Expert Python Programming: Best practices for designing, coding, and distributing your Python software

By Tarek Ziadé

Professional Python Programming exhibits how Python improvement could be performed with most sensible practices and professional layout suggestions. This publication is for Python builders who're already development purposes, yet are looking to construct larger ones via employing most sensible practices and new improvement innovations to their tasks. The reader is anticipated to have a legitimate heritage in Python programming.

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Learning IPython for Interactive Computing and Data Visualization - Second Edition

By Cyrille Rossant

Get began with Python for facts research and numerical computing within the Jupyter notebook

About This Book

  • Learn the fundamentals of Python within the Jupyter Notebook
  • Analyze and visualize facts with pandas, NumPy, matplotlib, and seaborn
  • Perform highly-efficient numerical computations with Numba, Cython, and ipyparallel

Who This booklet Is For

This e-book goals scholars, lecturers, researchers, engineers, analysts, newshounds, hobbyists, and all info fans who're drawn to examining and visualizing real-world datasets. while you are new to programming and information research, this ebook is precisely for you. if you are already acquainted with one other language or research software program, additionally, you will relish this creation to the Python information research platform. ultimately, there are extra technical subject matters for complicated readers. No earlier adventure is needed; this e-book comprises every thing you want to know.

What you'll Learn

  • Install Anaconda and code in Python within the Jupyter Notebook
  • Load and discover datasets interactively
  • Perform advanced facts manipulations successfully with pandas
  • Create attractive information visualizations with matplotlib and seaborn
  • Simulate mathematical types with NumPy
  • Visualize and strategy photographs interactively within the Jupyter pc with scikit-image
  • Accelerate your code with Numba, Cython, and IPython.parallel
  • Extend the computing device interface with HTML, JavaScript, and D3

In Detail

Python is a elementary and robust programming language. IPython bargains a handy interface to the language and its research libraries, whereas the Jupyter computer is a wealthy surroundings well-adapted to info technology and visualization. jointly, those open resource instruments are common via rookies and specialists worldwide, and in an enormous number of fields and endeavors.

This publication is a beginner-friendly consultant to the Python facts research platform. After an advent to the Python language, IPython, and the Jupyter computing device, you are going to how you can learn and visualize information on real-world examples, how one can create graphical consumer interfaces for snapshot processing within the laptop, and the way to accomplish speedy numerical computations for medical simulations with NumPy, Numba, Cython, and ipyparallel. through the tip of this e-book, it is possible for you to to accomplish in-depth analyses of every type of data.

Style and approach

This is a hands-on beginner-friendly consultant to research and visualize facts on real-world examples with Python and the Jupyter Notebook.

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Data Structures and Algorithms in Python

By Michael T. Goodrich

Based at the authors’ industry top information constructions books in Java and C++, this book deals a finished, definitive creation to information constructions in Python through authoritative authors. Data buildings and Algorithms in Python is the 1st authoritative object-oriented publication on hand for Python facts constructions. Designed to supply a complete advent to information constructions and algorithms, together with their layout, research, and implementation, the textual content will keep a similar common constitution as Data buildings and Algorithms in Java and Data constructions and Algorithms in C++.

  • Begins by way of discussing Python’s conceptually easy syntax, which permits for a better specialise in concepts.
  • Employs a constant object-oriented standpoint through the text.
  • Presents every one info constitution utilizing ADTs and their respective implementations and introduces vital layout styles as a way to prepare these implementations into periods, equipment, and objects.
  • Provides a radical dialogue at the research and layout of basic facts structures.
  • Includes many useful Python code examples, with resource code supplied at the website.
  • Uses illustrations to provide info constructions and algorithms, in addition to their research, in a transparent, visible manner.
  • Provides countless numbers of workouts that advertise creativity, aid readers the way to imagine like programmers, and toughen vital concepts.
  • Contains many Python-code and pseudo-code fragments, and hundreds of thousands of routines, that are divided into approximately forty% reinforcement routines, forty% creativity routines, and 20% programming projects.

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Programming Python

By Mark Lutz

If you've got mastered Python's basics, you are ready to begin utilizing it to get genuine paintings performed. Programming Python will express you ways, with in-depth tutorials at the language's basic software domain names: method management, GUIs, and the net. you will additionally discover how Python is utilized in databases, networking, front-end scripting layers, textual content processing, and extra. This ebook specializes in general instruments and libraries to provide you a accomplished realizing of Python’s many jobs in functional, real-world programming.

You'll study language syntax and programming thoughts 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 instrument, 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 site basics
  • System programming: discover approach 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 electronic mail instruments, use CGI scripts, and examine site implementation techniques
  • More how you can practice Python: enforce information constructions, parse text-based info, interface with databases, and expand and embed Python

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Core Python Programming (2nd Edition)

Praise for Core Python Programming


"The long-awaited moment version of Wesley Chun's Core Python Programming proves to be worth the wait—its deep and vast insurance and precious routines might help readers examine and perform strong Python."

—Alex Martelli, writer of Python in a Nutshell and editor of Python Cookbook


"There has been lot of excellent buzz round Wesley Chun's Core Python Programming. It seems that every one the excitement is definitely earned. i believe this is often the easiest publication presently to be had for studying Python. i'd suggest Chun's booklet over Learning Python (O'Reilly), Programming Python (O'Reilly), or The speedy Python Book (Manning)."

—David Mertz, Ph.D., IBM DeveloperWorks®


"I were doing loads of learn [on] Python for the prior yr and feature obvious a few confident stories of your publication. The sentiment expressed confirms the opinion that Core Python Programming is now thought of the traditional introductory text."

—Richard Ozaki, Lockheed Martin


"Finally, a publication more than enough to be either a textbook and a reference at the Python language now exists."

—Michael Baxter, Linux Journal


"Very good written. it's the clearest, friendliest booklet i've got come upon but for explaining Python, and placing it in a much wider context. It doesn't presume a large number of different event. It does pass into a few vital Python subject matters rigorously and extensive. not like too many newbie books, it by no means condescends or tortures the reader with infantile hide-and-seek prose video games. [It] sticks to gaining a great clutch of Python syntax and structure."

— bookstall internet site


"[If ] i may purely personal one Python booklet, it'd be Core Python Programming by means of Wesley Chun. This ebook manages to hide extra themes in additional intensity than studying Python yet contains all of it in a single ebook that still greater than effectively covers the middle language. [If] you're available in the market for only one publication approximately Python, i like to recommend this publication. you are going to take pleasure in interpreting it, together with its wry programmer's wit. extra importantly, you are going to research Python. much more importantly, you'll find it worthwhile in supporting you on your day by day Python programming existence. good performed, Mr. Chun!"

—Ron Stephens, Python studying Foundation


"I imagine the simplest language for rookies is Python, unquestionably. My favourite ebook is Core Python Programming."

—s003apr, Forums


"Personally, i love Python. it really is easy to benefit, thoroughly intuitive, amazingly versatile, and lovely darned quickly. Python has merely simply began to declare mindshare within the home windows global, yet search for it to begin gaining plenty of aid as humans realize it. to benefit Python, i might begin with Core Python Programming via Wesley Chun."

—Bill Boswell, MCSE, Microsoft qualified specialist journal Online


"If you research good from books, I recommend Core Python Programming. it really is via a long way the simplest i have chanced on. i am a Python beginner in addition and in 3 months time i have been capable of enforce Python in tasks at paintings (automating MSOffice, SQL DB stuff, etc.)."

—ptonman, Dev Shed Forums


"Python is just a gorgeous language. it is simple to benefit, it really is cross-platform, and it really works. It has completed a number of the technical objectives that Java strives for. A one-sentence description of Python will be: 'All different languages seem to have advanced over time--but Python was once designed.' And it used to be designed good. regrettably, there are not a number of books for Python. the easiest one i have run throughout to date is Core Python Programming."

—Chris Timmons, C. R. Timmons Consulting


"If you love the Prentice corridor middle sequence, one other solid full-blown remedy to contemplate will be Core Python Programming. It addresses in complex concrete element many sensible subject matters that get little, if any, insurance in different books."

—Mitchell L version, multilevel marketing Consulting


"Core Python Programming is an amazingly effortless learn! The liberal use of examples is helping make clear many of the extra refined issues of the language. And the comparisons to languages with which i am already widely used (C/C++/Java) get you programming in checklist speed."

—Michael Santos, Ph.D., eco-friendly Hills Software


The entire Developer's advisor to Python

  • New to Python? The definitive advisor to Python improvement for knowledgeable programmers
  • Covers center language positive aspects completely, together with these present in the newest Python releases—learn more than simply the syntax!
  • Learn complicated themes comparable to common expressions, networking, multithreading, GUI, Web/CGI, and Python extensions
  • Includes brand-new material on databases, net consumers, Java/Jython, and Microsoft workplace, plus Python 2.6 and three
  • Presents hundreds of thousands of code snippets, interactive examples, and sensible workouts to reinforce your Python skills

Python is an agile, strong, expressive, totally object-oriented, extensible, and scalable programming language. It combines the facility of compiled languages with the simplicity and quick improvement of scripting languages. In Core Python Programming, moment Edition , top Python developer and coach Wesley Chun is helping you examine Python fast and comprehensively so you might instantly be triumphant with any Python project.


Using sensible code examples, Chun introduces the entire basics of Python programming: syntax, items and reminiscence administration, facts forms, operators, documents and I/O, features, turbines, mistakes dealing with and exceptions, loops, iterators, sensible programming, object-oriented programming and extra. once you research the middle basics of Python, he indicates you what you are able to do along with your new abilities, delving into complicated subject matters, reminiscent of commonplace expressions, networking programming with sockets, multithreading, GUI improvement, Web/CGI programming and increasing Python in C.


This version displays significant improvements within the Python 2.x sequence, together with 2.6 and suggestions for migrating to three. It includes new chapters on database and web buyer programming, plus assurance of many new themes, together with new-style periods, Java and Jython, Microsoft workplace (Win32 COM patron) programming, and lots more and plenty more.

  • Learn expert Python kind, most sensible practices, and reliable programming conduct
  • Gain a deep figuring out of Python's gadgets and reminiscence version in addition to its OOP positive aspects, together with these present in Python's new-style periods
  • Build more suitable net, CGI, net, and community and different client/server functions
  • Learn the best way to enhance your personal GUI purposes utilizing Tkinter and different toolkits to be had for Python
  • Improve the functionality of your Python purposes by means of writing extensions in C and different languages, or improve I/O-bound purposes by utilizing multithreading
  • Learn approximately Python's database API and the way to exploit numerous database platforms with Python, together with MySQL, Postgres, and SQLite
  • Features appendices on Python 2.6 & three, together with pointers on migrating to the subsequent generation! 

Core Python Programming delivers

  • Systematic, professional assurance of Python's center beneficial properties
  • Powerful insights for constructing complicated purposes
  • Easy-to-use tables and charts detailing Python modules, operators, capabilities, and strategies
  • Dozens of professional-quality code examples, from quickly snippets to full-fledged applications

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Foundations of Python Network Programming

By Brandon Rhodes

Foundations of Python community Programming, Third Edition, covers all the vintage themes present in the second one variation of this publication, together with community protocols, community information and blunders, e-mail, server structure, and HTTP and net functions, plus updates for Python 3.

Some of the hot themes during this variation include:

• broad assurance of the up-to-date SSL aid in Python 3

• how one can write your personal asynchronous I/O loop.

• an summary of the "asyncio" framework that includes Python 3.4.

• How the Flask net framework connects URLs for your Python code.

• How cross-site scripting and cross-site request forgery can be utilized to assault your website, and the way to guard opposed to them.

• How a full-stack net framework like Django can automate the around journey out of your database to the monitor and back.

If you are a Python programmer who wishes a deep figuring out of the way to exploit Python for network-related projects and purposes, this is often the ebook for you. From internet program builders, to platforms integrators, to procedure administrators—this booklet has every thing it is advisable to know.

What you’ll learn

• wide insurance of the up-to-date SSL aid in Python 3

• the right way to write your personal asynchronous I/O loop.

• an outline of the "asyncio" framework that includes Python 3.4.

• How the Flask internet framework connects URLs in your Python code.

• How cross-site scripting and cross-site request forgery can be utilized to assault your website, and the way to guard opposed to them.

• How a full-stack net framework like Django can automate the around journey out of your database to the reveal and back.

• up to date insurance of community protocol layers and information encodings

• How Python three works with community exception handling

• how you can use the requests library rather than urllib2

• extended insurance of Python internet frameworks

• the way to paintings with net purposes and email

Who this ebook is for

if you are a Python programmer who wishes a deep figuring out of ways to take advantage of Python for network-related initiatives and functions, this is often the publication for you. From internet software builders, to structures integrators, to procedure administrators—this e-book has every little thing it's worthwhile to know.

Table of Contents

  1. Introduction to Client/Server Networking
  2. UDP
  3. TCP
  4. Socket Names and DNS
  5. Network information and community mistakes
  6. TLS and SSL
  7. Server structure
  8. Caches, Message Queues, and Map-Reduce
  9. HTTP
  10. Screen Scraping
  11. Web functions
  12. E-mail Composition and interpreting
  13. SMTP
  14. POP
  15. IMAP
  16. Other technologies: Telnet, SSH, and FTP
  17. RPC
  18. System management

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Essential SQLAlchemy

By Jason Myers

Dive into SQLAlchemy, the preferred, open-source code library that is helping Python programmers paintings with relational databases comparable to Oracle, MySQL, PostgresSQL, and SQLite. utilizing real-world examples, this useful advisor indicates you ways to construct an easy database software with SQLAlchemy, and the way to hook up with a number of databases at the same time with a similar metadata.

SQL is a strong language for querying and manipulating info, yet it’s difficult to combine it along with your program. SQLAlchemy is helping you map Python gadgets to database tables with no considerably altering your current Python code. If you’re an intermediate Python developer with wisdom of uncomplicated SQL syntax and relational concept, this ebook serves as either a studying software and a convenient reference.

Essential SQLAlchemy contains numerous sections:

  • SQLAlchemy Core: supply database prone for your functions in a Pythonic manner with the SQL Expression Language
  • SQLAlchemy ORM: Use the thing relational mapper to bind database schema and operations to info items on your application
  • Alembic: Use this light-weight database migration device to address alterations to the database as your program evolves
  • Cookbook: the best way to use SQLAlchemy with internet frameworks like Flask and libraries like SQLAcodegen

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Foundations of Agile Python Development (Expert's Voice in Open Source)

By Jeff Younker

You’ve lengthy been enamored with the Python language, and feature mastered its many nuances. but anything appears missing—a productiveness develop that you just comprehend is feasible yet you’re uncertain how you can pass approximately it. This was once the sentiment of such a lot of builders prior to studying Agile programming paradigm, which embraces techniques similar to automation, powerful code administration, and test–driven development.

Foundations of Agile Python Development is the 1st ebook to use those sought–after ideas to Python builders, introducing either the instruments and methods equipped and supported via the Python neighborhood. Authored by means of Jeff Younker, a well–known member of Python’s agile neighborhood who's maybe top identified for his production of a well-liked Python trying out framework, this e-book is certain to be a success between readers who can have reached their limits of data concerning the Python language, but are seeking for to enhance their knowing of ways sound tactics can strengthen productiveness to remarkable heights.

What you’ll learn

  • Understand why the Agile circulate is expanding productiveness and reducing programmer rigidity the realm around
  • Use Eclipse and Subversion so as to add an entire 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 technique, getting rid of a lot of the tedium surrounding checking 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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Python 3 Text Processing with NLTK 3 Cookbook

By Jacob Perkins

Over eighty useful recipes on average language processing concepts utilizing Python's NLTK 3.0

About This Book

  • Break textual content down into its part elements for spelling correction, function extraction, and word transformation
  • Learn how you can do customized sentiment research and named entity recognition
  • Work in the course of the average language processing ideas with basic and easy-to-follow programming recipes

Who This e-book Is For

This ebook is meant for Python programmers drawn to studying the right way to do usual language processing. perhaps you've got discovered the bounds of normal expressions the not easy approach, or you might have learned that human language can't be deterministically parsed like a working laptop or computer language. possibly you've extra textual content than you recognize what to do with, and wish computerized how one can study and constitution that textual content. This Cookbook will assist you to educate and use statistical language versions to approach textual content in ways in which are virtually very unlikely with general programming instruments. A uncomplicated wisdom of Python and the elemental textual content processing options is anticipated. a few adventure with usual expressions can be helpful.

What you are going to Learn

  • Tokenize textual content into sentences, and sentences into words
  • Look up phrases within the WordNet dictionary
  • Apply spelling correction and note replacement
  • Access the integrated textual content corpora and create your individual customized corpus
  • Tag phrases with components of speech
  • Chunk words and realize named entities
  • Grammatically rework words and chunks
  • Classify textual content and practice sentiment analysis

In Detail

This publication will express you the basic innovations of textual content and language processing. beginning with tokenization, stemming, and the WordNet dictionary, you are going to growth to part-of-speech tagging, word chunking, and named entity attractiveness. you will learn the way numerous textual content corpora are geared up, in addition to the way to create your personal customized corpus. Then, you are going to circulation onto textual content category with a spotlight on sentiment research. and since NLP could be computationally pricey on huge our bodies of textual content, you are going to test a couple of equipment for disbursed textual content processing. ultimately, you will be brought to a few different small yet complementary Python libraries for textual content research, cleansing, and parsing.

This cookbook presents basic, elementary examples so that you can speedy study textual content processing with Python and NLTK.

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Think Complexity: Complexity Science and Computational Modeling

Expand your Python talents via operating with information buildings and algorithms in a clean context—through an eye-opening exploration of complexity technology. no matter if you’re an intermediate-level Python programmer or a pupil of computational modeling, you’ll delve into examples of advanced platforms via a sequence of workouts, case reviews, and easy-to-understand explanations.

You’ll paintings with graphs, set of rules research, scale-free networks, and mobile automata, utilizing complicated good points that make Python this type of strong language. perfect as a textual content for classes on Python programming and algorithms, Think Complexity also will aid self-learners achieve worthy event with subject matters and concepts they won't come upon otherwise.

  • Work with NumPy arrays and SciPy equipment, uncomplicated sign processing and quickly Fourier rework, and hash tables
  • Study summary types of complicated actual platforms, together with energy legislation, fractals and purple noise, and Turing machines
  • Get starter code and options that can assist you re-implement and expand unique experiments in complexity
  • Explore the philosophy of technology, together with the character of medical legislation, idea selection, realism and instrumentalism, and different topics
  • Examine case experiences of complicated structures submitted via scholars and readers

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