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You are reading: Best python books 2018
but there are eternal issues. one of them is python. it is understandable, the language is perfect for those who are not at all familiar with programming; you can study all the major libraries in a couple of weeks, and the possibilities are virtually limitless. we looked at the electronic shelves of the amazon store to see what utility was released or reissued by python in the first half of 2018.
Computer Programming for Beginners: Fundamentals of Programming Terms and Concepts, Nathan Clark
Before we jump right into the language, let me recommend this book to you. Of what has emerged in recent years, this is perhaps the most comprehensive and readable introduction to programming.
It is perfect for those who do not understand anything about programming. only two hundred pages is very laconic, but at the same time it is clearly described:
- all the main programming terms with definitions.
- what are states, operators, functions, scopes and usages?
- what do programs look like in different languages: structure, assembly, and debugging.
- what is oop, how is it different from functional programming, and when to use it?
- how to work with memory: logging, management, cleanup, management .
All this is accompanied by examples in the c#, python and java languages, so that you not only become familiar with programming in theory but also begin to delve into it in practice.
python programming: for beginners, fierce navi
Judging from the reviews alone, this is one of the best books for beginners. here, without a deeper understanding of the mechanics of the processes (with this you can see in the previous book), you give basic knowledge of programming in general, and only then about the syntax of python, the structure of programs, the main libraries , and capabilities. everything is written in plain language, so you can read it at least in front of the computer, even while lying on the beach on vacation.
You will certainly not feel like a ready-made specialist on the way out, but you will definitely be fired by the desire to further your education in this direction. plus, the book is packed with basic examples, so in future practice, you’ll often return to a new study of individual chapters.
Python Programming: A Step-by-Step Guide for Beginners, Brian Jenkins
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this book is more suitable for those who don’t want to delve into the jungle of theory, but rather understand a new language, strictly following the steps from installation to writing the first serious program in python 3. of course, this is not It is a book that can be studied away from the computer.
The material is extremely chewy and accompanied by a lot of examples, so you will not have white spots after reading it, everything will be assimilated even at the level of mechanical memory. All in all, this is a good guide for education if you only have a few days to spare.
python: — the bible- 3 manuscripts in 1 book: -beginner’s python programming -intermediate python programming -advanced python programming, maurice j. thompson
a collection of three books, which will suit those who are sure their future will be connected to python. each part is designed for a certain level of preparation. the stated duration of training in this manual is 21 days. however, don’t think that this time will be enough to turn you into an out-of-the-box specialist.
The first part deals with basic questions:
- what is python? what are its advantages over other languages?
- how to start?
- what are variables, strings, lists, dictionaries, etc.?
- ? what does the python program look like? why is it important to follow certain style rules?
- how to create the first project?
The second and third parts reveal deeper questions, for example:
- how does python work with memory?
- what does oop look like in python?
- how should I debug and test programs?
- what are iterators and generators? how to use them?
this is just a small list of topics under consideration: in the bible, there are answers to all questions about the language, but in exactly the volume that can be accommodated in just three books.
python programming: the basic, blackhat, intermediate and advanced guide to python programming, richard ozer
similar to the previous collection, but consists of four parts. here a little more information, a little more examples, in the “advanced” parts a little more emphasis on python mechanisms. overall, it’s the same comprehensive language guide that’s handy to have on hand for years of programming.
python machine learning: a beginner’s guide, leonard eddison
from general books on language, we turn to the manual for beginners, who are interested not only in python but also in its use in the field of artificial intelligence. Even though the title says the book is for beginners, it’s best to familiarize yourself with the language beforehand, because the main emphasis here won’t be so much on it, but on working with data.
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The main objective of the author is to show how the world of data science works, how information is structured, processed and placed in algorithms that later use artificial intelligence. that is, it is not a classic step-by-step guide, so the book will be interesting even for those who study other languages, or do not program at all.
Illustrated python programming for beginners & intermediates:: “learn-by-doing” approach: definitive step-by-step guide to mastering python: the future is here!, william sullivan
Another step-by-step guide with working code examples. the main difference from most other books is the amount of information. this means you don’t have to go to the store for the next book right after you create the first program. With the help of this guide, you will be able to practice functional programming, learn how to create informative diagrams, and master the professional style of writing code. and all this thanks to a huge number of examples, seasoned with a detailed description of the processes.
coding: raspberry pi and python: a beginner’s guide, leonard eddison
another very high quality book from addison, consisting of two parts. the first is dedicated to the educational program in python; can be used in conjunction with the previously mentioned book “machine learning python…”. the second part – the knowledge of the use of python, the capabilities of one of the most popular concert platforms. All in all, this is a very convenient desktop guide for those who decide to build their own robot or make their own house a little smarter.
Direct examples from the category “how to assemble a machine for watering plants” are not here, but if you don’t understand much about programming, the book will be very useful.
coding: the bible: 2 manuscripts: python and raspberry pi, larry lutz
Similar in structure to a two-book collection, but slightly larger. here, not only issues related to the language itself are discussed in detail, but also important points such as code optimization, reliability, and modularity. after reading the question with python you can close; everything else will be in the field of engineering and the desire to find the answers independently.
part two introduces the raspberry pi platform. you will learn how to put an operating system on the device and start working with it using python. unlike the previous book, there are practical examples, but still not in the amount that you didn’t have to strain your brain.
machine learning: step-by-step guide to implement machine learning algorithms with python, rudolph russell
We end our review with another book on the current topic: machine learning. unlike addison’s book, here it is initially assumed that you have the knowledge and experience of working with python. The book will appeal to everyone on the topic of artificial intelligence and big data, but because of the abundance of examples using libraries like pandas, matplotlib, and sklearn, it’s of particular value to Pythonists. there are a large number of illustrations and code examples (as far as possible in a 100-page book), as well as explanations through which the author explains the main algorithms for data processing. overall, this is one of the best books on mo in python.
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