Test driven development is thought of as a practice every developer should adhere to, yet many of us privately struggle to be productive using TDD. In this article we explore some of the reasons why TDD isn't always a great choice and can hinder your productivity
Everyone keeps saying you should be testing, but are they right? In this article we discuss the downsides to trying to learn testing too early and how it can negatively affect your ability to learn to code.
It is easy to get confused by when and why different variants of nil will be equal and when they won't be in Go. In this article we explore why this happens so that you know what to expect when writing your code.
Go's duck typing allows us to write implementations before interfaces, but it also enables so much more. In this article we explore how duck typed interfaces allow us to communicate clear requirements in our functions and structs.
This is a write-up of a talk I gave at the Gotham Go conference in 2018. It won’t be identical to the talk, but should cover the same topics and convey the same message. Whenever the videos from the conference are posted online I’ll also link to it from here. Slides from this talk can be found here. What is Gophercises? Gophercises is a free course I created that is composed of mini-exercises to help budding Gophers (Go developers) practice writing Go code and gain familiarity with different aspects of the language.
A common misconception is that a JSON API is vastly different from a web application that renders server-side HTML. In this article we explore how to convert an HTML-based web app into a JSON API in order to demonstrate how similar the two really are in a well designed app.
Learn how to perform common operations with strings in Go. This article discusses how to write multiline strings, concatenate strings efficiently, convert various data types into strings, checking for prefixes, and converting strings to byte slices.
Go's template package provides many useful built-in functions. Learn to use a few of the more common ones, as well as how to add custom fucntions to your templates so that you can add any functionality you need.
This tutorial explains how to connect to a Postgres DB using the database/sql and lib/pq packages. It also covers potential errors and solutions.
A tutorial explaining how to create a custom rand package with functions for creating random strings of varying length with custom of preset character sets.
Learn to insert new records into a Postgres database using Go's database/sql package, along with how to get the resulting ID of newly created records.
Learn about the difference between capacity and length and how to properly utilize them to make your Go code faster, cleaner, and memory efficient.
↓ Or check out some of my longer series. ↓
Each series covers a broader topic and is composed of several articles
PostgreSQL is an open source relational database system that has been around for well over a decade and has proven to be a great all around storage choice when developing a web application.
In this series we are going to walk through everything from first installing PostgreSQL 9.5 all the way to using it with a Go application. While this post will cover all of the basics required to get started using SQL with Golang, it is not a full course on SQL. It is instead intended to guide you by giving you enough information to be productive, while not overloading you with details that can be learned as you progress.
In this series we will cover topics like:
database/sqlpackage provided by Go's standar library. Again, this includes querying, inserting, updating, and deleting records.
Algorithms are a core component in a computer science education, and when taught properly they can help a developer improve his or her skills massively. In this series we will work to both understand how common computer algorithms work, as well as how to properly code each of them in Go.
By coding each algorithm as we learn it, you will develop the skills necessary to translate a conceptual idea into correct and efficient code. While many developers will know how to solve a problem set before them, oftentimes bugs and issues can stem from minor mistakes that algorithm practice can help remedy.
In addition to coding each algorithm we will also discuss how it works as well as the efficiency of each algorithm. That is, we will discuss how fast or slow the code will be based on the size of the input. This is important because in many real world situations you can opt for simpler - but slower - code if you know your inputs won't be too large. Alternatively, you could determine that the simpler solution won't work for your inputs and know that you will need to spend some extra time on a more efficient algorithm.
If you are relatively new to programmer, or simply don't have a formal computer science education, I invite you to check out these articles. You won't be disappointed!
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Jon Calhoun is a full stack web developer who also teaches about Go, web development, algorithms, and anything programming related. He also consults for other companies who have development needs. (If you need some development work done, get in touch!)
Jon is a co-founder of EasyPost, a shipping API that many fortune 500 companies use to power their shipping infrastructure, and prior to founding EasyPost he worked at google as a software engineer.
©2018 Jonathan Calhoun. All rights reserved.