Download E-books Python Requests Essentials PDF

Learn tips on how to combine your purposes seamlessly with internet companies utilizing Python Requests

About This Book

  • A fast paced advisor that demonstrates using Python Requests with the aid of examples
  • Learn net scraping with appealing Soup and Python Requests libraries
  • Interact with social networking websites resembling fb, Twitter, and Reddit to retrieve information from them

Who This booklet Is For

If you're a Python administrator or developer drawn to interacting with internet APIs and feature a fondness for developing your personal net purposes, this can be the publication for you. easy wisdom of Python programming, APIs, and net prone can be an advantage.

What you are going to Learn

  • Demonstrate using Python Requests with assistance from examples
  • Use the Requests module to house the interior sections of the request-response cycles
  • Implement the RESTful net API with Python Requests
  • Authenticate Requests utilizing various authentication methods
  • Emulate server activities and have interaction with a ridicule server
  • Interact with social networking websites comparable to fb, Twitter, and reddit
  • Scrape the internet with Python Requests and BeautifulSoup
  • Build your personal net software with Flask

In Detail

Python is among the most well liked programming languages of our period; the Python Requests library is without doubt one of the world's most sensible consumers, with the top variety of downloads. It permits effortless interactions with net functions utilizing basic procedures.

You might be proven tips on how to mock HTTP Requests utilizing HTTPretty, and may learn how to have interaction with social media utilizing Requests. This booklet might help you to understand the paintings of net scraping with the BeautifulSoup and Python Requests libraries, and may then paddle you thru Requests amazing skill to engage with APIs. it is going to empower you with the simplest practices for seamlessly drawing info from net apps. final yet no longer least, you'll get the opportunity to shine your abilities via imposing a RESTful net API with Python and Flask!

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Download E-books Programming Python PDF

By Mark Lutz

If you've gotten mastered Python's basics, you are prepared to begin utilizing it to get actual paintings performed. Programming Python will exhibit you ways, with in-depth tutorials at the language's fundamental software domain names: procedure management, GUIs, and the net. you are going to additionally discover how Python is utilized in databases, networking, front-end scripting layers, textual content processing, and extra. This booklet specializes in prevalent instruments and libraries to offer you a complete knowing of Python’s many jobs in sensible, real-world programming.

You'll examine language syntax and programming strategies in a transparent and concise demeanour, with plenty of examples that illustrate either right utilization and customary idioms. thoroughly up to date for model 3.x, Programming Python additionally delves into the language as a software program improvement device, with many code examples scaled in particular for that purpose.

Topics include:

  • Quick Python tour: construct an easy demo that incorporates information illustration, object-oriented programming, item endurance, GUIs, and web site basics
  • System programming: discover method interface instruments and methods for command-line scripting, processing documents and folders, working courses in parallel, and more
  • GUI programming: learn how to use Python’s tkinter widget library
  • Internet programming: entry client-side community protocols and e mail instruments, use CGI scripts, and examine web site implementation techniques
  • More how one can follow Python: enforce information buildings, parse text-based info, interface with databases, and expand and embed Python

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Download E-books MongoDB and Python: Patterns and processes for the popular document-oriented database PDF

By Niall O'Higgins

Learn how you can leverage MongoDB along with your Python functions, utilizing the hands-on recipes during this publication. You get whole code samples for initiatives reminiscent of making quick geo queries for location-based apps, successfully indexing your consumer files for social-graph lookups, and plenty of different scenarios.

This consultant explains the fundamentals of the document-oriented database and indicates you the way to establish a Python surroundings with it. easy methods to learn and write to MongoDB, practice idiomatic MongoDB and Python styles, and use the database with a number of renowned Python net frameworks. You’ll notice tips to version your information, write potent queries, and keep away from concurrency difficulties equivalent to race stipulations and deadlocks.

The recipes might help you:

  • Read, write, count number, and type records in a MongoDB collection
  • Learn how one can use the wealthy MongoDB question language
  • Maintain info integrity in replicated/distributed MongoDB environments
  • Use embedding to successfully version your information with no joins
  • Code defensively to prevent keyerrors and different bugs
  • Apply atomic operations to replace video game rankings, billing structures, and extra with the short accounting pattern
  • Use MongoDB with the Pylons 1.x, Django, and Pyramid net frameworks

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Download E-books Expert Python Programming: Best practices for designing, coding, and distributing your Python software PDF

By Tarek Ziadé

Professional Python Programming indicates how Python improvement could be performed with top practices and professional layout counsel. This e-book is for Python builders who're already construction functions, yet are looking to construct higher ones by way of using top practices and new improvement suggestions to their tasks. The reader is predicted to have a valid historical past in Python programming.

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Download E-books Introduction to Computation and Programming Using Python: With Application to Understanding Data (MIT Press) PDF

This publication introduces scholars with very little past programming event to the paintings of computational challenge fixing utilizing Python and diverse Python libraries, together with PyLab. It presents scholars with talents that would permit them to make efficient use of computational thoughts, together with a few of the instruments and methods of knowledge technological know-how for utilizing computation to version and interpret info. The booklet relies on an MIT path (which turned the preferred path provided via MIT's OpenCourseWare) and was once constructed to be used not just in a traditional school room yet in in a tremendous open on-line path (MOOC). This re-creation has been up to date for Python three, reorganized to provide help to use for classes that conceal just a subset of the fabric, and provides extra fabric together with 5 new chapters.

Students are brought to Python and the fundamentals of programming within the context of such computational ideas and methods as exhaustive enumeration, bisection seek, and effective approximation algorithms. even though it covers such conventional subject matters as computational complexity and easy algorithms, the ebook specializes in quite a lot of issues no longer present in such a lot introductory texts, together with details visualization, simulations to version randomness, computational concepts to appreciate information, and statistical strategies that tell (and mislead) in addition to similar yet quite complicated themes: optimization difficulties and dynamic programming. This version deals multiplied fabric on information and desktop studying and new chapters on Frequentist and Bayesian statistics.

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Download E-books Python and AWS Cookbook PDF

By Mitch Garnaat

If you want to use Amazon net providers (AWS) for distant computing and garage, Python is a perfect programming language for constructing purposes and controlling your cloud-based infrastructure. This cookbook will get you began 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 carrier that permits you to layout and construct cloud purposes. each one recipe features a code answer you should use instantly, besides a dialogue of why and the way the recipe works. you furthermore may get designated suggestion for utilizing boto with AWS and different cloud services.

This book’s recipes contain tips on how to aid you:

  • Launch circumstances on EC2, and continue tune of them with tags
  • Associate an Elastic IP handle with an instance
  • Restore a failed Elastic Block shop quantity from a snapshot
  • Store and visual display unit your individual customized metrics in CloudWatch
  • Create a bucket in S3 to comprise your information objects
  • Reduce the price of storing noncritical data
  • Prevent unintentional deletion of information in S3

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Download E-books Scikit-Learn Cookbook PDF

By Trent Hauck

Over 50 recipes to include scikit-learn into each step of the information technological know-how pipeline, from function extraction to version construction and version evaluation

About This Book

  • Learn the best way to deal with various initiatives with Scikit-Learn with attention-grabbing recipes that express you the way the library fairly works
  • Use Scikit-Learn to simplify the programming facet info so that you can specialize in thinking
  • Discover easy methods to observe algorithms in numerous situations

Who This ebook Is For

If you are a information scientist already conversant in Python yet now not Scikit-Learn, or are accustomed to different programming languages like R and wish to make the leap with the ultimate of Python laptop studying libraries, then this can be the e-book for you.

What you'll Learn

  • Address algorithms of assorted degrees of complexity and find out how to research information on the related time
  • Handle universal information difficulties corresponding to function extraction and lacking data
  • Understand find out how to evaluation your versions opposed to themselves and the other model
  • Discover simply enough math had to the right way to take into consideration the connections among quite a few algorithms
  • Customize the computer studying set of rules to suit your challenge, and methods to regulate it whilst the location demands it
  • Incorporate different applications from the Python surroundings to munge and visualize your dataset

In Detail

Python is instantly changing into the go-to language for analysts and information scientists because of its simplicity and adaptability, and in the Python facts house, scikit-learn is the unequivocal selection for laptop studying. Its constant API and plethora of positive aspects aid resolve any laptop studying challenge it comes across.

The booklet starts off by way of jogging via assorted how you can organize your data—be it a dataset with lacking values or textual content columns that require the types to be became indicator variables. After the knowledge is prepared, you will research diversified options aligned with varied objectives—be it a dataset with identified results reminiscent of revenues by way of nation, or extra complex difficulties resembling clustering related consumers. eventually, you are going to polish your set of rules to make sure that it really is either actual and resilient to new datasets.

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Download E-books Designing Machine Learning Systems with Python PDF

Design effective desktop studying structures that provide you with extra exact results

About This Book

  • Gain an figuring out of the laptop studying layout process
  • Optimize computer studying structures for more advantageous accuracy
  • Understand universal programming instruments and strategies for computing device learning
  • Develop options and methods for facing quite a lot of information from quite a few sources
  • Build types to resolve exact tasks

Who This e-book Is For

This ebook is for info scientists, scientists, or simply the curious. To get the main out of this publication, it is important to recognize a few linear algebra and a few Python, and feature a easy wisdom of computing device studying concepts.

What you are going to Learn

  • Gain an figuring out of the computing device studying layout process
  • Optimize the mistake functionality of your computer studying system
  • Understand the typical programming styles utilized in computing device learning
  • Discover optimizing recommendations to help you get the main out of your data
  • Find out how one can layout types uniquely suited for your task

In Detail

Machine studying is likely one of the quickest transforming into traits in smooth computing. It has functions in a variety of fields, together with economics, the common sciences, net improvement, and company modeling. that allows you to harness the facility of those platforms, it's crucial that the practitioner develops a superb realizing of the underlying layout principles.

There are many explanation why laptop studying types would possibly not supply exact effects. by means of those structures from a layout viewpoint, we achieve a deeper knowing of the underlying algorithms and the optimisational equipment which are on hand. This ebook offers you an outstanding beginning within the computing device studying layout approach, and assist you construct customised laptop studying types to resolve distinct difficulties. you could already learn about, or have labored with, the various off-the-shelf computer studying versions for fixing universal difficulties akin to junk mail detection or motion picture category, yet to start fixing extra advanced difficulties, it is very important adapt those types on your personal particular wishes. This publication provides you with this figuring out and more.

Style and approach

This easy-to-follow, step by step advisor covers an important laptop studying types and strategies from a layout perspective.

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Download E-books Foundations of Agile Python Development (Expert's Voice in Open Source) PDF

By Jeff Younker

You’ve lengthy been enamored with the Python language, and feature mastered its many nuances. but whatever appears to be like missing—a productiveness enhance that you simply comprehend is feasible yet you’re uncertain tips to cross approximately it. This used to be the sentiment of such a lot of builders earlier than getting to know Agile programming paradigm, which embraces ideas comparable to automation, powerful code administration, and test–driven development.

Foundations of Agile Python Development is the 1st e-book to use those sought–after rules to Python builders, introducing either the instruments and methods equipped and supported by means of the Python group. Authored via Jeff Younker, a well–known member of Python’s agile group who's probably top identified for his construction of a favored Python checking out framework, this publication is bound to be successful between readers who could have reached their limits of information in regards to the Python language, but are seeking for to enhance their figuring out of the way sound procedures can enhance productiveness to exceptional heights.

What you’ll learn

  • Understand why the Agile flow is expanding productiveness and reducing programmer pressure the realm around
  • Use Eclipse and Subversion so as to add a complete new point of potency in your day-by-day programming activities
  • Change your point of view on trying out from an important evil to a compelling and an important a part of your improvement process
  • Automate your construct method, taking out a lot of the tedium surrounding trying out and deployment tasks

Who this ebook is for

Python builders looking to benefit from effective developer instruments and strategies to spice up productiveness.

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Download E-books Mastering Object-oriented Python PDF

Key Features

  • Create functions with versatile logging, robust configuration and command-line innovations, automatic unit assessments, and sturdy documentation
  • Use the Python specified easy methods to combine seamlessly with integrated gains 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 promises a way more fully-realised adventure of the language. the flexibleness and tool 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 progressively more advanced and data-intensive software improvement, making tricky initiatives even more attainable. This booklet has been designed to make this subtle method of programming more uncomplicated to benefit fast, supplying you with a transparent and coherent studying journey.

Beginning through quite a number layout styles for the _init_() process, you are going to successfully use quite a number Python s designated the right way to create sessions that combine with Python s integrated positive aspects, and locate certain 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 e-book additionally good points details that demonstrates easy methods to create power gadgets utilizing JSON, YAML, Pickle, CSV, XML, Shelve and SQL and exhibits you ways to transmit items among procedures. Going extra into OOP, you ll locate specialist info on logging, warnings, unit checking out in addition to operating with the command line.

Structured in three elements to make the complexity of OOP extra plausible - Pythonic sessions through designated tools, endurance and Serialization and trying out, Debugging, Deploying, and conserving this booklet deals deep perception into OOP to help you improve professional point object-oriented Python skills.

What you are going to learn

  • Create functions with versatile logging, robust configuration and command-line ideas, computerized unit assessments, and strong documentation
  • Get to grips with various layout styles for the __init__() method
  • Design callable items and context managers
  • Perform item serialization in codecs comparable to JSON, YAML, Pickle, CSV, and XML
  • Map Python gadgets to a SQL database utilizing the integrated SQLite module
  • Transmit Python gadgets through RESTful internet services
  • Devise recommendations for automatic 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 documents and atmosphere variables

About the Author

Steven F. Lott has been programming because the 70s, whilst desktops have been huge, pricey, and infrequent. As a freelance software program developer and architect, he has labored on hundreds of thousands of tasks, from very small to huge. he is been utilizing Python to unravel enterprise difficulties for over 10 years.

Table of Contents

  1. The _init_() Method
  2. Integrating Seamlessly with uncomplicated Python specific Methods
  3. Attribute entry, houses, 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 gadgets through Shelve
  11. Storing and Retrieving items through SQLite
  12. Transmitting and Sharing Objects
  13. Configuration documents and Persistence
  14. The Logging and caution Modules
  15. Designing for Testability
  16. Coping with the Command Line

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