easiest out of this booklet, you'll have improvement event with Python.

What you'll Learn

  • Implement the test-driven improvement procedure in Python applications
  • Fully leverage Python's strong integrated unittest and doctest modules
  • Effectively upload good points to present code bases that don't have any tests
  • Safely get to the bottom of issues of the code and layout, with out breaking any functionality
  • Utilize Python's robust mock and patch performance to check complicated interactions
  • Integrate unit checking out into the final software program supply process
  • Use doctest to check code with examples
  • Enhance TDD with the nose2 try runner

In Detail

This ebook starts off with a glance on the test-driven improvement approach, and the way it truly is varied from the conventional approach of writing code. the entire recommendations are offered within the context of a true software that's constructed in a step by step demeanour over the process the e-book. whereas exploring the typical forms of stinky code, we are going to return into our instance undertaking and freshen up the smells that we find.

Additionally, we'll use mocking to enforce the components of our instance undertaking that rely on different platforms. in the direction of the tip of the publication, we are going to seriously look into the most typical styles and anti-patterns linked to test-driven improvement, together with integration of try out effects into the advance process.

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