Effective Python: 59 Specific Ways to Write Better Python (Effective Software Development Series)

By Brett Slatkin

It is easy to begin writing code with Python: that is why the language is so immensely well known. notwithstanding, Python has targeted strengths, charms, and expressivity that may be not easy to understand at the beginning -- in addition to hidden pitfalls that may simply journey you up if you happen to usually are not conscious of them. Effective Python might help you harness the whole energy of Python to jot down incredibly strong, effective, maintainable, and well-performing code. using the concise, scenario-driven sort pioneered in Scott Meyers's best-selling Effective C++, Brett Slatkin brings jointly fifty nine Python top practices, tips, shortcuts, and practical code examples from professional programmers.

Through reasonable examples, Slatkin uncovers little-known Python quirks, intricacies, and idioms that powerfully effect code habit and function. you are going to how to decide upon the best and potent solution to accomplish key projects whilst a number of suggestions exist, and the way to write down code that is more uncomplicated to appreciate, hold, and improve.

Drawing on his deep realizing of Python's functions, Slatkin bargains useful recommendation for every significant region of improvement with either Python 3.x and Python 2.x. assurance includes:

  • Algorithms
  • Objects
  • Concurrency
  • Collaboration
  • Built-in modules
  • Production techniques
  • And more

each one part includes particular, actionable guidance geared up into goods, each one with conscientiously worded suggestion supported via precise technical arguments and illuminating examples. utilizing Effective Python, you could systematically enhance all of the Python code you write: no longer by way of blindly following principles or mimicking incomprehensible idioms, yet by way of gaining a deep realizing of the technical the reason why they make feel.

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Test-Driven Development with Python: Obey the Testing Goat: Using Django, Selenium, and JavaScript

By taking you thru the improvement of a true net software from commencing to finish, the up to date moment variation of this hands-on advisor demonstrates the sensible merits of test-driven improvement (TDD) with Python. You’ll the way to write and run assessments earlier than development every one a part of your app, after which increase the minimal volume of code required to move these exams. the outcome? fresh code that works.

Author Harry J.W. Percival makes use of a concrete example—the improvement of a website, from scratch—to train TDD technique and the way it applies to net programming, from the fundamentals of database integration and Javascript to extra complex subject matters equivalent to mocking, Ajax, and leisure APIs. it truly is perfect for relative beginners and self-taught internet builders trying to take their abilities to the following point with a extra dependent approach.

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Python Data Analytics: Data Analysis and Science using pandas, matplotlib and the Python Programming Language

Python info Analytics may also help you take on the area of knowledge acquisition and research utilizing the facility of the Python language. on the center of this publication lies the insurance of pandas, an open resource, BSD-licensed library delivering high-performance, easy-to-use info constructions and information research instruments for the Python programming language.
Author Fabio Nelli expertly indicates the power of the Python programming language while utilized to processing, coping with and retrieving details. inside of, you will see that how intuitive and versatile it truly is to find and speak significant styles of knowledge utilizing Python scripts, reporting structures, and information export. This e-book examines how you can pass approximately acquiring, processing, storing, coping with and examining info utilizing the Python programming language.
You will use Python and different open resource instruments to wrangle information and tease out attention-grabbing and critical traits in that info that might let you expect future

styles. even if you're facing revenues information, funding information (stocks, bonds, etc.), clinical information, online page utilization, or the other form of facts set, Python can be utilized to interpret, study, and glean info from a pile of numbers and statistics. 

This e-book is a useful reference with its examples of storing and getting access to info in a database; it walks you thru the method of file new release; it presents 3 genuine international case reports or examples so you might take with you to your daily research needs.

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Learn Python the Hard Way: A Very Simple Introduction to the Terrifyingly Beautiful World of Computers and Code (3rd Edition) (Zed Shaw's Hard Way Series)

You Will Learn Python!

 

Zed Shaw has perfected the world's most sensible method for studying Python. persist with it and you may succeed-just just like the millions of newbies Zed has taught thus far! You carry the self-discipline, dedication, and endurance; the writer provides every thing else.

 

In Learn Python the difficult means, 3rd Edition, you will study Python via operating via fifty two brilliantly crafted workouts. learn them. kind their code precisely. (No copying and pasting!) repair your errors. Watch the courses run. As you do, you are going to find out how software program works; what solid courses seem like; how you can learn, write, and consider code; and the way to discover and fasten your error utilizing tips specialist programmers use. most significantly, you will examine the subsequent, that you have to commence writing first-class Python software program of your own:

  • Installing a whole Python environment
  • Organizing and writing code
  • Basic mathematics
  • Variables
  • Strings and text
  • Interacting with users
  • Working with files
  • Looping and logic
  • Data buildings utilizing lists and dictionaries
  • Program design
  • Object-oriented programming
  • Inheritance and composition
  • Modules, sessions, and objects
  • Python packaging
  • Debugging
  • Automated testing
  • Basic online game development
  • Basic net development

It'll be not easy in the beginning. yet quickly, you are going to simply get it-and that would suppose nice!

 

This instructional will present you for each minute you place into it. quickly, you are going to recognize one of many world's strongest, well known programming languages. you may be a Python programmer.

 

Watch Zed, too! The accompanying DVD comprises five+ hours of passionate, strong educating: an entire Python video course!

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Python for Everyone

Cay Horstmann?s moment variation of Python for everybody presents a entire and approachable creation to primary programming innovations and layout abilities, and is helping scholars grasp simple options and turn into useful coders. The inclusion of complicated chapters makes the textual content appropriate for a 2 or 3-term series, or as a accomplished connection with programming in Python. significant rewrites and an up to date visible layout make this student-friendly textual content much more attractive. choked with sensible programming examples, a superb volume and diversity of homework assignments, and lab routines that construct scholar problem-solving skills, it really is no shock Python for everybody is the #1 textual content for early items within the Python marketplace.

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Cython: A Guide of Python Programmers

By Kurt W. Smith

Build software program that mixes Python's expressivity with the functionality and keep watch over of C (and C++). It's attainable with Cython, the compiler and hybrid programming language utilized by foundational applications akin to NumPy, and renowned in tasks together with Pandas, h5py, and scikits-learn. during this sensible consultant, you'll how you can use Cython to enhance Python's performance—up to 3000x— and to wrap C and C++ libraries in Python with ease.

Author Kurt Smith takes you thru Cython's features, with pattern code and in-depth perform routines. If you're simply beginning with Cython, or are looking to cross deeper, you'll find out how this language is an important a part of any performance-oriented Python programmer's arsenal.
• Use Cython's static typing to hurry up Python code
• achieve hands-on event utilizing Cython positive factors to spice up your numeric-heavy Python
• Create new forms with Cython—and see how briskly object-oriented programming in Python can be
• successfully manage Cython code into separate modules and programs with out sacrificing performance
• Use Cython to provide Pythonic interfaces to C and C++ libraries
• Optimize code with Cython's runtime and compile-time profiling tools
• Use Cython's prange functionality to parallelize loops transparently with OpenMP

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Participatory Geospatial Development Using Python (Volume 1)

The e-book includes dialogue on raster and vector info processing utilizing Python binding of GDAL/OGR library. additionally, diversified ways of representing spatial reference approach are enumerated. there's a dialogue on LIDAR facts processing utilizing Python binding of libLAS library. except processing geospatial information, the booklet additionally covers plotting of geospatial information. The final bankruptcy bargains with freely to be had geospatial information, comparable to ASTER GDEM, SRTM facts and so forth.

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Two Scoops of Django: Best Practices For Django 1.5

By Daniel Greenfeld

Update!

The 3rd version, Scoops of Django: most sensible Practices For Django 1.8 is offered! Revised and accelerated to 532 pages, it is a complete new booklet choked with new fabric. Please contemplate it sooner than procuring this edition!

http://www.amazon.com/Two-Scoops-Django-Best-Practices/dp/0981467342

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

We'll introduce you to varied information, tips, styles, code snippets, and methods that we now have picked up over the years.

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

What is each person asserting approximately Scoops of Django?

  • “A unmarried read-through of 2 Scoops of Django gave me such a lot of lightbulbs and suggestions; I needed to return for a moment helping.” -- Lynn Root, purple Hat engineer and PyLadies ambassador.
  • Ha ha, I discovered anything within the first bankruptcy. Awesome. -- Zed Shaw, writer of study Python the tough Way.
  • Two Scoops may still supply a few nutrients for inspiration and usable concepts for anyone utilizing Django regularly. -- Malcolm Tredinnick, Django middle Contributor
  • Make convinced you have got your favourite undertaking subsequent to you whereas studying. you may be doing a little rewriting. -- Bryan Veloso, GitHubber, PyCon PH Keynote Speaker
  • If i'll time go back and forth, first thing i would do will be provide my more youthful self a duplicate of this booklet, and make him learn it. -- Randall Degges, Passionate Python Hacker
  • You recognize these classes you examine while initiatives blow up on your face? This booklet includes numerous tasks worthy of such lessons. -- Lennart Regebro, writer of "Porting to Python 3"
  • This publication should still end up to be an awesome source for any new-to-Django developer that choices it up. -- Kenneth Love, writer of "Getting all started with Django"
  • No topic what your ability point is, Scoops has sturdy tips for everyone. -- Jeff Triplett, Developer at Revsys
  • This is the ebook i needed had existed and that i can have learn while i began studying Django. -- Barry Morrison, Linux platforms engineer and Django developer
  • Two Scoops of Django is by means of a long way the simplest Django ebook i have read. -- Ben Beecher on Twitter
  • Are there any negatives? good convinced. just one: I want i have learn it earlier! -- Branko Vukelic

Table of Contents

  • Chapter 1: Coding Conventions
  • Chapter 2: The optimum Django surroundings Setup
  • Chapter three: find out how to Lay Out Django Projects
  • Chapter four: basics of Django App Design
  • Chapter five: Settings and necessities Files
  • Chapter 6: Database/Model most sensible Practices
  • Chapter 7: Function-and Class-Based Views
  • Chapter eight: top Practices for sophistication established Views
  • Chapter nine: universal styles for Forms
  • Chapter 10: extra issues to understand approximately Forms
  • Chapter eleven: construction leisure APIs in Django
  • Chapter 12: Templates: top Practices
  • Chapter thirteen: Template Tags and Filters
  • Chapter 14: Tradeoffs of exchanging center Components
  • Chapter 15: operating With the Django Admin
  • Chapter sixteen: facing the consumer Model
  • Chapter 17: Django's mystery Sauce: Third-Party Packages
  • Chapter 18: checking out bankruptcy of Doom!
  • Chapter 19: Documentation: Be Obsessed
  • Chapter 20: discovering and lowering Bottlenecks
  • Chapter 21: defense most sensible Practices
  • Chapter 22: Logging: suggestions and Tools
  • Chapter 23: indications: Use instances and Avoidance Techniques
  • Chapter 24: What approximately these Random Utilities?
  • Chapter 25: Deploying Django Projects
  • Chapter 26: the right way to free up your personal Django Packages
  • Chapter 27: remaining Thoughts
  • Appendix A: applications pointed out during this Book
  • Appendix B: Troubleshooting

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Pro Python

By Marty Alchin

You’ve realized the fundamentals of Python, yet how do you're taking your talents to the subsequent level? whether you recognize adequate to be effective, there are various beneficial properties which can take you to the following point in Python. seasoned Python, moment version explores innovations and lines often left to experimentation, permitting you to be much more effective and creative.

In addition to natural code issues, professional Python develops your programming options and techniques, with a view to help in making you a greater Python programmer. This e-book will enhance not just your code but additionally your knowing and interplay with the various tested Python communities.

This e-book takes your Python wisdom and coding abilities to the subsequent point. It indicates you the way to jot down fresh, cutting edge code that may be revered by means of your friends. With this publication, make your code do extra with introspection and meta-programming. And study and later use the nuts and bolts of an software, tier-by-tier as a posh case research alongside the way.

For additional information, together with a hyperlink to the resource code referenced within the booklet, please stopover at http://propython.com/.

What you’ll learn

  • Write powerful Python code that would be revered within the Python community
  • Understand the explanations at the back of great layout judgements in Python
  • Write courses that could reconfigure themselves in Python
  • Disguise your code as varieties of gadgets in Python
  • Inspect with regards to any item in Python
  • Prepare your code for overseas audiences
  • Ensure code caliber with rigorous testing

Who this booklet is for

This booklet is for intermediate to complicated Python programmers who're seeking to know how and why Python works how it does and the way they could take their code to the subsequent level.

Table of Contents

1. rules and Philosophy

2. complex fundamentals

3. Functions

4. sessions

5. universal Protocols

6. item administration

7. Strings

8. Documentation

9. Testing

10. Distribution

11. Sheets: A CSV Framework

12. variety advisor for Python

13. vote casting Guidelines

14. The Zen of Python

15. Docstring Conventions

16. Backward Compatibility Policy

17. Python 3000

18. Python Language Moratorium

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Python High Performance Programming

If you may have a minimum of a simple wisdom of Python, this booklet can assist you maximize the functionality of your code and purposes. effortless to persist with tutorials will make you a difficult act to stick to in Python programming.

Overview

  • Identify the bottlenecks on your functions and remedy them utilizing the simplest profiling techniques
  • Write effective numerical code in NumPy and Cython
  • Adapt your courses to run on a number of processors with parallel programming

In Detail

Python is a programming language with a colourful group recognized for its simplicity, code clarity, and expressiveness. the big number of 3rd occasion libraries make it compatible for quite a lot of purposes. This additionally permits programmers to specific thoughts in fewer traces of code than will be attainable in comparable languages. the provision of top of the range numerically-focused instruments has made Python a great selection for prime functionality computing. the rate of functions comes right down to how good the code is written. Poorly written code potential poorly appearing functions, this means that unhappy customers.

This publication is an example-oriented consultant to the innovations used to dramatically enhance the functionality of your Python courses. it's going to train optimization suggestions through the use of natural python tips, excessive functionality libraries, and the python-C integration. The e-book also will comprise a bit on find out how to write and run parallel code.

This publication will train you ways to take any application and make it run a lot speedier. you'll research state-of the artwork concepts through employing them to sensible examples. This publication also will advisor you thru diverse profiling instruments in order to assist you establish functionality concerns on your application. you'll how to accelerate your numerical code utilizing NumPy and Cython. The publication also will introduce you to parallel programming so that you can reap the benefits of sleek multi-core processors.

This is the ideal advisor that will help you in achieving the absolute best functionality on your Python applications.

What you are going to research from this book

  • Assess the functionality of your courses utilizing benchmarks
  • Spot the bottlenecks on your code utilizing the Python profiling tools
  • Speed up your code via changing Python loops with NumPy
  • Boost NumPy functionality utilizing the numexpr compiler
  • Use Cython to arrive functionality on par with the C language
  • Write code for a number of processors
  • Profile, optimize, and rewrite an program from begin to finish

Approach

An intriguing, easy-to-follow advisor illustrating the thoughts to spice up the functionality of Python code, and their purposes with lots of hands-on examples.

Who this publication is written for

If you're a programmer who likes the facility and ease of Python and want to use this language for performance-critical purposes, this publication is perfect for you. All that's required is a uncomplicated wisdom of the Python programming language. The e-book will conceal uncomplicated and complicated issues so can be nice for you no matter if you're a new or a professional Python developer.

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