Download Python Data Analytics: Data Analysis and Science Using by Fabio Nelli PDF

By Fabio Nelli

ISBN-10: 1484209583

ISBN-13: 9781484209585

ISBN-10: 1484209591

ISBN-13: 9781484209592

Python info Analytics can assist you take on the realm of information acquisition and research utilizing the facility of the Python language. on the middle of this e-book lies the insurance of pandas, an open resource, BSD-licensed library supplying high-performance, easy-to-use information constructions and knowledge research instruments for the Python programming language.
Author Fabio Nelli expertly indicates the energy of the Python programming language while utilized to processing, dealing with and retrieving info. inside of, you will discover how intuitive and versatile it really is to find and speak significant styles of information utilizing Python scripts, reporting platforms, and information export. This booklet examines how you can pass approximately acquiring, processing, storing, coping with and reading information utilizing the Python programming language.
You will use Python and different open resource instruments to wrangle facts and tease out attention-grabbing and significant tendencies in that facts that would let you expect future

styles. no matter if you're facing revenues info, funding facts (stocks, bonds, etc.), clinical information, online page utilization, or the other form of information set, Python can be utilized to interpret, learn, and glean info from a pile of numbers and statistics. 

This e-book is a useful reference with its examples of storing and gaining access to info in a database; it walks you thru the method of document iteration; it presents 3 actual global case experiences or examples so that you can take with you to your daily research needs.

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Download Odoo Development Essentials by Daniel Reis PDF

By Daniel Reis

ISBN-10: 1784392103

ISBN-13: 9781784392109

Odoo is a robust and fast-growing enterprise program platform. starting with constructing the advance setting, this booklet will then advisor you thru a pragmatic trip to construct feature-rich company applications.

With the purpose of jumpstarting your Odoo skillability point, from no particular wisdom to program improvement readiness, you may be set at the course of constructing your first Odoo program. Then, you are going to movement directly to themes akin to types and perspectives and knowing and utilizing server APIs so as to add enterprise good judgment, with a purpose to lay a superior origin for complicated topics.

The publication concludes with a advisor to Odoo interplay and the way to take advantage of the Odoo API from different courses, all of with a view to assist you successfully combine purposes with different exterior systems.</p>

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Download Learning SciPy for Numerical and Scientific Computing by Francisco J. Blanco-Silva PDF

By Francisco J. Blanco-Silva

ISBN-10: 1782161627

ISBN-13: 9781782161622

It's necessary to include workflow information and code from a variety of assets so as to create quickly and potent algorithms to resolve complicated difficulties in technological know-how and engineering. information is coming at us speedier, dirtier, and at an ever expanding fee. there isn't any have to hire difficult-to-maintain code, or dear mathematical engines to resolve your numerical computations anymore. SciPy promises speedy, exact, and easy-to-code recommendations for your numerical and clinical computing applications.

"Learning SciPy for Numerical and clinical Computing" unveils secrets and techniques to a couple of the main severe mathematical and clinical computing difficulties and should play an instrumental function in assisting your study. The booklet will train you the way to speedy and successfully use diversified modules and workouts from the SciPy library to hide the monstrous scope of numerical arithmetic with its simplistic functional procedure that's effortless to follow.

The booklet starts off with a quick description of the SciPy libraries, exhibiting functional demonstrations for buying and fitting them in your procedure. this is often through the second one bankruptcy that is a enjoyable and fast paced primer to array production, manipulation, and problem-solving in keeping with those techniques.

The remainder of the chapters describe using all assorted modules and exercises from the SciPy libraries, in the course of the scope of alternative branches of numerical arithmetic. every one vast box is represented: numerical research, linear algebra, facts, sign processing, and computational geometry. And for every of those fields all probabilities are illustrated with transparent syntax, and lots of examples. The booklet then provides combos of a lot of these ideas to the answer of analysis difficulties in real-life situations for various sciences or engineering — from photo compression, organic category of species, regulate thought, layout of wings, to structural research of oxides.

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Download Python for Unix and Linux System Administration by Noah Gift, Jeremy M. Jones PDF

By Noah Gift, Jeremy M. Jones

ISBN-10: 0596515820

ISBN-13: 9780596515829

Python is a perfect language for fixing difficulties, specifically in Linux and Unix networks. With this pragmatic publication, directors can overview a number of initiatives that regularly happen within the administration of those structures, and find out how Python grants a extra effective and not more painful method to deal with them.

Each bankruptcy in Python for Unix and Linux procedure management provides a selected administrative factor, corresponding to concurrency or information backup, and offers Python suggestions via hands-on examples. when you end this publication, you'll be capable to boost your individual set of command-line utilities with Python to take on quite a lot of difficulties. detect how this language can assist you:

* learn textual content records and extract information
* Run projects simultaneously utilizing the threading and forking options
* Get info from one approach to a different utilizing community facilities
* Create clickable GUIs to deal with huge and intricate utilities
* visual display unit huge clusters of machines by means of interacting with SNMP programmatically
* grasp the IPython Interactive Python shell to exchange or increase Bash, Korn, or Z-Shell
* combine Cloud Computing into your infrastructure, and learn how to write a Google App Engine Application
* resolve distinct information backup demanding situations with custom-made scripts
* engage with MySQL, SQLite, Oracle, Postgres, Django ORM, and SQLAlchemy

With this e-book, you'll tips on how to package deal and installation your Python functions and libraries, and write code that runs both good on a number of Unix systems. You'll additionally know about numerous Python-related applied sciences that might make your existence a lot easier.

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Download 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 began with renowned Python libraries in accordance with the critical strategies of knowledge visualization

About This Book
Learn tips to arrange an optimum Python setting for information visualization
Understand the way to import, fresh and arrange your data
Determine diversified ways to info visualization and the way to decide on the main applicable on your needs
Who This e-book Is For
If you realize approximately Python programming and wish to appreciate facts, information codecs, facts visualization, and the way to take advantage of Python to imagine info then this ebook is for you.

What you'll Learn
Introduce your self to the fundamental tooling to establish your operating environment
Explore your information utilizing the features of ordinary Python facts Library and Panda Library
Draw your first chart and customise it
Use the most well-liked information visualization Python libraries
Make 3D visualizations more often than not utilizing mplot3d
Create charts with pictures and maps
Understand the main applicable charts to explain your data
Know the matplotlib hidden gems
Use to percentage your visualization online

In Detail
Python information Visualization Cookbook will growth the reader from the purpose of putting in and establishing a Python surroundings for info manipulation and visualization the entire option to 3D animations utilizing Python libraries. Readers will take advantage of over 60 designated and reproducible recipes that might consultant the reader in the direction of a greater figuring out of information techniques and the development blocks for next and infrequently extra complicated concepts.
Python info Visualization Cookbook starts off via exhibiting the right way to organize matplotlib and the comparable libraries which are required for many elements of the publication, sooner than relocating directly to speak about a number of the lesser-used diagrams and charts resembling Gantt Charts or Sankey diagrams. in the beginning it makes use of basic plots and charts to extra complicated ones, to make it effortless to appreciate for readers. because the readers will battle through the publication, they'll get to understand in regards to the 3D diagrams and animations. Maps are irreplaceable for showing geo-spatial information, so this ebook also will convey the way to construct them. within the final bankruptcy, it comprises clarification on how you can include matplotlib into diverse environments, comparable to a writing approach, LaTeX, or easy methods to create Gantt charts utilizing Python.

Style and approach
A step by step recipe established method of facts visualization. the themes are defined sequentially as cookbook recipes inclusive of a code snippet and the ensuing visualization.

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Download Test-Driven Development with Python by Harry J. W. Percival PDF

By Harry J. W. Percival

ISBN-10: 1449365175

ISBN-13: 9781449365172

By means of taking you thru the advance of a true net software from commencing to finish, this hands-on advisor demonstrates the sensible benefits of test-driven improvement (TDD) with Python. You'll how you can write and run assessments earlier than construction every one a part of your app, after which increase the minimal volume of code required to cross these checks. the outcome? fresh code that works.

In the method, you'll research the fundamentals of Django, Selenium, Git, jQuery, and ridicule, in addition to present net improvement innovations. If you're able to take your Python talents to the following point, this ebook sincerely demonstrates how TDD encourages uncomplicated designs and conjures up confidence.
• Dive into the TDD workflow, together with the unit test/code cycle and refactoring
• Use unit checks for sessions and features, and useful checks for person interactions in the browser
• research whilst and the way to take advantage of mock gadgets, and the professionals and cons of remoted vs. built-in tests
• try and automate your deployments with a staging server
• practice assessments to the third-party plugins you combine into your site
• Use a continuing Integration surroundings to run your checks instantly

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Download Guide to Learning Python Decorators by Matt Harrison PDF

By Matt Harrison

Decorators are beautiful universal in Python. whereas no longer strictly helpful, they could decrease code measurement whereas permitting keep watch over of functionality enter, invocation and output. Many factors of decorators are short and depart the reader a bit of harassed. This booklet is an try to therapy that. it truly is dependent off of renowned tutorials given at PyCon and Python consumer teams. with out fail, attendees point out that "decorators now make sense". not just do they comprehend them, yet they could write them to boot.

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Download Mastering Python by Rick van Hattem PDF

By Rick van Hattem

ISBN-10: 1785289721

ISBN-13: 9781785289729

Master the artwork of writing appealing and strong Python by utilizing all the positive factors that Python 3.5 offers

About This Book

  • Become acquainted with an important and complicated elements of the Python code style
  • Learn the trickier facets of Python and positioned it in a based context for deeper figuring out of the language
  • Offers an expert's-eye evaluation of the way those complex projects healthy jointly in Python as an entire in addition to functional examples

Who This booklet Is For

Almost an individual can learn how to write operating script and create top of the range code yet they may lack a dependent figuring out of what it capability to be 'Pythonic'. when you are a Python programmer who desires to code successfully through getting the syntax and utilization of some problematic Python innovations precisely correct, this booklet is for you.

What you are going to Learn

  • Create a virtualenv and begin a brand new project
  • Understand how and while to exploit the useful programming paradigm
  • Get accustomed to the various methods the decorators will be written in
  • Understand the ability of turbines and coroutines with out digressing into lambda calculus
  • Create metaclasses and the way it makes operating with Python some distance easier
  • Generate HTML documentation out of files and code utilizing Sphinx
  • Learn find out how to song and optimize software functionality, either reminiscence and cpu
  • Use the multiprocessing library, not only in the neighborhood but in addition throughout a number of machines
  • Get a easy realizing of packaging and growing your individual libraries/applications

In Detail

Python is a dynamic programming language. it really is identified for its excessive clarity and accordingly it's always the 1st language realized by way of new programmers. Python being multi-paradigm, it may be used to accomplish an identical factor in numerous methods and it's appropriate throughout assorted structures. no matter if you discover writing Python code effortless, writing code that's effective, effortless to take care of, and reuse isn't so straightforward.

This ebook is an authoritative consultant to help you examine new complex tools in a transparent and contextualised manner. It starts through making a project-specific atmosphere utilizing venv, introducing you to diversified Pythonic syntax and customary pitfalls prior to relocating directly to disguise the useful beneficial properties in Python. It covers find out how to create varied decorators, turbines, and metaclasses. It additionally introduces you to functools.wraps and coroutines and the way they paintings. afterward you are going to learn how to use asyncio module for asynchronous consumers and servers. additionally, you will get accustomed to diverse trying out platforms similar to py.test, doctest, and unittest, and debugging instruments resembling Python debugger and faulthandler. you'll learn how to optimize program functionality in order that it really works successfully throughout a number of machines and Python types. ultimately, it's going to train you ways to entry C capabilities with an easy Python name. by means of the top of the booklet, it is possible for you to to jot down extra complicated scripts and tackle higher challenges.

Style and Approach

This booklet is a complete advisor that covers complex positive factors of the Python language, and converse them with an authoritative figuring out of the underlying cause for a way, while, and why to take advantage of them.

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Download The Python Quick Syntax Reference by Gregory Walters PDF

By Gregory Walters

ISBN-10: 1430264780

ISBN-13: 9781430264781

ISBN-10: 1430264799

ISBN-13: 9781430264798

The Python speedy Syntax Reference is the «go to» publication that comprises a simple to learn and useguide to Python programming and improvement. This condensed code and syntaxreference provides the Python language in a well-organized layout designed tobe used time and again.
You wont locate jargon, bloated samples, case stories, or historical past of hi Worldand machine thought during this convenient reference. This Python syntax reference ispacked with helpful details and is a must have for any Python developer.

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Download Building Web Applications with Python and Neo4j by Sumit Gupta PDF

By Sumit Gupta

ISBN-10: 1783983981

ISBN-13: 9781783983988

Increase fascinating real-world Python-based net purposes with Neo4j utilizing frameworks comparable to Flask, Py2neo, and Django
About This Book

increase a collection of universal purposes and strategies with Neo4j and Python
safe and set up the Neo4j database in production
A step by step advisor on imposing and deploying interactive Python-based net functions on graph info model

Who This e-book Is For

If you're a Python developer and wish to extend your realizing of Python-based net purposes over Neo4j graph info types, this can be the booklet for you.
What you are going to Learn

comprehend the licensing and install of the Neo4j database and paintings with its quite a few instruments and utilities
research the intricacies of Cypher as a graph question language
paintings with Cypher to create and regulate graph facts models
combine Python and Neo4j utilizing Py2neo
enhance REST-based prone over social community info utilizing Flask and item graph types over Neo4j
combine Django-based net functions over graph facts versions utilizing Neomodel
discover various deployment types and their applicability with present applications

In Detail

Py2neo is an easy and pragmatic Python library that gives entry to the preferred graph database Neo4j through its RESTful internet carrier interface. This brings with it a seriously refactored center, a purifier API, higher functionality, and a few new idioms.

You will start with licensing and fitting Neo4j, studying the basics of Cypher as a graph question language, and exploring Cypher optimizations. you can find how one can combine with numerous Python frameworks similar to Flask and its extensions: Py2neo, Neomodel, and Django. ultimately, the deployment facets of your Python-based Neo4j purposes in a creation atmosphere is additionally coated. via sequentially operating throughout the steps in every one bankruptcy, you are going to fast examine and grasp many of the implementation information and integrations of Python and Neo4j, aiding you to strengthen your use circumstances extra fast.

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