Learning Python Design Patterns (2nd Edition) by Gennadiy Zlobin

By Gennadiy Zlobin

Key Features
Understand the structural, creational, and behavioral Python layout patterns
Get to grasp the context and alertness of layout styles to resolve real-world difficulties in software program structure, layout, and alertness development
Get functional publicity via pattern implementations in Python v3.5 for the layout styles featured
Book Description
With the expanding specialize in optimized software program structure and layout it will be important that software program architects take into consideration optimizations in item production, code constitution, and interplay among items on the structure or layout point. This makes certain that the price of software program upkeep is low and code will be simply reused or is adaptable to alter. the foremost to this can be reusability and coffee upkeep in layout patterns.

Building at the good fortune of the former version, studying Python layout styles, moment version can help you enforce real-world situations with Python's most modern unencumber, Python v3.5.

We begin by way of introducing layout styles from the Python viewpoint. As you move in the course of the booklet, you'll find out about Singleton styles, manufacturing unit styles, and Facade styles intimately. After this, we'll examine the way to keep an eye on item entry with proxy styles. It additionally covers observer styles, command styles, and compound patterns.

By the tip of the booklet, you've stronger your specialist talents in software program structure, layout, and development.

What you are going to learn
Enhance your talents to create larger software program architecture
Understand confirmed strategies to often happening layout issues
Explore the layout rules that shape the root of software program layout, corresponding to unfastened coupling, the Hollywood precept and the Open shut precept between others
Delve into the object-oriented programming techniques and learn how they're utilized in software program applications
Develop an realizing of Creational layout styles and the various item construction equipment that assist you clear up concerns in software program development
Use Structural layout styles and learn the way gadgets and sessions engage to construct greater applications
Focus at the interplay among gadgets with the command and observer patterns
Improve the productiveness and code base of your software utilizing Python layout patterns
About the Author
Chetan Giridhar is a know-how chief, open resource fanatic, and Python developer. He has written a number of articles on know-how and improvement practices in magazines reminiscent of LinuxForYou and Agile checklist, and has released technical papers within the Python Papers magazine. He has been a speaker at PyCon meetings corresponding to PyCon India, Asia-Pacific, and New Zealand and loves engaged on real-time communications, dispensed platforms, and cloud purposes. Chetan has been a reviewer at Packt Publishing and has contributed to books on IPython Visualizations and center Python.

Table of Contents
Introduction to layout Patterns
The Singleton layout Pattern
The manufacturing facility trend – construction Factories to Create Objects
The Facade development – Being Adaptive with Facade
The Proxy trend – Controlling item Access
The Observer trend – maintaining items within the Know
The Command trend – Encapsulating Invocation
The Template strategy trend – Encapsulating Algorithm
Model-View-Controller – Compound Patterns
The nation layout Pattern

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Learn Python the Hard Way (2nd Edition) by Zed A. Shaw

By Zed A. Shaw

It is a very newbie publication for those who are looking to discover ways to code. in the event you can already code then the booklet will most likely force you insane. It's meant for those who don't have any coding chops to accumulate their talents earlier than beginning a extra particular publication. The 2d variation positive aspects five new routines, fixes and updates to almost each workout, and 3 of the hot routines train you to create an easy net software because the ultimate a part of the ebook.

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Bioinformatics Programming Using Python: Practical by Mitchell L. Model

By Mitchell L. Model

Powerful, versatile, and straightforward to take advantage of, Python is a perfect language for development software program instruments and functions for all times technological know-how study and improvement. This specified ebook exhibits you ways to software with Python, utilizing code examples taken at once from bioinformatics. very quickly, you'll be utilizing refined recommendations and Python modules which are really potent for bioinformatics programming.

Bioinformatics Programming utilizing Python is ideal for somebody concerned with bioinformatics -- researchers, aid employees, scholars, and software program builders drawn to writing bioinformatics purposes. You'll locate it important no matter if you already use Python, write code in one other language, or don't have any programming adventure in any respect. It's an exceptional self-instruction device, in addition to a convenient reference while dealing with the demanding situations of real-life programming tasks.
* familiarize yourself with Python's basics, together with how one can enhance easy functions
* methods to use Python modules for trend matching, based textual content processing, on-line information retrieval, and database entry
* realize generalized styles that disguise a wide share of the way Python code is utilized in bioinformatics
* the way to practice the foundations and strategies of object-oriented programming
* enjoy the "tips and traps" part in every one chapter

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Python Business Intelligence Cookbook by Robert Dempsey

By Robert Dempsey

The volume of information produced through companies and units goes nowhere yet up. during this state of affairs, the key good thing about Python is that it's a general-purpose language and offers you many of flexibleness in facts constructions. Python is a superb instrument for extra really expert research projects, and is powered with similar libraries to procedure facts streams, to imagine datasets, and to hold out clinical calculations. utilizing Python for enterprise intelligence (BI) may help resolve tough difficulties in a single go.

Rather than spending each day scouring web boards for “how-to” info, the following you'll locate greater than 60 recipes that take you thru the complete strategy of developing actionable intelligence out of your uncooked info, it doesn't matter what form or shape it's in. in the first half-hour of commencing this e-book, you'll the way to use the newest in Python and NoSQL databases to glean insights from info simply ready to be exploited.

We'll commence with a quick-fire creation to Python for BI and express you what difficulties Python solves. From there, we flow directly to operating with a predefined facts set to extract info as in line with company specifications, utilizing the Pandas library and MongoDB as our garage engine.

Next, we'll research info and practice differences for BI with Python. via this, you'll assemble insightful info to help you make educated judgements in your enterprise. the ultimate a part of the ebook will express you an important activity of BI―visualizing information via construction beautiful dashboards utilizing Matplotlib, PyTables, and iPython laptop.

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Introduction to Python Programming and Developing GUI by B. M. Harwani

By B. M. Harwani

Creation to Python Programming and constructing GUI functions with PyQT 1E» teaches Python programming step by step via sensible examples that readers can see in motion instantaneously. It starts off with an outstanding advent of Python from scratch, protecting loops, keep watch over constructions, sequences, capabilities, sessions, and exception dealing with. Thereafter, the publication explores dossier dealing with and GUI software improvement in PyQT, the robust cross-platform GUI format and varieties builder that enables programmers to speedily layout and construct widgets and dialogs. The publication finishes with an advent to Django, an easy-to-use platform for constructing internet functions in Python. it is a nice publication for amateur programmers drawn to studying Python.

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MongoDB and Python: Patterns and Processes for the Popular by Niall O'Higgins

By Niall O'Higgins

Find out how to leverage MongoDB along with your Python functions, utilizing the hands-on recipes during this e-book. You get entire code samples for initiatives reminiscent of making quick geo queries for location-based apps, successfully indexing your person files for social-graph lookups, and plenty of different scenarios.

This consultant explains the fundamentals of the document-oriented database and exhibits you the way to establish a Python surroundings with it. the right way to learn and write to MongoDB, observe idiomatic MongoDB and Python styles, and use the database with numerous well known Python net frameworks. You'll detect the right way to version your information, write potent queries, and keep away from concurrency difficulties akin to race stipulations and deadlocks.

The recipes can assist you:

*Read, write, count number, and kind files in a MongoDB collection

*Learn the way to use the wealthy MongoDB question language

*Maintain information integrity in replicated/distributed MongoDB environments

*Use embedding to successfully version your facts with no joins

*Code defensively to prevent keyerrors and different bugs

*Apply atomic operations to replace online game ratings, billing platforms, and extra with the short accounting pattern

*Use MongoDB with the Pylons 1.x, Django, and Pyramid

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Think Stats by Allen Downey B.

By Allen Downey B.

If you understand how to software, you might have the abilities to show info into wisdom utilizing the instruments of chance and information. This concise advent exhibits you ways to accomplish statistical research computationally, instead of mathematically, with courses written in Python.

You'll paintings with a case research through the e-book that can assist you research the whole info research process—from gathering information and producing facts to deciding upon styles and trying out hypotheses. alongside the best way, you'll get to grips with distributions, the foundations of likelihood, visualization, and lots of different instruments and concepts.
* boost your realizing of chance and facts via writing and trying out code
* Run experiments to check statistical habit, resembling producing samples from numerous distributions
* Use simulations to appreciate recommendations which are challenging to know mathematically
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* Use statistical inference to respond to questions on real-world info

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Practically, the e-book is appropriate for classes on social community research in all disciplines that use social method. within the examine of social networks, social community research makes a fascinating interdisciplinary examine sector, the place machine scientists and sociologists convey their competence to a degree that might let them to fulfill the demanding situations of this fast-developing box. computing device scientists have the information to parse and approach facts whereas sociologists have the adventure that's required for effective facts modifying and interpretation. Social community research has effectively been utilized in several fields similar to future health, cyber defense, company, animal social networks, info retrieval, and communications.

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Fundamentals of Python: From First Programs through Data by Kenneth A. Lambert

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Python pocket reference by Lutz M.

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