Category: Python

By Daniel Reis

Odoo is a robust and fast-growing company software platform. starting with establishing the improvement atmosphere, this e-book will then consultant you thru a realistic trip to construct feature-rich enterprise applications.

With the purpose of jumpstarting your Odoo skillability point, from no particular wisdom to program improvement readiness, you may be set at the direction of constructing your first Odoo software. Then, you are going to stream directly to subject matters similar to versions and perspectives and knowing and utilizing server APIs so as to add enterprise common sense, with a purpose to lay a high-quality starting place for complex topics.

The publication concludes with a consultant to Odoo interplay and the way to take advantage of the Odoo API from different courses, all of on the way to allow you to successfully combine functions with different exterior systems.</p>

By Andre Lessa

The Python Developer's guide is designed to reveal skilled builders to Python and its makes use of. starting with a quick creation to the language and its syntax, the ebook strikes speedy into extra complex programming issues, together with embedding Python, community programming, GUI toolkits, JPython, internet improvement, Python/C API, and extra. Python is an interpreted, object-oriented programming language. Its syntax is straightforward and straightforward to benefit, and it encourages programmers to put in writing and imagine in actual fact. The Python Developer's guide is thoroughly written, well-organized advent to this robust, fast-growing programming language for skilled builders.

By Daniel Greenfeld, Audrey M. Roy

Two Scoops of Django: most sensible Practices For Django 1.5 is brim-full of fabric that can assist you along with your Django projects.

We'll introduce you to varied counsel, tips, styles, code snippets, and strategies that we've picked up over the years.

This publication is superb for:
* newbies who've simply complete the Django tutorial.
* builders with intermediate wisdom of Django who are looking to enhance their Django projects.

We have placed hundreds of thousands of hours into writing and revising its 2 hundred+ pages of concise, example-packed text.

What is all people announcing approximately Scoops of Django?
* “A unmarried read-through of 2 Scoops of Django gave me such a lot of lightbulbs and assistance; I needed to return for a moment helping.” -- Lynn Root, purple Hat engineer and PyLadies ambassador.
* Ha ha, I realized whatever within the first bankruptcy. Awesome. -- Zed Shaw, writer of study Python the tough Way.
* Two Scoops should still offer a few nutrients for idea and usable techniques for anyone utilizing Django regularly. -- Malcolm Tredinnick, Django middle Contributor
* Make certain you have got your favourite undertaking subsequent to you whereas studying. You'll be doing a little rewriting. -- Bryan Veloso, GitHubber, PyCon PH Keynote Speaker
* If i may time go back and forth, first thing I'd do will be provide my more youthful self a replica of this booklet, and make him learn it. -- Randall Degges, Passionate Python Hacker
* You recognize these classes you study whilst initiatives blow up on your face? This publication includes a number of tasks worthy of such lessons. -- Lennart Regebro, writer of "Porting to Python 3"
* This ebook should still end up to be an awesome source for any new-to-Django developer that alternatives it up. -- Kenneth Love, author of "Getting began with Django"
* <3 <3 <3 -- Jannis Leidel, Django middle Contributor
* No subject what your ability point is, Scoops has reliable counsel for everyone. -- Jeff Triplett, Developer at Revsys
* This is the e-book i needed had existed and that i may have learn while i began studying Django. -- Barry Morrison, Linux platforms engineer and Django developer
* Two Scoops of Django is through a ways the simplest Django publication I've read. -- Ben Beecher on Twitter
* Are there any negatives? good definite. just one: I want I've learn it earlier! -- Branko Vukelic

Table of Contents
* bankruptcy 1: Coding Conventions
* bankruptcy 2: The optimum Django atmosphere Setup
* bankruptcy three: find out how to Lay Out Django Projects
* bankruptcy four: basics of Django App Design
* bankruptcy five: Settings and standards Files
* bankruptcy 6: Database/Model most sensible Practices
* bankruptcy 7: Function-and Class-Based Views
* bankruptcy eight: top Practices for sophistication dependent Views
* bankruptcy nine: universal styles for Forms
* bankruptcy 10: extra issues to grasp approximately Forms
* bankruptcy eleven: construction relaxation APIs in Django
* bankruptcy 12: Templates: most sensible Practices
* bankruptcy thirteen: Template Tags and Filters
* bankruptcy 14: Tradeoffs of changing middle Components
* bankruptcy 15: operating With the Django Admin
* bankruptcy sixteen: facing the person Model
* bankruptcy 17: Django's mystery Sauce: Third-Party Packages
* bankruptcy 18: trying out bankruptcy of Doom!
* bankruptcy 19: Documentation: Be Obsessed
* bankruptcy 20: discovering and lowering Bottlenecks
* bankruptcy 21: protection most sensible Practices
* bankruptcy 22: Logging: counsel and Tools
* bankruptcy 23: signs: Use instances and Avoidance Techniques
* bankruptcy 24: What approximately these Random Utilities?
* bankruptcy 25: Deploying Django Projects
* bankruptcy 26: tips on how to liberate your personal Django Packages
* bankruptcy 27: remaining Thoughts
* Appendix A: programs pointed out during this Book
* Appendix B: Troubleshooting

By Jason Kinser

This textbook offers an creation for computational equipment in bioinformatics utilizing a spreadsheet, Python 3.4 and MySQL. tools are proven to control simple details and to execute universal analytical ideas. this article is designed for the biology scholar that has little or no adventure in machine research.

By Tony Gaddis

This article is meant for a one-semester introductory programming direction for college students with constrained programming experience.

In Starting Out with Python®, 3rd Edition Tony Gaddis’ evenly-paced, available assurance introduces scholars to the fundamentals of programming and prepares them to transition into extra advanced languages. Python, an easy-to-learn and more and more well known object-oriented language, permits readers to develop into pleased with the basics of programming with no the not easy syntax that may be not easy for newbies. With the data received utilizing Python, scholars achieve self assurance of their abilities and discover ways to realize the common sense at the back of constructing top of the range programs.

Starting Out with Python discusses keep watch over constructions, features, arrays, and guidelines sooner than gadgets and periods. as with every Gaddis texts, transparent and easy-to-read code listings, concise and functional real-world examples, detail-oriented causes, and an abundance of workouts seem in each chapter.

Teaching and studying Experience

This application provides a greater instructing and studying experience–for you and your scholars. it is going to help:

• Enhance studying with the Gaddis method: Gaddis’s available technique positive aspects transparent and easy-to-read code listings, concise real-world examples, and workouts in each chapter.
• Support teachers and scholars: pupil and teacher assets can be found to extend at the issues provided within the text.
• Keep Your path present: This edition’s courses were established with Python 3.3.2.

By Ziade T.

By Dahlquist

By Philipp K. Janert

Amassing facts is comparatively effortless, yet turning uncooked details into whatever invaluable calls for that you simply know the way to extract accurately what you would like. With this insightful e-book, intermediate to skilled programmers attracted to information research will study innovations for operating with information in a company setting. You'll the best way to examine facts to find what it includes, how you can catch these rules in conceptual types, after which feed your realizing again into the association via enterprise plans, metrics dashboards, and different applications.

Along the way in which, you'll test with ideas via hands-on workshops on the finish of every bankruptcy. in particular, you'll take into consideration the consequences you must achieve—rather than depend upon instruments to imagine for you.
• Use portraits to explain facts with one, , or dozens of variables
• advance conceptual versions utilizing back-of-the-envelope calculations, in addition to scaling and chance arguments
• Mine facts with computationally in depth equipment similar to simulation and clustering
• Make your conclusions comprehensible via stories, dashboards, and different metrics programs
• comprehend monetary calculations, together with the time-value of money
• Use dimensionality relief ideas or predictive analytics to overcome not easy info research situations
• get to grips with varied open resource programming environments for info research

By Martino Sabia, Cathy Wang

Approximately This Book

Learn how one can benefit from IDE for debugging and checking out Python applications
Enhance your potency in Django improvement with visible Studio IntelliSense
Venture into the depths of Python programming recommendations, awarded in an in depth and transparent manner
Who This e-book Is For

The ebook is meant for builders who're aiming to reinforce their productiveness in Python initiatives with automation instruments that visible Studio presents for the .Net group. a few easy wisdom of Python programming is vital.

By Kurt W. Smith