By Steven F. Lott
ISBN-10: 1786469251
ISBN-13: 9781786469250
Key Features
- Develop succinct, expressive courses in Python
- Learn the simplest practices and customary idioms via conscientiously defined and dependent recipes
- Discover new how you can practice Python for the recent age of development
Book Description
Python is the popular selection of builders, engineers, facts scientists, and hobbyists all over the place. it's a nice scripting language that could energy your purposes and supply nice pace, defense, and scalability. by way of exposing Python as a sequence of easy recipes, you could achieve perception into particular language positive factors in a specific context. Having a tangible context is helping make the language or general library characteristic more straightforward to understand.
This booklet comes with over a hundred recipes at the most modern model of Python. The recipes will gain each person starting from newbie to a professional. The publication is damaged down into thirteen chapters that construct from uncomplicated language options to extra advanced purposes of the language.
The recipes will comment on the entire beneficial Python innovations concerning info constructions, OOP, sensible programming, in addition to statistical programming. you'll get familiar with the nuances of Python syntax and the way to successfully use the benefits that it deals. you are going to finish the e-book built with the information of trying out, net prone, and configuration and alertness integration information and methods.
The recipes take a problem-solution method of unravel concerns ordinarily confronted through Python programmers around the globe. you may be armed with the data of constructing functions with versatile logging, strong configuration, and command-line suggestions, computerized unit assessments, and sturdy documentation.
What you are going to learn
- See the complex information of the Python syntax and the way to take advantage of it in your advantage
- Improve your code clarity via capabilities in Python
- Manipulate information successfully utilizing integrated info structures
- Get accustomed to complex programming thoughts in Python
- Equip your self with practical and statistical programming features
- Write right checks to be certain a application works as advertised
- Integrate program software program utilizing Python
About the Author
Steven F. Lott has been programming because the 70s, while desktops have been huge, pricey, and infrequent. As a freelance software program developer and architect, he has labored on thousands of tasks, from very small to huge. he is been utilizing Python to resolve enterprise difficulties for over 10 years.
He’s presently leveraging Python to enforce microservices and ETL pipelines. His different titles with Packt Publishing contain Python necessities, getting to know Object-Oriented Python, useful 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 know-how web publication is http://slott-softwarearchitect.blogspot.com and his LinkedIn deal with is https://www.linkedin.com/in/steven-lott-029835.
Table of Contents
- Numbers, Strings, and Tuples
- Statements and Syntax
- Function Definitions
- Built-in facts buildings – record, set, dict
- User Inputs and Outputs
- Basics of sessions and Objects
- More complicated type Design
- Functional and Reactive Programming Features
- Input/Output, actual layout, and Logical Layout
- Statistical Programming and Linear Regression
- Testing
- Web Services
- Application Integration
Read Online or Download Modern Python Cookbook PDF
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Sample text
We didn't show all of them. How it works… Internally, Python uses two kinds of numbers. The conversion between these two is seamless and automatic. For smallish numbers, Python will generally use 4 or 8 byte integer values. Details are buried in CPython's internals, and depend on the facilities of the C-compiler used to build Python. maxsize, Python switches to large integer numbers which are sequences of digits. Digit, in this case, often means a 30-bit value. How many ways can we permute a standard deck of 52 cards?
The math module includes several functions that can help us do more accurate floatingpoint calculations. fsum() function will compute a floating-point sum more carefully than the built-in sum() function. It's less susceptible to approximation issues. isclose((19/155)*(155/19), 1) True This function provides us with a way to compare floating-point numbers meaningfully. Python also offers complex data. This involves a real and an imaginary part. 78 √-1. Python will comfortably convert between float and complex.
To work with float, we often need to round values to make them look sensible. 9999999999999999 2. Mathematically, the value should be 1. Because of the approximations used for float, the answer isn't exact. It's not wrong by much, but it's wrong. 0 3. Know the error term. In this case, we know what the exact answer is supposed to be, so we can compare our calculation with the known correct answer. 1102230246251565e-16 [ 20 ] Numbers, Strings, and Tuples For most floating-point errors, this is the typical value—about 10-16.