Tanmay Teaches Julia for Beginners: A Springboard to Machine Learning for All Ages

Tanmay Teaches Julia for Beginners: A Springboard to Machine Learning for All Ages

by Tanmay Bakshi


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A quick guide to start writing your own fun and useful Julia apps—no prior experience required!

This engaging guide shows, step by step, how to build custom programs using Julia, the open-source, intuitive scripting language. Written by 15-year-old technology phenom Tanmay Bakshi, the book is presented in an accessible style that makes learning easy and enjoyable. Tanmay Teaches Julia for Beginners: A Springboard to Machine Learning for All Ages clearly explains the basics of Julia programming and takes a look at cutting-edge machine learning applications. You will also discover how to interface your Julia apps with code written in Python.

Inside, you’ll learn to:

• Set up and configure your Julia environment
• Get up and running writing your own Julia apps
• Define variables and use them in your programs
• Use conditions, iterations, for-loops, and while-loops
• Create, go through, and modify arrays
• Build an app to manage things you lend and get back from your friends
• Create and utilize dictionaries
• Simplify maintenance of your code using functions
• Apply functions on arrays and use functions recursively and generically
• Understand and program basic machine learning apps

Product Details

ISBN-13: 9781260456639
Publisher: McGraw-Hill Professional Publishing
Publication date: 11/29/2019
Pages: 192
Sales rank: 1,189,140
Product dimensions: 7.30(w) x 9.10(h) x 0.80(d)

About the Author

Tanmay Bakshi is a 15 year-old author, AI/ML expert, TED and keynote speaker, and a media personality who has addressed over 200,000 executives, leaders, intellectuals, and developers at international conferences, schools, universities, financial institutions, and multinationals. His passion to develop algorithms and work with machine learning lead him to apply this tech mainly in the fields of education and healthcare.

His goal is to help at least 100,000 aspiring coders in learning how to code through his workshops and seminars. Tanmay’s YouTube channel called “Tanmay Teaches” has earned him numerous recognitions like IBM Champion for Cloud and Google Developer Expert for Machine Learning.

Table of Contents

Foreword Dr. Viral B. Shah xiii

Preface xv

Acknowledgments xvii

1 Introduction and Setting Up Your Julia Environment 1

Programming and Its Impacts 2

Why Julia? 2

Rationale Behind Learning Julia 4

What Does This Book Aim to Cover? 7

Setting Up to Work with Julia 7

2 Variables and Input 11

What Are Variables? 12

Using Simple Variables in Julia to Store Information 13

Taking, Storing, and Using Input from a User 16

Operators and Syntax 19

Types of Variables 21

Converting Between Variables 25

3 Conditions and Iterations 31

What Is a Condition? 32

What Are Conditional Operators? 32

How Computers Make Decisions Using if/elseif/else Statements 35

Practice 1 38

What Are Iterations? 39

How to Iterate Using/or Loops 39

Exercise 44

How to Iterate Using while Loops 45

4 Arrays and Dictionaries 51

What Are Arrays and Why Are They Required? 52

How to Create, Go Through, and Modify Arrays 52

Some Operations on Arrays 55

What Are Dictionaries and What Are Their Advantages Over Arrays? 67

Creating and Using Dictionaries 68

Building the Lending App Using Dictionaries 71

Some Useful Functions Available in Julia 73

Split() Function 73

Join() Function 74

Collect() Function 75

5 Functions 79

Functions and How to Use Them 80

Functions Help in Reducing Errors and Easy Maintenance of Code 80

Declaring and Calling Functions 82

Functions That Return Values 85

Functions with Optional Keyword Arguments 94

Applying Functions on Arrays 101

Generic Functions 102

Using Functions Recursively 105

6 Handling Errors and Exceptions 109

Bugs and Debugging 110

What Are Errors? 110

What Are Exceptions? 113

Tricks to Find and Eradicate Bugs 116

7 Package Management 119

What Are REST APIs? 121

How to Install and Use Packages 122

Tanmay Teaches 125

Multiprocessing and How It's Used in Julia 126

Calling Code from Other Languages 132

8 Reading and Writing Files 135

Why Are Files Useful? 136

How Do You Read a File in Julia? 136

How Do You Write to Files in Julia? 137

Creating a Caesar Cipher in Julia 138

9 How Machines Learn 145

What Is Machine Learning? 146

How Does Machine Learning Work? 149

Style Transfer Using Flux 150

A Primer on the Calculus Behind Machine Learning 155

Using Flux's Automatic Differentiation to Train a Simple Perceptron 159

10 Next Steps and Resources 163

What to Do to Sharpen Your Skills 164

Resources Available 164

Index 167

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