Functional Python Programming by Steven Lott

By Steven Lott

Key Features

  • Implement universal useful programming layout styles and methods in Python
  • Learn the way to make a choice from critical and useful techniques according to expressiveness, readability, and performance
  • Apply sensible Python to universal Exploratory info research (EDA) programming problems
  • [/list]

    Book Description
    Python’s easy-to-learn and extensible skills supply a few sensible programming good points so that you can carry into your workflow, particularly within the realm of knowledge science.

    If you’re a Python developer who desires to detect how you can take the ability of sensible programming and convey it into your personal courses then this ebook is vital for you, whether you recognize subsequent to not anything concerning the paradigm. beginning with a basic review of useful innovations you’ll discover universal practical positive aspects resembling top quality and higher-order services, natural capabilities and extra, and the way those are complete in Python to provide you the middle foundations you’ll construct upon. After that, you’ll notice universal sensible optimizations for Python to assist your apps achieve even greater speeds. You'll additionally discover information instruction suggestions and information exploration intensive, besides studying how the Python typical library matches the practical programming version. ultimately, to refill your trip into the area of functionality Python you’ll at examine the PyMonad undertaking and a few better examples to place every little thing into perspective.

    With sensible Python Programming by means of your aspect you’ll comprehend the middle suggestions of functionality Python, its effect at the programming workflow, and the way to enforce it in Python, providing you with the power to take your functions to a fair greater level.

    What you are going to learn
    [list]

  • Use Python's generator capabilities and generator expressions to paintings with collections in a non-strict (or lazy) manner
  • Utilize Python library modules together with itertools, functools, multiprocessing, and concurrent.futures for effective useful programs
  • Use Python strings with object-oriented suffix notation and prefix notation
  • Avoid stateful periods by means of utilizing households of tuples
  • Design and enforce decorators to create composite functions
  • Use capabilities like max(), min(), map(), filter(), and sorted()
  • Write complicated higher-order functions

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 1000's of initiatives, from very small to huge. He's been utilizing Python to unravel company difficulties for over 10 years.

Table of Contents

  1. Introducing useful Programming
  2. Introducing a few useful Features
  3. Functions, Iterators, and Generators
  4. Working with Collections
  5. Higher-order Functions
  6. Recursions and Reductions
  7. Additional Tuple Techniques
  8. The Itertools Module
  9. More Itertools Techniques
  10. The Functools Module
  11. Decorator layout Techniques
  12. The Multiprocessing and Threading Modules
  13. Conditional Expressions and the Operator Module
  14. The Pymonad Library
  15. A sensible method of net Services
  16. Optimizations and Improvements

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OpenCV Computer Vision with Python by Joseph Howse

By Joseph Howse

Learn to catch movies, control photos, and song gadgets with Python utilizing the OpenCV Library

Overview
* manage OpenCV, its Python bindings, and non-compulsory Kinect drivers on home windows, Mac or Ubuntu
* Create an program that tracks and manipulates faces
* determine face areas utilizing general colour pictures and intensity images

In Detail

Computer imaginative and prescient can achieve shoppers in quite a few contexts through webcams, digicam telephones and gaming sensors like Kinect. OpenCV's Python bindings may help builders meet those patron calls for for functions that catch pictures, switch their visual appeal and extract info from them, in a high-level language and in a standardized facts layout that's interoperable with clinical libraries reminiscent of NumPy and SciPy.

"OpenCV machine imaginative and prescient with Python" is a realistic, hands-on consultant that covers the basic projects of machine vision—capturing, filtering and studying images—with step by step directions for writing either an software and reusable library classes.

"OpenCV desktop imaginative and prescient with Python" exhibits you ways to take advantage of the Python bindings for OpenCV. by means of following transparent and concise examples you'll boost a working laptop or computer imaginative and prescient program that tracks faces in dwell video and applies lighting tricks to them. when you have consistently desired to examine which model of those bindings to exploit, how one can combine with cross-platform Kinect drivers and and the way to successfully strategy photograph info with NumPy and SciPy then this e-book is for you.

What you are going to research from this book
* set up OpenCV and similar software program comparable to Python, NumPy, SciPy, OpenNI, and SensorKinect—all on home windows, Mac or Ubuntu
* trap, show, and store photographs and real-time videos
* deal with window occasions and enter occasions utilizing OpenCV's HighGui module or Pygame
* comprehend OpenCV's snapshot layout and the way to accomplish effective operations on OpenCV photographs with NumPy and SciPy
* follow "curves" and different colour adjustments to simulate the glance of previous images, video clips or video games
* practice an impression purely to edges in an image
* reproduction and resize segments of an image
* observe an impression simply to definite depths in a picture through the use of facts from a intensity sensor corresponding to Kinect
* song faces, eyes, noses and mouths by utilizing prebuilt datasets
* tune arbitrary items through developing unique datasets

Approach

A sensible, project-based educational for Python builders and hobbyists who are looking to start with desktop imaginative and prescient with OpenCV and Python.

Who this ebook is written for

OpenCV laptop imaginative and prescient with Python is written for Python builders who're new to computing device imaginative and prescient and wish a pragmatic consultant to educate them the necessities. a few figuring out of snapshot info (for instance, pixels and colour channels) will be worthwhile. At a minimal you'll want entry to 1 webcam. yes workouts require extra like a moment webcam, a Microsoft Kinect or an OpenNI-compliant intensity sensor equivalent to the Asus Xtion PRO.

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Clean Data by Megan Squire

By Megan Squire

Save time by means of gaining knowledge of easy innovations for cleansing, organizing, and manipulating your data

About This Book

  • Grow your info technological know-how services by way of filling your toolbox with confirmed options for a large choice of cleansing challenges
  • Familiarize your self with the the most important facts cleansing methods, and percentage your personal fresh info units with others
  • Complete real-world initiatives utilizing information from Twitter and Stack Overflow

Who This booklet Is For

If you're a facts scientist of any point, novices integrated, and attracted to cleansing up your facts, this is often the ebook for you! event with Python or personal home page is believed, yet no past wisdom of knowledge cleansing is needed.

In Detail

Is a lot of a while spent doing tedious projects reminiscent of cleansing soiled info, accounting for misplaced information, and getting ready facts for use via others? if that is so, then having the suitable instruments makes a serious distinction, and should be an excellent funding as you develop your facts technology expertise.

The booklet starts off via highlighting the significance of knowledge cleansing in info technology, and should assist you to obtain rewards from reforming your cleansing technique. subsequent, you'll cement your wisdom of the fundamental innovations that the remainder of the publication depends on: dossier codecs, information kinds, and personality encodings. additionally, you will the best way to extract and fresh facts kept in RDBMS, net documents, and PDF records, via useful examples.

At the tip of the e-book, you'll be given an opportunity to take on a number of real-world projects.

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Python for Data Analysis: Data Wrangling with Pandas, NumPy, by Wes McKinney

By Wes McKinney

Python for information Analysis is worried with the nuts and bolts of manipulating, processing, cleansing, and crunching info in Python. it's also a pragmatic, sleek advent to clinical computing in Python, adapted for data-intensive functions. it is a publication in regards to the elements of the Python language and libraries you'll have to successfully clear up a large set of knowledge research difficulties. This publication isn't really an exposition on analytical equipment utilizing Python because the implementation language.

Written by means of Wes McKinney, the most writer of the pandas library, this hands-on ebook is filled with functional situations stories. It's excellent for analysts new to Python and for Python programmers new to medical computing.
• Use the IPython interactive shell as your basic improvement environment
• examine easy and complex NumPy (Numerical Python) features
• start with information research instruments within the pandas library
• Use high-performance instruments to load, fresh, rework, merge, and reshape data
• Create scatter plots and static or interactive visualizations with matplotlib
• practice the pandas groupby facility to slice, cube, and summarize datasets
• degree information by means of closing dates, even if it's particular circumstances, fastened classes, or intervals
• the right way to resolve difficulties in internet analytics, social sciences, finance, and economics, via precise examples

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Python Pocket Reference (5th Edition) by Mark Lutz

By Mark Lutz

Up-to-date for either Python 3.4 and 2.7, this useful pocket consultant is definitely the right on-the-job quickly reference. You'll locate concise, need-to-know details on Python varieties and statements, precise approach names, integrated capabilities and exceptions, favourite normal library modules, and different popular Python instruments. The convenient index enables you to pinpoint precisely what you need.

Written by way of Mark Lutz—widely well-known because the world's top Python trainer—Python Pocket Reference is a perfect better half to O'Reilly's vintage Python tutorials, Learning Python and Programming Python, additionally written by way of Mark.

This 5th version covers:
• integrated item forms, together with numbers, lists, dictionaries, and more
• Statements and syntax for growing and processing objects
• services and modules for structuring and reusing code
• Python's object-oriented programming tools
• integrated capabilities, exceptions, and attributes
• particular operator overloading methods
• commonplace commonplace library modules and extensions
• Command-line ideas and improvement tools
• Python idioms and hints
• The Python SQL Database API

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Python and AWS by Mitch Garnaat

By Mitch Garnaat

Should you intend to exploit Amazon net 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 response to the author’s boto library.You’ll locate special 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 contains a code answer you should use instantly, in addition to a dialogue of why and the way the recipe works. you furthermore mght get targeted suggestion for utilizing boto with AWS and different cloud companies. This book’s recipes contain the way to aid you:Launch cases on EC2, and retain music of them with tags affiliate an Elastic IP deal with with an example repair a failed Elastic Block shop quantity from a picture shop and video display your personal customized metrics in CloudWatch Create a bucket in S3 to include your info gadgets lessen the price of storing noncritical information hinder unintended deletion of information in S3

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Salt Essentials by Craig Sebenik, Thomas Hatch

By Craig Sebenik, Thomas Hatch

Get an entire creation to Salt, the commonly used Python-based configuration administration and distant execution instrument. This useful advisor not just exhibits method directors the way to deal with advanced infrastructures with Salt, but additionally teaches builders tips to use Salt to installation and deal with their applications.

Written via Salt specialists, this booklet presents the data you want to install Salt in a construction infrastructure straight away. You'll additionally the way to customise Salt and use salt-cloud to regulate your virtualization. when you've got adventure with Linux and information codecs reminiscent of JSON or XML, you're able to get started.

- comprehend what Salt can do, and get a high-level assessment of uncomplicated commands
- find out how execution modules allow you to engage with many structures at once
- Use states to outline the way you desire a host or a collection of hosts to look
- Dive into grains and pillars, Salt's uncomplicated information elements
- keep an eye on your infrastructure programmatically by way of extending Salt Master's functionality
- expand Salt with customized modules, the Jinja templating language, and Python scripts

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The Self-taught Programmer: The Definitive Guide to by Cory Althoff

By Cory Althoff

I'm a self-taught programmer. After a yr of self-study, I discovered to software good adequate to land a role as a software program engineer II at eBay. as soon as I acquired there, i noticed i used to be critically under-prepared. i used to be beaten through the volume of items i wished to grasp yet hadn't realized but. My trip studying to application, and my adventure at my first task as a software program engineer have been the foundation for this booklet.

This e-book isn't just approximately studying to software; even if you are going to discover ways to code. that allows you to application professionally, it's not adequate to benefit to code; this is why, as well as aiding you discover ways to software, I additionally hide the remainder of the belongings you want to know to application professionally that periods and books do not educate you. "The Self-taught Programmer" is a roadmap, a consultant to take you from writing your first Python software, to passing your first technical interview. I divided the publication into six sections:

1. learn how to application in Python three and construct your first software.
2. study Object-oriented programming and create a robust Python application to get you hooked.
3. learn how to use instruments like Git, Bash, typical expressions and databases. Then use your new coding talents to construct an internet scraper.
4. examine computing device technology basics together with machine structure, info buildings, algorithms and community programming.
5. learn how to software for construction: I hide the software program improvement approach, trying out, and top coding practices.
6. end with assistance for operating with a staff and touchdown a programming job.

You CAN learn how to software professionally. the trail is there. Will you are taking it?

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Your Code as a Crime Scene: Use Forensic Techniques to by Adam Tornhill

By Adam Tornhill

Jack the Ripper and legacy codebases have extra in universal than you'd imagine. encouraged via forensic psychology equipment, you'll research innovations to foretell the way forward for your codebase, verify refactoring course, and know how your workforce impacts the layout. With its particular combination of forensic psychology and code research, this booklet hands you with the recommendations you wish, it doesn't matter what programming language you use.

Software is a residing entity that's consistently altering. to appreciate software program structures, we have to be aware of the place they got here from and the way they developed. by way of mining dedicate information and reading the historical past of your code, you can begin fixes prior to time to dispose of damaged designs, upkeep concerns, and group productiveness bottlenecks.

In this booklet, you'll examine forensic psychology concepts to effectively keep your software program. You'll create a geographic profile out of your devote facts to discover hotspots, and practice temporal coupling strategies to discover hidden relationships among unrelated parts on your code. You'll additionally degree the effectiveness of your code advancements. You'll easy methods to practice those innovations on initiatives either huge and small. For small tasks, you'll get new insights into your layout and the way good the code matches your principles. for big tasks, you'll determine the great and the delicate parts.

Large-scale improvement can be a social job, and the team's dynamics impact code caliber. That's why this ebook exhibits you ways to discover social biases whilst reading the evolution of your process. You'll use dedicate messages as eyewitness bills to what's quite occurring on your code. eventually, you'll placed all of it jointly by way of monitoring organizational difficulties within the code and checking out find out how to repair them. Come subscribe to the quest for greater code!

What You Need:

You desire Java 6 and Python 2.7 to run the accompanying research instruments. you furthermore mght desire Git to keep on with besides the examples.

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