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Python 3 for Absolute Beginners

:	Tim Hall, J-P Stacey
:	Python 3 for Absolute Beginners
:	Apress
:	9781430216339
:	1
:	CHF 71.00
:

:	Allgemeines, Lexika
:	English

:	300
:	Wasserzeichen/DRM
:	PC/MAC/eReader/Tablet
:	PDF

There are many more people who want to study programming other than aspiring computer scientists with a passing grade in advanced calculus. This guide appeals to your intelligence and ability to solve practical problems, while gently teaching the most recent revision of the programming language Python.

You can learn solid software design skills and accomplish practical programming tasks, like extending applications and automating everyday processes, even if you have no programming experience at all. AuthorsTim Hall andJ-P Stacey use everyday language to decode programming jargon and teach Python 3 to the absolute beginner.

Tim Hall currently provides front-line support for 64 Studio. He has also written newbie tutorials for Linux User and Developer magazine in between more mundane system admin and web authoring jobs. Tim has released albums and performed as a musician and songwriter, both solo and in collaboration with other artists. He has been further honored as the holder of the Bardic chair of Glastonbury between 2005 and 2007. Tim uses Python as his main programming language, primarily as a means for creative ends, because it is easy to read and fun to learn.

	Contents at a Glance	4
	Table of Contents	5
	About the Author	9
	About the Technical Reviewer	10
	Chapter 1: Introducing Python	11
	Running Python on Various Systems	11
	Installing on Windows	12
	Installing on Other Systems	12
	Choosing the Right Python Version	12
	Understanding the Jargon	13
	Learning While Having Fun	14
	Introducing the Interactive Shell	14
	Choosing to Code with a Text Editor	15
	Choosing to Code with an Integrated Development Environment	15
	Getting Started with Programming	15
	Creating Your Own Help Files	16
	Jargon Busting	16
	Summary	17
	Chapter 2: Designing Software	18
	Designing Your Own Software (Why Bother?)	18
	Asking the Right Questions	19
	Using Python to Solve Problems	19
	Identifying the Problem	19
	What Do You Want the Software to Do?	20
	Who Will Be Using It?	20
	What System Will Users Be Running It On?	21
	Creating Your Wish List	21
	Talking to Potential Users	21
	Watching Users Perform the Task at Hand	22
	Compiling User Stories	22
	Devising a Solution	22
	Understanding the Problem	22
	Knowing What the Software Needs to Do	23
	Considering Other Needs or Limitations	23
	Defining Acceptable Results	23
	Considering Maintenance	23
	Breaking Down the Solution into Steps	24
	Organizing the Tasks into Steps	25
	Using Indentation and Subgroups	26
	Refining Each Line of Your Pseudocode Until a Solution Is Reached	26
	Coding the Design	27
	Turning the Design into Executable Code	27
	Further Refining the Design	28
	Using functions	28
	Testing the Design	29
	Detecting and correcting coding errors	30
	Noting Modifications, Extensions, and Enhancements	31
	Documenting the Solution	31
	Jargon Busting	33
	Summary	34
	Chapter 3: Variables and Data Types	35
	Choosing Good Identifiers	35
	Python Keywords	35
	Following the Naming Rules	36
	Creating Variables and Assigning Values	36
	Recognizing Different Types of Variables	37
	Working with Dynamic Typing	37
	In the Beginning Was the Void	39
	Joining Up Text Fragments	39
	Using Quotes	40
	Nesting Quotes	41
	Escaping Sequences	42
	Using Special Whitespace Characters	42
	The More Strings Change the More They Stay the Same	43
	Creating a Text Application	43
	Working with Numbers	45
	Using Binary: Computers Can Only Count to One	45
	Bits and Bytes	45
	Using Booleans: Truth or Dare	45
	Using Whole Numbers (Integers)	46
	Performing Basic Mathematical Operations	46
	Understanding Operator Precedence	47
	Dividing Numbers	47
	Working with Fractions and Floats	48
	Converting One Type into Another	48
	Working with Base 8 (Octal) and Base 16 (Hexadecimal)	49
	Creating a Number Application	51
	Jargon Busting	53
	Summary	55
	Chapter 4: Making Choices	56
	Comparing Things	56
	Manipulating Boolean Values	59
	Combining Conditional Expressions	60
	Using Assignment Operators	60
	Understanding Operator Precedence	61
	Taking Control of the Process	62
	Using the for Statement	76
	Dealing with Logical Errors	64
	Using Conditional Code in the Application	68
	Now Repeat That	72
	Looping with the while Statement	72
	Now Get Out of That	74
	Nesting Conditional Statements	76
	Jargon Busting	80
	Summary	81
	Chapter 5: Using Lists	82
	Working with Python Data Structures	82
	Accessing the items in a sequence	82
	If You’re Not on the List, You Can’t Come In	84
	Tuples	86
	Creating a Tuple	86
	Changing the Values in a Tuple	87
	Lists	87
	Creating a List	87
	Modifying a List	87
	Stacks and Queues	89
	Sorting Lists	89
	Multidimensional Lists	90
	Processing Large Amounts of Data Easily	90
	List Comprehensions	91
	Sets	92
	Dictionaries	93
	Defining Dictionaries	93
	Deleting Items	95
	Sorting Dictionaries	96
	Using Dictionaries	96
	A Simple Role-Playing Combat Game	96
	Jargon Busting	106
	Summary	107
	Chapter 6: Functions	108
	Accessing Privileged Information	108
	Defining Functions	108
	Sending Out Invitations	109
	Passing an Un