Python 3 Without Prior Knowledge: Learn how to program a neural network within 7 days
- Length: 194 pages
- Edition: 1
- Language: English
- Publication Date: 2021-09-19
- ISBN-10: B09GPWFPJP
- Sales Rank: #0 (See Top 100 Books)
Python Without Prior Knowledge – Learn how to program a neural network within 7 days
2 in 1: Now you get the eBook in PDF format for free when you buy the paperback!
Wouldn’t you like to learn how to program Python 3 without any previous knowledge?
No problem – with the help of this beginner’s guide, you will be able to understand the basic principles of object-oriented programming around variables, loops and classes in no time.
This guidebook covers the basics of Python programming. Real practical examples, graphics and smaller exercises help in parallel with understanding.
With the help of this beginner’s guidebook, many satisfied readers have already been able to get started and expand their own skills, see for yourself!
Advantages of this book:
- Simply explained – written for everyone to understand
- To the point – 140 pages in a practical paperback format
- Close to everyday life – real practical examples to help you calculate
- Clear and structured – important mnemonics and formulas are highlighted
- Bonus chapter included
What this book contains
- Setting up the required software
- Introduction to the basic concepts of programming
- Data storage and processing
- Object-oriented programming
- Creating a graphical user interface
- Bonus: Artificial intelligence/ neural networks explained for beginners
Don’t hesitate any longer, order the guide now and write your own Python program soon!
1.Preface and introduction 2.Preparation - Install interpreter and text editor 2.1.The text editor 2.2.Installing Anaconda 3.Programming - the most important building blocks 3.1.Comments 3.2.Docstrings 3.3.Instructions 3.4.Console output with print() 3.5.Variables 3.6.Data types 3.7.User input with input() 3.8.Rounds with round 3.9.Data type conversion 3.10.Operators 3.11.Functions 4.Data storage and processing 4.1.Lists 4.2.Edit lists 4.3.Tuple 4.4.Dictionaries 4.5.Loops and conditions 4.6.if-condition 4.7.While loop 4.8.The for loop 4.9.Cancel with break() 4.10.Exercise - Lists and Dictionaries 4.11.Solution 4.12.Creating functions yourself 4.13.Set standard arguments 4.14.Outsourcing functions in modules 4.15.Libraries 4.16.Exercise - Calculate average grade 4.17.Solution 5.Object-oriented programming OOP 5.1.Classes 5.2.Encapsulation of classes -public, protected, private 5.3.Methods 5.4.Set and Get methods 5.5.__del__ method 5.6.Exercise - Password protection 5.7.Solution 5.8.Class variables 5.9.Exercise - average height 5.10.Solution 5.11.Inheritance 5.12.Outsource classes 5.13.Exercise - Playing the Lottery 5.14.Solution 6.Creating graphic surfaces 6.1.Tkinter - various building blocks 6.2.Visual design of the windows 6.3.The grid manager 6.4.Place Manager 6.5.Loading PNG files 6.6.Highlighting objects in colour 6.7.Exercise-Calculator 6.8.Solution 7.Artificial intelligence and neural networks 7.1.Aim and benefit of AI 7.2.Structure of a neural network 7.3.How does a neural network learn? 7.4.Data stream optimised programming 7.5.Arrays and numpy Free eBook
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