Download Modern Python Cookbook by Steven F. Lott PDF

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By Steven F. Lott

Key Features

  • Develop succinct, expressive courses in Python
  • Learn the easiest practices and customary idioms via conscientiously defined and based recipes
  • Discover new how you can practice Python for the recent age of development

Book Description

Python is the popular collection of builders, engineers, information scientists, and hobbyists in every single place. it's a nice scripting language that may energy your purposes and supply nice velocity, safeguard, and scalability. by way of exposing Python as a chain of straightforward recipes, you could achieve perception into particular language gains in a selected context. Having a tangible context is helping make the language or commonplace library function more straightforward to understand.

This e-book comes with over a hundred recipes at the most modern model of Python. The recipes will profit all people starting from newbie to a professional. The ebook is damaged down into thirteen chapters that construct from uncomplicated language techniques to extra complicated functions of the language.

The recipes will comment on all of the worthy Python suggestions with regards to info constructions, OOP, useful programming, in addition to statistical programming. you'll get conversant in the nuances of Python syntax and the way to successfully use the benefits that it bargains. you'll finish the ebook built with the information of trying out, net companies, and configuration and alertness integration suggestions and methods.

The recipes take a problem-solution method of unravel concerns generally confronted through Python programmers around the globe. you'll be armed with the data of constructing purposes with versatile logging, strong configuration, and command-line techniques, computerized unit exams, and sturdy documentation.

What you'll learn

  • See the difficult information of the Python syntax and the way to exploit it for your advantage
  • Improve your code clarity via capabilities in Python
  • Manipulate facts successfully utilizing integrated facts structures
  • Get conversant in complicated programming options in Python
  • Equip your self with practical and statistical programming features
  • Write right exams to make certain a software works as advertised
  • Integrate software software program utilizing Python

About the Author

Steven F. Lott has been programming because the 70s, while pcs have been huge, dear, and infrequent. As a freelance software program developer and architect, he has labored on 1000's of initiatives, from very small to huge. he is been utilizing Python to resolve enterprise difficulties for over 10 years.

He’s at the moment leveraging Python to enforce microservices and ETL pipelines. His different titles with Packt Publishing comprise Python necessities, gaining knowledge of Object-Oriented Python, sensible Python Programming, and Python for mystery Agents.

Steven is presently a technomad who lives in a number of locations at the east coast of the U.S. His expertise web publication is http://slott-softwarearchitect.blogspot.com and his LinkedIn tackle is https://www.linkedin.com/in/steven-lott-029835.

Table of Contents

  1. Numbers, Strings, and Tuples
  2. Statements and Syntax
  3. Function Definitions
  4. Built-in facts buildings – record, set, dict
  5. User Inputs and Outputs
  6. Basics of sessions and Objects
  7. More complex type Design
  8. Functional and Reactive Programming Features
  9. Input/Output, actual layout, and Logical Layout
  10. Statistical Programming and Linear Regression
  11. Testing
  12. Web Services
  13. Application Integration

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Additional resources for Modern Python Cookbook

Sample text

P\w+)' We've replaced representation hints such as words with \w+. We've replaced digits with \d+. And we've replaced single spaces with \s+ to allow one or more spaces to be used as punctuation. We've left the colon in place, because in the regular expression notation, a colon matches itself. P to provide a name that identifies the data we want to extract. We didn't do this around the colon or the spaces because we don't want those characters. REs use a lot of \ characters. To make this work out nicely in Python, we almost always use raw strings.

5. We created the second fraction from a floatingpoint calculation, 5/8. Because the denominator is a power of 2, this works out exactly. The result, 25/16, is a complex-looking fraction. What's a nearby fraction that might be simpler? >>> Fraction(24,16) Fraction(3, 2) We can see that we'll use almost a cup and a half to scale the recipe for five people instead of eight. Floating-point approximations Python's built-in float type is capable of representing a wide variety of values. The tradeoff here is that float often involves an approximation.

Leading zero: We can include 0 to get leading zeros to fill in the front of a number. Something like {code:08x) will produce a hexadecimal value with leading zeroes to pad it out to eight characters. Width and precision: For integer values and strings, we only provide the width. precision. There are some times when we won't use a {name:format} specification. conversion} specification. There are only three conversions available. r} format specification to simplify displaying information about related objects.

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