Go Crazy: A Fun Projects-based Approach to Golang Programming

Table of Contents....5

About the Author....10

About the Technical Reviewer....11

Acknowledgments....12

Introduction....13

Chapter 1: Go to the Basics....16

First Steps....17

Run and Debug Your First Go Program....17

A Short Note on Debugging with GoLand....23

Before Talking to OpenAI: Reviewing Concepts....25

Read from Input....27

Reading from a File....28

Custom Data: Go Structs....29

Writing and Reading Structs from Files....32

Reading a Struct from a File....34

Slicing Program Arguments....35

Using a Custom Library to Load the API Key....36

Asynchronous Code: Go Routines....40

Asynchronous Code: Go Routines and Channels....40

Using Go Contexts....45

Putting Things Together Into a ChatGPT Client....49

Getting an API Key....49

First Request....51

Customize the ChatGPT Request....53

Create a Loop Prompt....56

Streaming the Response....57

Query and Use a Custom Model....58

Summary....60

Chapter 2: Write a Tested HTTP Image Generator API....62

Pour Me Some Gin!....63

Working with Queues....71

Image Generators....82

Image Generator in a Gin....86

Quick Gin Tonic and Templates....91

Use a Synchronized Map....95

Testing the API....99

Simple Go and Gin Testing....99

Testing the Image Generator....105

Summary....107

Chapter 3: Writing the Basics for a 2D Game in Go....108

Some Tile Set History....108

Library Setup: Raylib....109

Game Setup....110

Quick Game Generation with ChatGPT....112

Display the Date in Real Time....112

Hangman Game....115

The Moyashi Game....118

The Basic Game Loop....120

Loading Textures....122

Adding a Player Texture....125

Using Key Inputs....128

Doing the Game Music....130

Game Camera....133

Animate Sprites....136

Animation for an Idle Moyashi....141

Loading the World Map....142

Loading the Full World Map....146

Full Map and Full Screen....152

Summary....153

Chapter 4: Trend Follower for Blockchain Trading....154

Go Crazy or Go Home....154

Why Trade in the Financial Markets?....156

The Origins of Money....156

The Financial Economy vs. the Real Economy....157

Market Efficiency....158

Why Automate Trading?....159

The Secret Sauce....162

Charts....163

Data....163

News and Content....163

Strategy....164

Backtesting....164

Real-Time Trading....164

The Recipe....165

Clear Objectives and a Structured Approach....165

Macroeconomic Tendencies....166

Timeframe....167

Risk Management....167

Testing and Debugging....167

Performance Evaluation....168

Scalability and Maintainability....168

Compliance and Regulation....168

Security....169

Building Confidence....169

Refining Trading Strategies....170

Utensils in the Kitchen....170

Modern Trading Tool....170

Brokers....174

Cloud Infrastructure....174

Cooking....175

Backtesting....175

Data....176

Indicators....178

Levels....178

Simple Moving Averages....181

Exponential Moving Averages....182

Relative Strength Index....182

Additional Notes....183

Enhancing Discipline and Consistency....184

Why So Many Features?....184

Sample Code....185

Exchange Connectivity (Listing 4-1)....185

Building Indicators (Listing 4-2)....186

The Strategy....187

Run the Bot....189

Performance Evaluation....190

Stats....190

PnL....190

PnL in Backtesting....190

PnL in Real-Time Testing....191

Hit Rate....191

Hit Rate in Trading Strategy Evaluation....192

The Potential Drawbacks of an Excessively High Hit Rate....192

Sharpe Ratio....193

Risk-Adjusted Performance....193

Benchmarking and Comparison....193

Portfolio Diversification....193

Potential Pitfalls....194

MAR Ratio....195

Emphasis on Drawdown Risk....195

Risk-Adjusted Performance....195

Comparison of Strategies....196

Suitability for Trend-Following Strategies....196

Potential Pitfalls....196

Success or Failure and Why....198

Benchmark Comparison....198

Timeframe....198

Risk Management and Continuous Improvement....199

Potential Pitfalls....199

Example of Backtesting Multiple Strategies....199

A Taste Before Serving the Meal....202

Ensuring System Stability....203

Hidden Difficulties....203

Forensic Analysis....203

Potential Pitfalls....205

Dinner Is Served....208

Skin in the Game....209

Fear vs. Greed....209

Which Products to Trade....210

Machine Learning....211

Dessert!....212

The Exponential Age Is Here....212

The Proverbial “Cherry on Top”....213

Appendix....219

Finance Jargon....219

Glossary....219

One-liner....222

Extra Indicators of Interest....223

Tom Demark’s Indicators....223

Extra Statistics....223

Side Notes on Geth....225

Ethereum’s GoLang Implementation: Geth....225

GoLang’s Advantages for Blockchain Development....225

References....226

Chapter 5: Writing a Kubernetes Operator to Run EVM-Compatible Blockchains....228

Setting Up Kubernetes on Your Machine....229

Resources Overview....231

Let’s Run a Pod....233

Demystifying Kubernetes Operators....234

Custom Resource Definition....235

Controller....237

Bootstrapping the Project with Operator-SDK....237

Creating an API....238

Generating the Manifests....240

Configuring the Makefile....240

Implementing the Operator Reconciliation Logic....242

Using the Kubernetes Go SDK....252

Interacting with the JSON-RPC API....261

Using Port-Forward....262

Parameterizing Resources and Ports....263

Implementing the Update Logic....265

Implementing Health Checks....273

Creating a Minimal Go HTTP Server....274

Performing a net_peerCount Health Check....277

Configuring the Readiness Probe....281

Summary....283

Chapter 6: Go Beyond: Connecting to C for a Performance Boost....285

C is for Change....286

Calling C....286

Calling C Code Located in a C File....287

C Code Calling Go Code....288

Passing Parameters....289

Using a Header File....291

Using a C Struct from Go....292

Matisse, ImageMagick, and Sepia....298

ImageMagick on OSX....299

ImageMagick on Linux....302

ImageMagick on Raspberry Pi....302

GPU Coding on OSX....303

Basics: Adding Values from Two Arrays....304

Back to the Plot....308

Generic GPU Processing Go Code....311

Opens ETHUSD Hourlies Quotes: Moving Average....313

Slightly Better Moving Average on the GPU....314

Normalized Set....316

Pearson Coefficient Moving Factor....318

Sepia Gopher....321

Extreme Calling OpenCV/C++ from Go....323

Summary....329

Chapter 7: Alef from Plan 9....330

Plan 9 from Bell Labs....332

The Network Is the Computer....334

The Alef Language....336

Hello Tuple!....337

Channels and Processes....337

Proc and Task....339

Have Fun with Plan 9....343

Index....372

Go beyond the basics of Go and build complete applications using open-source libraries or the Go programming language by Google. This book will take you deep into the memory lane of the Go language with crunchy details straight from outer space.

The applications in this book include the framework for a 2D Go-based game, an image random generator Rest API, financial time series handling for trading, a Kubernetes operator, a Blockchain coding and more. You'll also get refreshers on Go constructs and useful code tricks to build performant projects, and develop an HTTP based cloud ready image generator.

Each chapter will be organized in the following format: what the particular application looks like; requirements and user stories of our example program; an introduction to the Go libraries or frameworks used; and the actual implementation of the example program, including common pitfalls and their solutions.

Go Crazy will open your eyes to a new world of practical applications for Go. After reading the book, you will be able to apply your Golang knowledge to build your own crazy projects. Free source code will be available on this book's Apress GitHub page.

What You'll Learn

• Compile and inline other programming languages, including GPU coding.
• Handle Kubernetes clusters via your own operator
• Write Go to code against Ethereum based block chains.
• Write intelligent bot code to get you rich and famous.

Who This Book Is For

Go programmers both experienced and novice.