Python High Performance Programming by Gabriele Lanaro

By Gabriele Lanaro

Determine the bottlenecks on your functions and remedy them utilizing the simplest profiling techniques
Write effective numerical code in NumPy and Cython
Adapt your courses to run on a number of processors with parallel programming

Table of Contents
Preface
Chapter 1: Benchmarking and Profiling
Chapter 2: speedy Array Operations with NumPy
Chapter three: C functionality with Cython
Chapter four: Parallel Processing
Index

Preface

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bankruptcy 1: Benchmarking and Profiling
Designing your application
Writing exams and benchmarks
Timing your benchmark
discovering bottlenecks with cProfile
Profile line by way of line with line_profiler
Optimizing our code
The dis module
Profiling reminiscence utilization with memory_profiler
functionality tuning guidance for natural Python code
Summary

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bankruptcy 2: speedy Array Operations with NumPy
Getting began with NumPy
growing arrays
gaining access to arrays
Broadcasting
Mathematical operations
Calculating the Norm
Rewriting the particle simulator in NumPy
achieving optimum functionality with numexpr
Summary

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bankruptcy three: C functionality with Cython
Compiling Cython extensions
including static types
Variables
Functions
Classes
Sharing declarations
operating with arrays
C arrays and pointers
NumPy arrays
Typed memoryviews
Particle simulator in Cython
Profiling Cython
Summary

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bankruptcy four: Parallel Processing
advent to parallel programming
The multiprocessing module
the method and Pool classes
Monte Carlo approximation of pi
Synchronization and locks
IPython parallel
Direct interface
Task-based interface
Parallel Cython with OpenMP
Summary

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The Art of Prolog (2nd Edition) by Leon Sterling, Ehud Shapiro

By Leon Sterling, Ehud Shapiro

This re-creation of The paintings of Prolog encompasses a variety of very important alterations. such a lot heritage sections on the finish of every bankruptcy were up to date to take account of vital fresh learn effects, the references were tremendously extended, and extra complicated routines have been additional that have been used effectively in instructing the direction. half II, The Prolog Language, has been converted to be appropriate with the hot Prolog typical, and the bankruptcy on software improvement has been considerably altered: the predicates outlined were moved to extra acceptable chapters, the part on potency has been moved to the significantly accelerated bankruptcy on cuts and negation, and a brand new part has been additional on stepwise enhancement -- a scientific approach of developing Prolog courses constructed by way of Leon Sterling. All yet certainly one of the chapters partially III, complicated Prolog Programming innovations, have been considerably replaced, with a few significant rearrangements. a brand new bankruptcy on interpreters describes a rule language and interpreter for specialist structures, which greater illustrates how Prolog might be used to build specialist structures. The bankruptcy on software transformation is thoroughly new and the bankruptcy on common sense grammars provides new fabric for spotting uncomplicated languages, exhibiting how grammars observe to extra laptop technological know-how examples.

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Beginning Game Development with Python and Pygame: From by Will McGugan

By Will McGugan

Like track and flicks, games are swiftly turning into an essential component of our lives. through the years, you’ve yearned for each new gaming console, mastered each one blockbuster inside weeks after its unlock, and feature even received an area gaming festival or . yet in recent times you’ve been spending loads of time wondering a online game suggestion of your personal, or are exploring the potential for creating a profession of this brilliant and becoming undefined. yet the place if you commence? starting video game improvement with Python and Pygame is written with the budding online game developer in brain, introducing video games improvement throughout the Python programming language and the preferred Pygame video games improvement library. Authored by way of veteran and Python specialist Will McGugan, who labored at the MotorStorm video game for PlayStation three, you’ll be aware about insights that may not purely assist you to take advantage of Pygame to its greatest strength, but in addition make you a extra inventive and an expert video games developer all around. tips on how to create complex video games by way of making the most of the preferred open resource Python programming language and Pygame video games improvement library know about coding gaming personal tastes, sound, visible results, and joystick/keyboard interplay realize the ideas which are an important to good fortune in modern-day gaming undefined, corresponding to help for a number of structures, and granting clients the facility to increase and customise your video games What you’ll research reap the benefits of Python and the Pygame library to construct compelling cross-platform video games discover ways to most sensible use those applied sciences to show your dream online game into fact Create expert video games via accounting for sound, lighting tricks, and person interplay during the joystick and keyboard construct either - and three-d video games, and examine extra in regards to the components that give a contribution to picking one technique over the opposite offer clients with the skill for extending your video games via point construction and customized transformations as a method to construct a colourful neighborhood round your product package deal your video games in a fashion that permits even amateur laptop clients to put in, use, and replace your video games very easily Who this booklet is for This e-book has been written for any budding video games developer. whereas wisdom of the Python language is helping, it isn’t required. to assist new programmers alongside, early chapters are dedicated to an outline of Python.

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Test- Driven Python Development by Siddharta Govindaraj

By Siddharta Govindaraj

Develop fine quality and maintainable Python purposes utilizing the foundations of test-driven development

About This Book

  • Write powerful and simply maintainable code utilizing the foundations of attempt pushed development
  • Get ideas to real-world difficulties confronted via Python developers
  • Go from a unit trying 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. with a view to get the easiest out of this publication, you will have improvement adventure with Python.

What you are going to Learn

  • Implement the test-driven improvement method in Python applications
  • Fully leverage Python's strong integrated unittest and doctest modules
  • Effectively upload gains to latest code bases that don't have any tests
  • Safely unravel issues of the code and layout, with no breaking any functionality
  • Utilize Python's strong mock and patch performance to check advanced 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 publication starts off with a glance on the test-driven improvement method, and the way it truly is varied from the conventional method of writing code. the entire recommendations are offered within the context of a true software that's built in a step by step demeanour over the process the publication. whereas exploring the typical forms of pungent 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 top of the booklet, we will have a look at the most typical styles and anti-patterns linked to test-driven improvement, together with integration of attempt effects into the advance process.

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The Python Book: The ultimate guide to coding with Python

Within the Python ebook, you’ll locate lots of inventive initiatives that can assist you familiarize yourself with one of many fastest-growing programming languages round. Its robust performance works brilliantly with the Raspberry Pi, yet you'll additionally locate lots of tutorials that target Python’s effectiveness clear of the Pi. You’ll tips on how to code with Python from the very starting with our finished masterclass, then move directly to entire tutorials to consolidate your talents and develop into fluent within the language. prepare to turn into a real Python specialist with the wealth of data contained during this bookazine.

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The Practice of Computing Using Python (2nd Edition) by William F. Punch, Richard Enbody

By William F. Punch, Richard Enbody

A problem-solving method of programming with Python. <p style="margin:0px;"> ¿
<p style="margin:0px;"> The perform of Computing utilizing Python introduces CS1 scholars (majors and non-majors) to computational considering utilizing Python.¿ With data-manipulation as a topic, readers quick see the worth in what they’re studying and depart the path with a collection of instantly invaluable computational abilities that may be utilized to difficulties they come upon in destiny pursuits.¿ The publication takes an “object-use-first” approach–writing periods is roofed merely after scholars have mastered utilizing gadgets. ¿¿

<p style="margin:0px;">This variation is obtainable with MyProgrammingLab, an leading edge on-line homework and evaluation software. during the energy of perform and instant custom-made suggestions, MyProgrammingLab is helping scholars have an understanding of the common sense, semantics, and syntax of programming.

<p style="margin:0px;"> Note: while you're buying the standalone textual content or digital model, MyProgrammingLab does not come instantly packaged with the textual content. to buy MyProgrammingLab, please stopover at: myprogramminglab.com otherwise you can buy a package deal of the actual textual content + MyProgrammingLab by way of looking for ISBN 10: 0132992833 / ISBN thirteen: 9780132992831.¿MyProgrammingLab isn't really a self-paced expertise and may in simple terms be bought whilst required through an instructor.

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Python for Quants. Volume I. by Pawel Lachowicz

By Pawel Lachowicz

Python for Quants is the 1st book-series out there that takes you from absolutely the newbie point in Python programming in the direction of quick purposes in Quantitative research, arithmetic, records, info research, Finance, and Algo buying and selling. Written with ardour, this ebook of exceptional caliber and in-depth insurance teaches you the necessities of Python that let you commence coding your rules, types, and fixing complicated difficulties without delay!

Volume I of Python for Quants trilogy is all approximately making you're feeling ok with Python’s syntax and creativity of object-oriented programming. This quantity doesn't educate you quantitative finance nor records; this can be the topic of quantity II and III. It teaches you Python 3.5 (2.7.10 suitable) utilized to quantitative difficulties by way of nice variety of separately crafted examples and ready-to-use Python codes.

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Lean Python: Learn Just Enough Python to Build Useful Tools by Paul Gerrard

By Paul Gerrard

Learn merely the basic elements of Python with out cluttering up your brain with beneficial properties you'll by no means use. This compact publication isn't a "best solution to write code" kind of booklet; quite, the writer is going over his most-used services, that are all you must understand as a newbie and a few manner beyond.

Lean Python takes fifty eight Python equipment and features and whittles them all the way down to 15: as writer Paul Gerrard says, "I have not stumbled on a necessity for the rest."

What you will Learn

  • Discover lean Python and the way to profit barely enough to construct priceless tools
  • Use Python gadgets, application constitution, I/O, modules and more
  • Handle error and exceptions
  • Test your code
  • Access the net; do looking; and persist data

Who This e-book Is For
This booklet is aimed toward 3 different types of reader: The skilled programmer – in the event you already comprehend a programming language, this e-book supplies a shortcut to knowing the Python language and a few of its layout philosophy.
You paintings in IT and want a programming primer – you are a tester who must have extra expert technical discussions with programmers. operating in the course of the examples can assist you to understand the problem of fine programming.
First-timer – you will want a primary booklet on programming for you to assimilate speedy that will help you make a decision even if programming is for you.

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Data Analysis with Open Source Tools: A hands-on guide for by Philipp K. Janert

By Philipp K. Janert

Gathering information is comparatively effortless, yet turning uncooked info into whatever helpful calls for that you just understand how to extract accurately what you would like. With this insightful publication, intermediate to skilled programmers attracted to information research will research ideas for operating with facts in a company setting. you are going to examine info to find what it comprises, find out how to catch these principles in conceptual versions, after which feed your realizing again into the association via enterprise plans, metrics dashboards, and different purposes. alongside the way in which, you will test with recommendations via hands-on workshops on the finish of every bankruptcy. specifically, you are going to methods to take into consideration the implications you must in attaining - instead of depend upon instruments to imagine for you.

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Think Stats by Allen Downey B.

By Allen Downey B.

If you understand how to application, you've gotten the talents to show facts into wisdom utilizing the instruments of likelihood and data. This concise advent exhibits you ways to accomplish statistical research computationally, instead of mathematically, with courses written in Python.

You'll paintings with a case learn in the course of the ebook that will help you research the full info research process—from amassing facts and producing information to settling on styles and checking out hypotheses. alongside the way in which, you'll get to grips with distributions, the foundations of likelihood, visualization, and lots of different instruments and concepts.
* increase your knowing of likelihood and information through writing and checking out code
* Run experiments to check statistical habit, akin to producing samples from numerous distributions
* Use simulations to appreciate strategies which are difficult to understand mathematically
* research themes now not often lined in an introductory path, comparable to Bayesian estimation
* Import information from nearly any resource utilizing Python, instead of be constrained to information that has been wiped clean and formatted for information instruments
* Use statistical inference to respond to questions about real-world information

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