Practical Programming,2nd Edition An Introduction to Computer Science Using Python 3 by Paul Gries eBook Free Download

 

Practical Programming,2nd Edition An Introduction to Computer Science Using Python 3 by Paul Gries eBook Free Download

Practical Programming,2nd Edition An Introduction to Computer Science Using Python 3 by Paul Gries eBook Free Download

Practical Programming,2nd Edition An Introduction to Computer Science Using Python 3 by Paul Gries eBook Free Download

 

Introduction:

This book is for any individual who needs to comprehend PC programming. You’ll figure out how to program in a dialect that’ s utilized as a part of a great many cell phones, tablets, and PCs. You’ll code alongside the book, composing projects to take care of certifiable issues as you take in the basics of programming utilizing Python 3. You’ll find out about configuration, calculations, testing, and troubleshooting, and leave away with every one of the apparatuses you have to deliver quality code. In this second release, we’ve redesigned all the material, consolidating the lessons we’ve learned in the course of recent years of instructing Python to individuals new to programming.

You needn’t bother with any programming background to begin. To begin with, you’ll get a nitty gritty prologue to Python and to programming. You’ll figure out precisely what happens when your projects are executed. Through true illustrations, you’ll figure out how to work with numbers, content, huge information sets, and documents. At that point you’ll perceive how to make and utilize your own particular information sorts.

The incremental samples demonstrat to you the strides and slips that happen while creating projects, so you comprehend what’s in store when you handle an issue all alone. Propelled by “How to Design Programs” (HtDP), you’ll take in a six-stage formula for planning capacities, which assists you as you begin with learning the ideas – and turns into an essential piece of composing projects by the end.

As you figure out how to utilize the key programming instruments in the first 50% of the book, you’ll perceive how to record and compose your code so that you and different software engineers can all the more effectively read and comprehend it. Past the fundamentals, you’ll figure out how to guarantee that your projects are dependable, and how to work with databases, download information from the web naturally, and construct client interfaces. Above all, you’ll figure out how to adopt the thought process of an expert developer.

About the Author:

Paul Gries has been educating in the Department of Computer Science at the University of Toronto for over 15 years. Amid his time at UofT, Paul has won various showing honors, including UofT’s most prestigious showing recompense and a vast instructing grant. Paul has likewise co-created two course readings, has been a pioneer in departmental educational modules configuration and recharging, and, with Jen, got the chance to instruct Python to a huge number of understudies in a MOOC.

Jennifer Campbell is a senior teacher in the Department of Computer Science at the University of Toronto. In the course of recent years, Jen’s essential center has been on showing and educational programs configuration of initial courses. Jen is included in a few undertakings investigating understudy encounters in basic software engineering courses and the elements that add to achievement, including the adequacy of the rearranged classroom.

Jason Montojo is an examination officer at the Donnelly Center for Cellular and Biomolecular Research at the University of Toronto, where he creates investigative programming for the Cytoscape and GeneMANIA ventures. He has a solid enthusiasm for showing software engineering and much of the time coaches understudies for Google’s Summer of Code system.

Contents:

Affirmations . . . . . . . . . . . xi

Prelude . . . . . . . . . . . . . . xiii

1. What’s Programming? . . . . . . . . . . 1

1.1 Programs and Programming 2

1.2 What’s a Programming Language? 3

1.3 What’s a Bug? 4

1.4 The Difference Between Brackets, Braces, and Enclosures 5

1.5 Installing Python 5

2. Hi, Python . . . . . . . . . . . . . 7

2.1 How Does a Computer Run a Python Program? 7

2.2 Expressions and Values: Arithmetic in Python 9

2.3 What Is a Type? 12

2.4 Variables and Computer Memory: Remembering Values 15

2.5 How Python Tells You Something Went Wrong 22

2.6 A Single Statement That Spans Multiple Lines 23

2.7 Describing Code 25

2.8 Making Code Readable 26

2.9 The Object of This Chapter 27

2.10 Exercises 27

3. Outlining and Using Functions . . . . . . . . 31

3.1 Functions That Python Provides 31

3.2 Memory Addresses: How Python Keeps Track of Values 34

3.3 Defining Our Own Functions 35

3.4 Using Local Variables for Temporary Storage 39

3.5 Tracing Function Calls in the Memory Model 40

3.6 Designing New Functions: A Recipe 47

3.7 Writing and Running a Program 59

3.8 Omitting a Return Statement: None 60

3.9 Dealing with Situations That Your Code Doesn’t Handle 61

3.10 What Did You Call That? 62

3.11 Exercises 63

4. Working with Text . . . . . . . . . . . 65

4.1 Creating Strings of Characters 65

4.2 Using Special Characters in Strings 68

4.3 Creating a Multiline String 70

4.4 Printing Information 70

4.5 Getting Information from the Keyboard 73

4.6 Quotes About Strings in This Text 74

4.7 Exercises 75

5. Settling on Choices . . . . . . . . . . . . 77

5.1 A Boolean Type 77

5.2 Choosing Which Statements to Execute 86

5.3 Nested If Statements 92

5.4 Remembering the Results of a Boolean Expression

Assessment 92

5.5 You Learned About Booleans: True or False? 94

5.6 Exercises 94

6. A Modular Approach to Program Organization . . . . 99

6.1 Importing Modules 100

6.2 Defining Your Own Modules 104

6.3 Testing Your Code Semiautomatically 109

6.4 Tips for Grouping Your Functions 112

6.5 Organizing Our Thoughts 113

6.6 Exercises 114

7. Utilizing Methods . . . . . . . . . . . . 115

7.1 Modules, Classes, and Methods 115

7.2 Calling Methods the Object-Oriented Way 117

7.3 Exploring String Methods 119

7.4 What Are Those Underscores? 123

7.5 A Methodical Review 125

7.6 Exercises 125

8. Putting away Collections of Data Using Lists . . . . . . 129

8.1 Storing and Accessing Data in Lists 129

8.2 Modifying Lists 133

Substance • vi

8.3 Operations on Lists 134

8.4 Slicing Lists 137

8.5 Aliasing: What’s in a Name? 138

8.6 List Methods 140

8.7 Working with a List of Lists 142

8.8 A Summary List 144

8.9 Exercises 1

Practical Programming,2nd Edition An Introduction to Computer Science Using Python 3 by Paul Gries eBook Free Download

 

Practical Programming,2nd Edition An Introduction to Computer Science Using Python 3 by Paul Gries eBook Free Download

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