Cython: A Guide of Python Programmers

By Kurt W. Smith

Build software program that mixes Python's expressivity with the functionality and keep watch over of C (and C++). It's attainable with Cython, the compiler and hybrid programming language utilized by foundational programs resembling NumPy, and favourite in tasks together with Pandas, h5py, and scikits-learn. during this sensible advisor, you'll how to use Cython to enhance Python's performance—up to 3000x— and to wrap C and C++ libraries in Python with ease.

Author Kurt Smith takes you thru Cython's features, with pattern code and in-depth perform workouts. If you're simply beginning with Cython, or are looking to cross deeper, you'll learn the way this language is an important a part of any performance-oriented Python programmer's arsenal.
• Use Cython's static typing to hurry up Python code
• achieve hands-on event utilizing Cython good points to spice up your numeric-heavy Python
• Create new forms with Cython—and see how briskly object-oriented programming in Python can be
• successfully manage Cython code into separate modules and programs with no sacrificing performance
• Use Cython to offer Pythonic interfaces to C and C++ libraries
• Optimize code with Cython's runtime and compile-time profiling tools
• Use Cython's prange functionality to parallelize loops transparently with OpenMP

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Learn Raspberry Pi Programming with Python

By Wolfram Donat

Learn Raspberry Pi Programming with Python will provide help to application your nifty new $35 desktop to make an internet spider, a climate station, a media server, and extra. you are going to software in Python in your Raspberry Pi with hands-on examples and enjoyable initiatives.

Even in case you are thoroughly new to programming often, you will work out find out how to create a house protection method, an underwater images method, an RC aircraft with a digicam, or even a near-space climate balloon with a camera.

You'll how to make a number of enjoyable or even helpful tasks, from an online bot to go looking and obtain documents to a toy to force your pets insane. you will even how to use Pi with Arduino in addition to Pi with Gertboard, a variety board with an onboard ATmega microcontroller.

What you’ll learn

  • Raspberry Pi and electronics fundamentals
  • Quick intro to Linux
  • Python fundamentals to get you begun on a collection of initiatives
  • How to make quite a few Pi and Python initiatives, together with servers and contraptions with cameras
  • How to take advantage of Pi with Arduino and Gertboard

Who this ebook is for

Readers who are looking to examine Python on a enjoyable platform just like the Pi and decide up a few electronics abilities alongside the best way. No programming or Linux ability required, yet a bit event with Linux can be priceless.

Table of Contents

1. Introducing the Raspberry Pi

2. Linux by way of the Seat of Your Pants

3. Introducing Python

4. Electronics at 100mph

5. The WebBot

6. the elements Station

7. The Media Server

8. the house defense System

9. The Cat Toy

10. The Radio-controlled Airplane

11. the elements Balloon

12. The Submersible

13. The Gertboard

14. The Raspberry Pi and the Arduino

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Getting Started with Beautiful Soup

By Vineeth G. Nair

Enhance your net scraping abilities with appealing Soup

About This Book

  • Learn in regards to the positive aspects of gorgeous Soup with Python
  • Understand the right way to use an easy way to extract details from web pages utilizing attractive Soup and the Python urllib2 module
  • Master looking, navigation, content material amendment, encoding, and output equipment quick and efficiently
  • Try out the instance code and become familiar with appealing Soup easily

Who This ebook Is For

Getting begun with appealing Soup is excellent for anyone who's attracted to site scraping and extracting info. despite the fact that, a uncomplicated wisdom of Python, HTML tags, and CSS is needed for larger understanding.

What you are going to Learn

  • Learn tips to scrape HTML pages from websites
  • Implement an easy option to scrape any site with assistance from developer instruments, the Python urllib2 module, and lovely Soup
  • Learn easy methods to look for info inside of an HTML/XML page
  • Modify the contents of an HTML tree
  • Understand encoding aid in attractive Soup
  • Learn in regards to the varieties of output formatting

In Detail

Beautiful Soup is a Python library designed for speedy turnaround tasks like screen-scraping. attractive Soup offers a number of uncomplicated equipment and Pythonic idioms for navigating, looking out, and editing a parse tree: a toolkit for dissecting a record and extracting what you would like with out writing extra code for an software. It does not take a lot code to jot down an software utilizing appealing Soup.

Getting all started with appealing Soup is a pragmatic consultant to appealing Soup utilizing Python. The publication begins by way of strolling you thru the set up of every and each function of lovely Soup utilizing uncomplicated examples which come with pattern Python codes in addition to diagrams and screenshots anyplace required for greater figuring out. The e-book discusses the issues of ways precisely you will get facts out of an internet site and offers a simple resolution with the aid of a true web site and pattern code.

Getting begun with appealing Soup is going over the various easy methods to set up attractive Soup in either Linux and home windows platforms. you'll then find out about looking, navigating, content material amendment, encoding help, and output formatting with the aid of examples and pattern Python codes for every instance that you should test them out to get a greater figuring out. This ebook is a realistic consultant for scraping details from any site. a good way to the way to successfully scrape pages from web pages, then this ebook is for you.

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Mastering Object-oriented Python

Key Features

  • Create functions with versatile logging, robust configuration and command-line innovations, computerized unit exams, and reliable documentation
  • Use the Python distinctive the way to combine seamlessly with integrated good points and the traditional library
  • Design periods to help item patience in JSON, YAML, Pickle, CSV, XML, Shelve, and SQL

Book Description

An object-oriented method of Python net improvement delivers a way more fully-realised adventure of the language. the flexibleness and gear of Python, mixed with the advancements in layout, coding and software program upkeep that object-oriented programming permits, is outfitted to reply to the demanding situations of a growing number of advanced and data-intensive software improvement, making tough projects even more achievable. This e-book has been designed to make this subtle method of programming more uncomplicated to profit fast, supplying you with a transparent and coherent studying journey.

Beginning by way of taking a look at quite a number layout styles for the _init_() strategy, you are going to the best way to successfully use various Python s specified how you can create periods that combine with Python s integrated good points, and locate targeted explorations and demonstrations of callables and contexts, bins and collections, numbers, and interior decorators and mixins, with a spotlight on top practices for potent and winning layout. The booklet additionally beneficial properties details that demonstrates tips on how to create continual gadgets utilizing JSON, YAML, Pickle, CSV, XML, Shelve and SQL and indicates you ways to transmit items among procedures. Going additional into OOP, you ll locate professional info on logging, warnings, unit checking out in addition to operating with the command line.

Structured in three components to make the complexity of OOP extra plausible - Pythonic sessions through specified equipment, endurance and Serialization and checking out, Debugging, Deploying, and retaining this publication bargains deep perception into OOP to help you advance specialist point object-oriented Python skills.

What you'll learn

  • Create purposes with versatile logging, robust configuration and command-line recommendations, automatic unit exams, and sturdy documentation
  • Get to grips with various layout styles for the __init__() method
  • Design callable items and context managers
  • Perform item serialization in codecs resembling JSON, YAML, Pickle, CSV, and XML
  • Map Python items to a SQL database utilizing the integrated SQLite module
  • Transmit Python gadgets through RESTful internet services
  • Devise innovations for computerized unit checking out, together with tips on how to use the doctest and the unittest.mock module
  • Parse command-line arguments and combine this with configuration records and setting variables

About the Author

Steven F. Lott has been programming because the 70s, while desktops have been huge, dear, and infrequent. As a freelance software program developer and architect, he has labored on countless numbers of initiatives, from very small to huge. he is been utilizing Python to unravel company difficulties for over 10 years.

Table of Contents

  1. The _init_() Method
  2. Integrating Seamlessly with simple Python specified Methods
  3. Attribute entry, homes, and Descriptors
  4. The ABCs of constant Design
  5. Using Callables and Contexts
  6. Creating Contrainers and Collections
  7. Creating Numbers
  8. Decorators and Mixins: Cross-Cutting Aspects
  9. Serializing and Saving JSON, YAML, Pickle, CSV, and XML
  10. Storing and Retrieving items through Shelve
  11. Storing and Retrieving gadgets through SQLite
  12. Transmitting and Sharing Objects
  13. Configuration records and Persistence
  14. The Logging and caution Modules
  15. Designing for Testability
  16. Coping with the Command Line

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Derivatives Analytics with Python: Data Analysis, Models, Simulation, Calibration and Hedging (The Wiley Finance Series)

Supercharge ideas analytics and hedging utilizing the ability of Python

Derivatives Analytics with Python exhibits you ways to enforce market-consistent valuation and hedging methods utilizing complex monetary types, effective numerical innovations, and the robust services of the Python programming language. This exact consultant deals specified causes of all concept, tools, and methods, supplying you with the history and instruments essential to worth inventory index concepts from a legitimate beginning. you can find and use self-contained Python scripts and modules and how to observe Python to complicated facts and derivatives analytics as you enjoy the 5,000+ traces of code which are supplied that will help you reproduce the consequences and pics offered. insurance contains industry info research, risk-neutral valuation, Monte Carlo simulation, version calibration, valuation, and dynamic hedging, with types that convey stochastic volatility, bounce parts, stochastic brief charges, and extra. The better half site beneficial properties all code and IPython Notebooks for fast execution and automation.

Python is gaining floor within the derivatives analytics house, permitting associations to quick and successfully carry portfolio, buying and selling, and probability administration effects. This booklet is the finance professional's consultant to exploiting Python's services for effective and appearing derivatives analytics.

  • Reproduce significant stylized evidence of fairness and innovations markets yourself
  • Apply Fourier remodel concepts and complex Monte Carlo pricing
  • Calibrate complex alternative pricing types to marketplace data
  • Integrate complex types and numeric how to dynamically hedge options

Recent advancements within the Python environment permit analysts to enforce analytics projects as acting as with C or C++, yet utilizing merely approximately one-tenth of the code or maybe much less. Derivatives Analytics with Python — facts research, types, Simulation, Calibration and Hedging indicates you what you must comprehend to supercharge your derivatives and possibility analytics efforts.

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Python For ArcGIS

This publication introduces Python scripting for geographic info technology (GIS) workflow optimization utilizing ArcGIS. It builds crucial programming abilities for automating GIS research. Over 2 hundred pattern Python scripts and one hundred seventy five classroom-tested routines toughen the educational pursuits. Readers will learn how to: • Write and run Python within the ArcGIS Python Window, the PythonWin IDE, and the PyScripter IDE • paintings with Python syntax and information forms • name ArcToolbox instruments, batch technique GIS datasets, and manage map records utilizing the arcpy package deal • learn and adjust proprietary and ASCII textual content GIS facts • Parse HTML web content and KML datasets • Create web content and fetch GIS facts from net assets. • construct user-interfaces with the local Python dossier conversation toolkit or the ArcGIS Script instruments and PyToolboxes Python for ArcGIS is designed as a major textbook for advanced-level scholars in GIS. Researchers, govt experts and pros operating in GIS also will locate this ebook valuable as a reference.

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Treading on Python Volume 2: Intermediate Python

By Matt Harrison

Treading on Python quantity 2: Intermediate Python

Matt Harrison

Do you need to take your Python to the following level?

Python is straightforward to benefit. you could examine the fundamentals in an afternoon and be
productive with it. yet there are extra complicated constructs that you
will finally run throughout for those who spend adequate time with it. Don't be careworn by way of those. research them, include them, and increase your code and others.

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Python and AWS Cookbook

By Mitch Garnaat

If you ought to use Amazon internet providers (AWS) for distant computing and garage, Python is a perfect programming language for constructing functions and controlling your cloud-based infrastructure. This cookbook will get you begun with greater than dozen recipes for utilizing Python with AWS, in keeping with the author’s boto library.

You’ll locate precise recipes for operating with the S3 garage provider in addition to EC2, the provider that allows you to layout and construct cloud functions. every one recipe features a code answer you should use instantly, in addition to a dialogue of why and the way the recipe works. you furthermore may get certain suggestion for utilizing boto with AWS and different cloud services.

This book’s recipes comprise the right way to aid you:

  • Launch cases on EC2, and maintain tune of them with tags
  • Associate an Elastic IP tackle with an instance
  • Restore a failed Elastic Block shop quantity from a snapshot
  • Store and computer screen your individual customized metrics in CloudWatch
  • Create a bucket in S3 to include your information objects
  • Reduce the price of storing noncritical data
  • Prevent unintended deletion of information in S3

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MongoDB and Python: Patterns and processes for the popular document-oriented database

By Niall O'Higgins

Learn the way to leverage MongoDB together with your Python purposes, utilizing the hands-on recipes during this ebook. You get whole code samples for initiatives equivalent to making quickly geo queries for location-based apps, successfully indexing your person records for social-graph lookups, and plenty of different scenarios.

This advisor explains the fundamentals of the document-oriented database and exhibits you ways to establish a Python atmosphere with it. the way to learn and write to MongoDB, follow idiomatic MongoDB and Python styles, and use the database with numerous well known Python internet frameworks. You’ll detect the right way to version your facts, write powerful queries, and stay away from concurrency difficulties similar to race stipulations and deadlocks.

The recipes may also help you:

  • Read, write, count number, and type files in a MongoDB collection
  • Learn the right way to use the wealthy MongoDB question language
  • Maintain information integrity in replicated/distributed MongoDB environments
  • Use embedding to successfully version your facts with out joins
  • Code defensively to prevent keyerrors and different bugs
  • Apply atomic operations to replace online game rankings, billing platforms, and extra with the short accounting pattern
  • Use MongoDB with the Pylons 1.x, Django, and Pyramid internet frameworks

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Beginning Python Visualization: Crafting Visual Transformation Scripts

We are visible animals. yet earlier than we will be able to see the realm in its actual attractiveness, our brains, similar to our desktops, need to type and manage uncooked information, after which rework that information to supply new pictures of the realm. Beginning Python Visualization: Crafting visible Transformation Scripts, moment version discusses turning many varieties of information resources, significant and small, into important visible facts. And, you'll research Python as a part of the bargain.

In this moment version you’ll know about Spyder, that is a Python IDE with MATLAB® -like positive aspects. right here and during the booklet, you’ll get particular publicity to the starting to be IPython venture for interactive visualization. additionally, you will find out about the adjustments in NumPy and Scipy that experience happened because the first variation. alongside the best way, you will get many guidelines and some visible examples.

As a part of this replace, you’ll know about matplotlib intimately; this comprises growing 3D graphs and utilizing the basemap package deal with a view to render geographical maps. ultimately, you are going to know about snapshot processing, annotating, and filtering, in addition to easy methods to make videos utilizing Python. This comprises studying how you can edit/open video documents and the way to create your personal motion picture, all with Python scripts.

Today's sizeable facts and computational scientists, monetary analysts/engineers and net builders – such as you - will locate this up-to-date booklet very correct.

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