Get Test- Driven Python Development PDF

By Siddharta Govindaraj

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

About This Book

  • Write strong and simply maintainable code utilizing the foundations of attempt pushed development
  • Get ideas to real-world difficulties confronted through 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 booklet Is For

This booklet is meant for Python builders who are looking to use the rules of test-driven improvement (TDD) to create effective and powerful purposes. with a view to get the easiest out of this publication, you'll have improvement event with Python.

What you are going to Learn

  • Implement the test-driven improvement procedure in Python applications
  • Fully leverage Python's strong integrated unittest and doctest modules
  • Effectively upload beneficial properties to current code bases that don't have any tests
  • Safely unravel issues of the code and layout, with no breaking any functionality
  • Utilize Python's robust mock and patch performance to check advanced interactions
  • Integrate unit trying out into the final software program supply process
  • Use doctest to check code with examples
  • Enhance TDD with the nose2 try out runner

In Detail

This ebook begins with a glance on the test-driven improvement technique, and the way it's assorted from the conventional approach of writing code. the entire thoughts are offered within the context of a true software that's built 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 venture and freshen up the smells that we find.

Additionally, we'll use mocking to enforce the elements of our instance undertaking that depend upon different structures. in the direction of the tip of the publication, we are going to have a look at the most typical styles and anti-patterns linked to test-driven improvement, together with integration of try effects into the improvement process.

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Python 2.1 Bible - download pdf or read online

By Dave Brueck, Stephen Tanner

The Python 2.1 Bible offers the single entire Python language reference out there and contains all of the details and software program that builders have to use Python as a quick software improvement tool.

The Python 2.1 Bible fills a severe void within the Python reference marketplace. even though it incorporates a entire Python language reference part, it really is nonetheless geared in the direction of these of you who have already got a few programming adventure. This ebook explains every piece of expertise intensive and exhibits via transparent examples why every one function comes in handy. this can be the handbook you've been looking ahead to -- the person who covers all significant Python parts with no glossing over how a number of the items healthy together.

From the again Cover
If Python 2.1 can do it, you are able to do it too ... jam-packed with crystal-clear causes, hands-on examples, and a whole language reference, this authoritative consultant offers all of the instruments you wish for fast software improvement with Python 2.1. From variables, expressions, and different fundamentals to XML, multimedia, and multithreading, Python professionals Dave Brueck and Stephen Tanner exhibit you step-by-step the right way to grasp Python parts, positioned them jointly, and create full-featured purposes - in virtually no time! within, you'll locate entire insurance of Python 2.1
* wake up to hurry on fundamentals with a short one-hour tutorial
* paintings with Python information forms, expressions, and object-oriented features
* make the most of Python working approach prone and database features
* Create Web-savvy purposes which can deal with net facts and parse XML
* construct graphical functions utilizing Tkinter and wxPython
* strategy sound and picture files
* Harness multithreading, encryption, tokenizing, and different complex techniques
* Use Python instruments to create number-crunching exercises and internationalized applications
* Distribute Python functions and modules on a home windows or UNIX system

About the Author
concerning the Authors Dave Brueck is a certified software program developer who likes to use Python every time attainable. His present tasks contain constructing networked video games, constructing Python interfaces to his stockbroker's C SDK, and plotting to overturn quite a few global governments. formerly Dave was once a contributing writer to 3D Studio Max R3 Bible by way of Kelly Murdock, released via Hungry Minds (formerly IDG Books Worldwide). Stephen Tanner is presently utilizing Python to construct a black-box software program checking out framework. His facet initiatives contain Python instruments to accomplish probabilistic derivatives-trading research, and to obtain mass amounts of .mp3s. other than their "real" jobs, Dave and Stephen get pleasure from convincing humans to pay them enormous greenbacks for consulting jobs.

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Python For Dummies - download pdf or read online

By Stef Maruch

Python is among the strongest, easy-to-read programming languages round, however it does have its barriers. This normal goal, high-level language that may be prolonged and embedded is a brilliant alternative for plenty of programming difficulties, yet a bad way to others.

Python For Dummies is the quick-and-easy advisor to getting the main out of this powerful application. This hands-on ebook will express you every little thing you must find out about development courses, debugging code, and simplifying improvement, in addition to defining what activities it will possibly practice. You’ll wrap your self round all of its complex gains and turn into knowledgeable Python consumer very quickly. This consultant delivers the instruments you would like to:

  • Master uncomplicated parts and syntax
  • Document, layout, and debug programs
  • Work with strings like a pro
  • Direct a application with keep an eye on structures
  • Integrate integers, complicated numbers, and modules
  • Build lists, stacks, and queues
  • Create an prepared dictionary
  • Handle features, info, and namespace
  • Construct purposes with modules and packages
  • Call, create, expand, and override classes
  • Access the web to reinforce your library
  • Understand the recent gains of Python 2.5

Packed with serious idioms and nice assets to maximise your productiveness, Python For Dummies is the last word one-stop details advisor. In a question of mins you’ll be accustomed to Python’s construction blocks, strings, dictionaries, and units; and be in your technique to writing this system that you’ve dreamed about!

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Megan Squire's Clean Data - Data Science Strategies for Tackling Dirty Data PDF

By Megan Squire

Key Features

  • Grow your info technology services by way of filling your toolbox with confirmed recommendations for a wide selection of cleansing challenges
  • Familiarize your self with the an important information cleansing approaches, and percentage your personal fresh information units with others
  • Complete real-world initiatives utilizing facts from Twitter and Stack Overflow

Book Description

Is a lot of it slow spent doing tedious initiatives corresponding to cleansing soiled facts, accounting for misplaced information, and getting ready info for use by way of others? if this is the case, then having the precise instruments makes a serious distinction, and should be an outstanding funding as you develop your info technology expertise.

The e-book begins through highlighting the significance of knowledge cleansing in information technology, and should make it easier to acquire rewards from reforming your cleansing procedure. subsequent, you are going to cement your wisdom of the fundamental innovations that the remainder of the ebook is determined by: dossier codecs, facts varieties, and personality encodings. additionally, you will methods to extract and fresh facts saved in RDBMS, net records, and PDF records, via functional examples.

At the top of the publication, you can be given an opportunity to take on a few real-world projects.

What you are going to learn

  • Understand the position of information cleansing within the total info technological know-how process
  • Learn the fundamentals of dossier codecs, information forms, and personality encodings to scrub facts properly
  • Master serious positive aspects of the spreadsheet and textual content editor for organizing and manipulating data
  • Convert facts from one universal layout to a different, together with JSON, CSV, and a few special-purpose formats
  • Implement 3 diverse suggestions for parsing and cleansing information present in HTML records at the Web
  • Reveal the mysteries of PDF files and the way to pull out simply the knowledge you want
  • Develop more than a few suggestions for detecting and cleansing undesirable information kept in an RDBMS
  • Create your individual fresh information units that may be packaged, approved, and shared with others
  • Use the instruments from this ebook to accomplish real-world initiatives utilizing info from Twitter and Stack Overflow

About the Author

Megan Squire is a professor of computing sciences at Elon college. She has been accumulating and cleansing soiled info for 2 a long time. She is additionally the chief of, a study venture to gather information and study it with the intention to learn the way unfastened, libre, and open resource software program is made.

Table of Contents

  1. Why do you want fresh Data?
  2. Fundamentals codecs, forms, and Encodings
  3. Workhorses of fresh info Spreadsheets and textual content Editors
  4. Speaking the Lingua Franca information Conversions
  5. Collecting and cleansing information from the Web
  6. Cleaning facts in Pdf Files
  7. RDBMS cleansing Techniques
  8. Best Practices for Sharing Your fresh Data
  9. Stack Overflow Project
  10. Twitter Project

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Get Lean Python: Learn Just Enough Python to Build Useful Tools PDF

By Paul Gerrard

Learn purely the basic elements of Python with no cluttering up your brain with beneficial properties you'll by no means use. This compact ebook isn't a "best strategy to write code" form of publication; really, the writer is going over his most-used features, that are all you must comprehend as a newbie and a few means beyond.

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

What you will Learn

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

Who This publication Is For
This ebook is geared toward 3 different types of reader: The skilled programmer – when you already recognize a programming language, this booklet grants 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 educated technical discussions with programmers. operating during the examples may help you to understand the problem of fine programming.
First-timer – you will have a primary booklet on programming that you should assimilate speedy that can assist you come to a decision no matter if programming is for you.

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Read e-book online Designing Machine Learning Systems with Python PDF

By David Julian

Layout effective computer studying structures that offer you extra exact results.

Machine studying is without doubt one of the largest tendencies that the realm of computing has visible. laptop studying platforms have a profound and fascinating skill to supply vital insights on an awesome number of functions, from ground-breaking and lifesaving clinical examine to getting to know basic actual facets of our universe; from delivering us with greater, purifier foodstuff to internet analytics and financial modeling. actually, there's rarely any sector of our lives that's not touched through this know-how not directly. every person desires to get into the sector of desktop studying, and on the way to receive adequate acceptance during this box, one needs to be capable of comprehend and layout a laptop studying procedure that serves the desires of a project.

What this booklet covers

Chapter 1, considering in computing device studying, will get you begun with the fundamentals of desktop studying, and because the name says, it's going to assist you imagine within the computer studying paradigm. you'll examine the layout rules and diverse types involved
in computing device learning.

Chapter 2, instruments and strategies, explains that Python comes outfitted with a wide library of applications for laptop studying initiatives. This bankruptcy provide you with a flavor
of a few large libraries. it is going to hide applications equivalent to NumPy, SciPy, Matplotlib,
and Scilit-learn.

Chapter three, Turning facts into info, explains that uncooked info might be in lots of assorted codecs and will be of various volume and caliber. occasionally, we're beaten by way of information, and occasionally we fight to get each final drop of data from our information. For info to turn into info, it calls for a few significant constitution. during this bankruptcy, we are going to introduce a few wide subject matters equivalent to huge info, information homes, facts assets, and knowledge processing and analysis.

Chapter four, versions – studying from details, takes you thru the logical models—
where we discover a logical language and create a speculation house mapping, tree
models – the place we are going to locate that they are often utilized to a variety of initiatives and
are either descriptive and straightforward to interpret; and rule versions – the place we talk about both
ordered rule checklist- and unordered rule set-based models.

Chapter five, Linear types, introduces some of the most time-honored versions that
forms the root of many complex nonlinear ideas, similar to support
vector machines and neural networks. during this bankruptcy, we'll learn a few of the
most customary suggestions in laptop studying. we are going to create hypothesis
representations for linear and logistic regression.

Chapter 6, Neural Networks, introduces the robust computer studying set of rules of
artificial neural networks. we'll see how those networks are a simplified model
of neurons within the brain.

Chapter 7, positive aspects – How Algorithms See the area, is going in the course of the differing kinds of
feature—the Quantitative, Ordinal, and express positive aspects. we'll additionally study the
Structured and reworking beneficial properties in detail.

Chapter eight, studying with Ensembles, explains the explanation in the back of the inducement for
creating computing device studying ensembles, which comes from transparent intuitions and is
grounded in a wealthy theoretical historical past. the kinds of laptop studying ensemble that
can be created are as different because the versions themselves, and the most considerations
revolve round 3 issues: how we divide our info, how we opt for the versions, and
the equipment we use to mix their results.

Chapter nine, layout thoughts and Case reports, appears at a few layout thoughts to ensure
your computer studying functions practice optimally. we are going to research version selection
and parameter tuning strategies, and practice them to a number of case reviews.

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Computational Methods for Bioinformatics. Python 3.4 by Jason Kinser PDF

By Jason Kinser

This textbook offers an creation for computational equipment in bioinformatics utilizing a spreadsheet, Python 3.4 and MySQL. equipment are proven to govern easy info and to execute universal analytical options. this article is designed for the biology scholar that has little or no event in desktop research.

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Download e-book for iPad: Python for Graph and Network Analysis by Mohammed Zuhair Al-Taie, Seifedine Kadry

By Mohammed Zuhair Al-Taie, Seifedine Kadry

This examine monograph presents the capacity to profit the idea and perform of graph and community research utilizing the Python programming language. The social community research recommendations, integrated, may also help readers to successfully learn social information from Twitter, fb, LiveJournal, GitHub and so forth at 3 degrees of intensity: ego, workforce, and neighborhood. they are going to be capable of examine militant and innovative networks and candidate networks in the course of elections. for example, they're going to learn the way the Ebola virus unfold via groups.

Practically, the ebook is appropriate for classes on social community research in all disciplines that use social technique. within the learn of social networks, social community research makes an attractive interdisciplinary study sector, the place computing device scientists and sociologists deliver their competence to a degree that would allow them to fulfill the demanding situations of this fast-developing box. laptop scientists have the information to parse and approach information whereas sociologists have the event that's required for effective information modifying and interpretation. Social community research has effectively been utilized in numerous fields akin to overall healthiness, cyber defense, company, animal social networks, info retrieval, and communications.

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Download PDF by Chuck Easttom: C++ Programming Fundamentals

By Chuck Easttom

This article teaches newcomers the fundamentals of C++ programming with no assuming earlier event in the other language. It encompasses a number of examples akin to video game programming, grade monitoring and regular calculation to make studying C++ enjoyable and useful.

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