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      May 2019

      Understanding Data Types in Go


      Data types specify the kinds of values that particular variables will store when you are writing a program. The data type also determines what operations can be performed on the data.

      In this article, we will go over the important data types native to Go. This is not an exhaustive investigation of data types, but will help you become familiar with what options you have available to you in Go. Understanding some basic data types will enable you to write clearer code that performs efficiently.


      One way to think about data types is to consider the different types of data that we use in the real world. An example of data in the real world are numbers: we may use whole numbers (0, 1, 2, …), integers (…, -1, 0, 1, …), and irrational numbers (π), for example.

      Usually, in math, we can combine numbers from different types, and get some kind of an answer. We may want to add 5 to π, for example:

      5 + π

      We can either keep the equation as the answer to account for the irrational number, or round π to a number with an abbreviated number of decimal places, and then add the numbers together:

      5 + π = 5 + 3.14 = 8.14 

      But, if we start to try to evaluate numbers with another data type, such as words, things start to make less sense. How would we solve for the following equation?

      shark + 8

      For computers, each data type is quite different—like words and numbers. As a result we have to be careful about how we use varying data types to assign values and how we manipulate them through operations.


      Like in math, integers in computer programming are whole numbers that can be positive, negative, or 0 (…, -1, 0, 1, …). In Go, an integer is known as an int. As with other programming languages, you should not use commas in numbers of four digits or more, so when you write 1,000 in your program, write it as 1000.

      We can print out an integer in a simple way like this:




      Or, we can declare a variable, which in this case is a symbol of the number we are using or manipulating, like so:

      var absoluteZero int = -459



      We can do math with integers in Go, too. In the following code block, we will use the := assignment operator to declare and instantiate the variable sum:

      sum := 116 - 68



      As the output shows, the mathematical operator - subtracted the integer 68 from 116, resulting in 48. You’ll learn more about variable declaration in the Declaring Data Types for Variables section.

      Integers can be used in many ways within Go programs. As you continue to learn about Go, you’ll have a lot of opportunities to work with integers and build upon your knowledge of this data type.

      Floating-Point Numbers

      A floating-point number or a float is used to represent real numbers that cannot be expressed as integers. Real numbers include all rational and irrational numbers, and because of this, floating-point numbers can contain a fractional part, such as 9.0 or -116.42. For the purposes of thinking of a float in a Go program, it is a number that contains a decimal point.

      Like we did with integers, we can print out a floating-point number in a simple way like this:




      We can also declare a variable that stands in for a float, like so:

      absoluteZero := -459.67



      Just like with integers, we can do math with floats in Go, too:

      var sum = 564.0 + 365.24



      With integers and floating-point numbers, it is important to keep in mind that 3 ≠ 3.0, as 3 refers to an integer while 3.0 refers to a float.

      Sizes of Numeric Types

      In addition to the distinction between integers and floats, Go has two types of numeric data that are distinguished by the static or dynamic nature of their sizes. The first type is an architecture-independent type, which means that the size of the data in bits does not change, regardless of the machine that the code is running on.

      Most system architectures today are either 32 bit or 64 bit. For instance, you may be developing for a modern Windows laptop, on which the operating system runs on a 64-bit architecture. However, if you are developing for a device like a fitness watch, you may be working with a 32-bit architecture. If you use an architecture-independent type like int32, regardless of the architecture you compile for, the type will have a constant size.

      The second type is an implementation-specific type. In this type, the bit size can vary based on the architecture the program is built on. For instance, if we use the int type, when Go compiles for a 32-bit architecture, the size of the data type will be 32 bits. If the program is compiled for a 64-bit architecture, the variable will be 64 bits in size.

      In addition to data types having different sizes, types like integers also come in two basic types: signed and unsigned. An int8 is a signed integer, and can have a value from -128 to 127. A uint8 is an unsigned integer, and can only have a positive value of 0 to 255.

      The ranges are based on the bit size. For binary data, 8 bits can represent a total of 256 different values. Because an int type needs to support both positive and negative values, an 8-bit integer (int8) will have a range of -128 to 127, for a total of 256 unique possible values.

      Go has the following architecture-independent integer types:

      uint8       unsigned  8-bit integers (0 to 255)
      uint16      unsigned 16-bit integers (0 to 65535)
      uint32      unsigned 32-bit integers (0 to 4294967295)
      uint64      unsigned 64-bit integers (0 to 18446744073709551615)
      int8        signed  8-bit integers (-128 to 127)
      int16       signed 16-bit integers (-32768 to 32767)
      int32       signed 32-bit integers (-2147483648 to 2147483647)
      int64       signed 64-bit integers (-9223372036854775808 to 9223372036854775807)

      Floats and complex numbers also come in varying sizes:

      float32     IEEE-754 32-bit floating-point numbers
      float64     IEEE-754 64-bit floating-point numbers
      complex64   complex numbers with float32 real and imaginary parts
      complex128  complex numbers with float64 real and imaginary parts

      There are also a couple of alias number types, which assign useful names to specific data types:

      byte        alias for uint8
      rune        alias for int32

      The purpose of the byte alias is to make it clear when your program is using bytes as a common computing measurement in character string elements, as opposed to small integers unrelated to the byte data measurement. Even though byte and uint8 are identical once the program is compiled, byte is often used to represent character data in numeric form, whereas uint8 is intended to be a number in your program.

      The rune alias is a bit different. Where byte and uint8 are exactly the same data, a rune can be a single byte or four bytes, a range determined by int32. A rune is used to represent a Unicode character, whereas only ASCII characters can be represented solely by an int32 data type.

      In addition, Go has the following implementation-specific types:

      uint     unsigned, either 32 or 64 bits
      int      signed, either 32 or 64 bits
      uintptr  unsigned integer large enough to store the uninterpreted bits of a pointer value 

      Implementation-specific types will have their size defined by the architecture the program is compiled for.

      Picking Numeric Data Types

      Picking the correct size usually has more to do with performance for the target architecture you are programming for than the size of the data you are working with. However, without needing to know the specific ramifications of performance for your program, you can follow some of these basic guidelines when first starting out.

      As discussed earlier in this article, there are architecture-independent types, and implementation-specific types. For integer data, it’s common in Go to use the implementation types like int or uint instead of int64 or uint64. This will typically result in the fastest processing speed for your target architecture. For instance, if you use an int64 and compile to a 32-bit architecture, it will take at least twice as much time to process those values as it takes additional CPU cycles to move the data across the architecture. If you used an int instead, the program would define it as a 32-bit size for a 32-bit architecture, and would be significantly faster to process.

      If you know you won’t exceed a specific size range, then picking an architecture-independent type can both increase speed and decrease memory usage. For example, if you know your data won’t exceed the value of 100, and will only be a positive number, then choosing a uint8 would make your program more efficient as it will require less memory.

      Now that we have looked at some of the possible ranges for numeric data types, let’s look at what will happen if we exceed those ranges in our program.

      Overflow vs. Wraparound

      Go has the potential to both overflow a number and wraparound a number when you try to store a value larger than the data type was designed to store, depending on if the value is calculated at compile time or at runtime. A compile time error happens when the program finds an error as it tries to build the program. A runtime error happens after the program is compiled, while it is actually executing.

      In the following example, we set maxUint32 to its maximum value:

      package main
      import "fmt"
      func main() {
          var maxUint32 uint32 = 4294967295 // Max uint32 size

      It will compile and run with the following result:



      If we add 1 to the value at runtime, it will wraparound to 0:



      On the other hand, let’s change the program to add 1 to the variable when we assign it, before compile time:

      package main
      import "fmt"
      func main() {
          var maxUint32 uint32 = 4294967295 + 1

      At compile time, if the compiler can determine a value will be too large to hold in the data type specified, it will throw an overflow error. This means that the value calculated is too large for the data type you specified.

      Because the compiler can determine it will overflow the value, it will now throw an error:


      prog.go:6:36: constant 4294967296 overflows uint32

      Understanding the boundaries of your data will help you avoid potential bugs in your program in the future.

      Now that we have covered numeric types, let’s look at how to store boolean values.


      The boolean data type can be one of two values, either true or false, and is defined as bool when declaring it as a data type. Booleans are used to represent the truth values that are associated with the logic branch of mathematics, which informs algorithms in computer science.

      The values true and false will always be with a lowercase t and f respectively, as they are pre-declared identifiers in Go.

      Many operations in math give us answers that evaluate to either true or false:

      • greater than
        • 500 > 100 true
        • 1 > 5 false
      • less than
        • 200 < 400 true
        • 4 < 2 false
      • equal
        • 5 = 5 true
        • 500 = 400 false

      Like with numbers, we can store a boolean value in a variable:

      myBool := 5 > 8

      We can then print the boolean value with a call to the fmt.Println() function:


      Since 5 is not greater than 8, we will receive the following output:



      As you write more programs in Go, you will become more familiar with how booleans work and how different functions and operations evaluating to either true or false can change the course of the program.


      A string is a sequence of one or more characters (letters, numbers, symbols) that can be either a constant or a variable. Strings exist within either back quotes ` or double quotes " in Go and have different characteristics depending on which quotes you use.

      If you use the back quotes, you are creating a raw string literal. If you use the double quotes, you are creating an interpreted string literal.

      Raw String Literals

      Raw string literals are character sequences between back quotes, often called back ticks. Within the quotes, any character will appear just as it is displayed between the back quotes, except for the back quote character itself.

      a := `Say "hello" to Go!`


      Say "hello" to Go!

      Usually, backslashes are used to represent special characters in strings. For example, in an interpreted string, n would represent a new line in a string. However, backslashes have no special meaning inside of raw string literals:

      a := `Say "hello" to Go!n`

      Because the backslash has no special meaning in a string literal, it will actually print out the value of n instead of making a new line:


      Say "hello" to Go!n

      Raw string literals may also be used to create multiline strings:

      a := `This string is on 
      multiple lines
      within a single back 
      quote on either side.`


      This string is on multiple lines within a single back quote on either side.

      In the preceding code blocks, the new lines were carried over literally from input to output.

      Interpreted String Literals

      Interpreted string literals are character sequences between double quotes, as in "bar". Within the quotes, any character may appear except newline and unescaped double quotes. To show double quotes in an interpreted string, you can use the backslash as an escape character, like so:

      a := "Say "hello" to Go!"


      Say "hello" to Go!

      You will almost always use interpreted string literals because they allow for escape characters within them. For more on working with strings, check out An Introduction to Working with Strings in Go.

      Strings with UTF-8 Characters

      UTF-8 is an encoding scheme used to encode variable width characters into one to four bytes. Go supports UTF-8 characters out of the box, without any special setup, libaries, or packages. Roman characters such as the letter A can be represented by an ASCII value such as the number 65. However, with special characters such as an international character of , UTF-8 would be required. Go uses the rune alias type for UTF-8 data.

      a := "Hello, 世界"

      You can use the range keyword in a for loop to index through any string in Go, even a UTF-8 string. for loops and range will be covered in more depth later in the series; for now, it’s important to know that we can use this to count the bytes in a given string:

      package main
      import "fmt"
      func main() {
          a := "Hello, 世界"
          for i, c := range a {
              fmt.Printf("%d: %sn", i, string(c))
          fmt.Println("length of 'Hello, 世界': ", len(a))

      In the above code block, we declared the variable a and assigned the value of Hello, 世界 to it. The text assigned has UTF-8 characters in it.

      We then used a standard for loop as well as the range keyword. In Go, the range keyword will index through a string returning one character at a time, as well as the byte index the character is at in the string.

      Using the fmt.Printf function, we provided a format string of %d: %sn. %d is the print verb for a digit (in this case an integer), and %s is the print verb for a string. We then provided the values of i, which is the current index of the for loop, and c, which is the current character in the for loop.

      Finally, we printed the entire length of the variable a by using the builtin len function.

      Earlier, we mentioned that a rune is an alias for int32 and can be made up of one to four bytes. The character takes three bytes to define and the index moves accordingly when ranging through the UTF-8 string. This is the reason that i is not sequential when it is printed out.


      0: H 1: e 2: l 3: l 4: o 5: , 6: 7: 世 10: 界 length of 'Hello, 世界': 13

      As you can see, the length is longer than the number of times it took to range over the string.

      You won’t always be working with UTF-8 strings, but when you are, you’ll now understand why they are runes and not a single int32.

      Declaring Data Types for Variables

      Now that you know about the different primitive data types, we will go over how to assign these types to variables in Go.

      In Go, we can define a variable with the keyword var followed by the name of the variable and the data type desired.

      In the following example we will declare a variable called pi of type float64.

      The keyword var is the first thing declared:

      var pi float64

      Followed by the name of our variable, pi:

      var pi float64

      And finally the data type float64:

      var pi float64

      We can optionally specify an initial value as well, such as 3.14:

      var pi float64 = 3.14

      Go is a statically typed language. Statically typed means that each statement in the program is checked at compile time. It also means that the data type is bound to the variable, whereas in dynamically linked languages, the data type is bound to the value.

      For example, in Go, the type is declared when declaring a variable:

      var pi float64 = 3.14
      var week int = 7

      Each of these variables could be a different data type if you declared them differently.

      This is different from a language like PHP, where the data type is associated to the value:

      $s = "sammy";         // $s is automatically a string
      $s = 123;             // $s is automatically an integer

      In the preceding code block, the first $s is a string because it is assigned the value "sammy", and the second is an integer because it has the value 123.

      Next, let’s look at more complex data types like arrays.


      An array is an ordered sequence of elements. The capacity of an array is defined at creation time. Once an array has allocated its size, the size can no longer be changed. Because the size of an array is static, it means that it only allocates memory once. This makes arrays somewhat rigid to work with, but increases performance of your program. Because of this, arrays are typically used when optimizing programs. Slices, covered next, are more flexible, and constitute what you would think of as arrays in other languages.

      Arrays are defined by declaring the size of the array, then the data type with the values defined between curly brackets { }.

      An array of strings looks like this:

      [3]string{"blue coral", "staghorn coral", "pillar coral"}

      We can store an array in a variable and print it out:

      coral := [3]string{"blue coral", "staghorn coral", "pillar coral"}


      [blue coral staghorn coral pillar coral]

      As mentioned before, slices are similar to arrays, but are much more flexible. Let’s take a look at this mutable data type.


      A slice is an ordered sequence of elements that can change in length. Slices can increase their size dynamically. When you add new items to a slice, if the slice does not have enough memory to store the new items, it will request more memory from the system as needed. Because a slice can be expanded to add more elements when needed, they are more commonly used than arrays.

      Slices are defined by declaring the data type preceded by an opening and closing square bracket [] and having values between curly brackets { }.

      A slice of integers looks like this:

      []int{-3, -2, -1, 0, 1, 2, 3}

      A slice of floats looks like this:

      []float64{3.14, 9.23, 111.11, 312.12, 1.05}

      A slice of strings looks like this:

      []string{"shark", "cuttlefish", "squid", "mantis shrimp"}

      Let’s define our slice of strings as seaCreatures:

      seaCreatures := []string{"shark", "cuttlefish", "squid", "mantis shrimp"}

      We can print them out by calling the variable:


      The output will look exactly like the list that we created:


      [shark cuttlefish squid mantis shrimp]

      We can use the append keyword to add an item to our slice. The following command will add the string value of seahorse to the slice:

      seaCreatures = append(seaCreatures, "seahorse")

      You can verify it was added by printing it out:



      [shark cuttlefish squid mantis shrimp seahorse]

      As you can see, if you need to manage an unknown size of elements, a slice will be much more versatile than an array.


      The map is Go’s built-in hash or dictionary type. Maps use keys and values as a pair to store data. This is useful in programming to quickly look up values by an index, or in this case, a key. For instance, you may want to keep a map of users, indexed by their user ID. The key would be the user ID, and the user object would be the value. A map is constructed by using the keyword map followed by the key data type in square brackets [ ], followed by the value data type and the key value pairs in curly braces.


      Typically used to hold data that are related, such as the information contained in an ID, a map looks like this:

      map[string]string{"name": "Sammy", "animal": "shark", "color": "blue", "location": "ocean"}

      You will notice that in addition to the curly braces, there are also colons throughout the map. The words to the left of the colons are the keys. Keys can be any comparable type in Go. Comparable types are primitive types like strings, ints, etc. A primitive type is defined by the language, and not built from combining any other types. While they can be user-defined types, it’s considered best practice to keep them simple to avoid programming errors. The keys in the dictionary above are: name, animal, color, and location.

      The words to the right of the colons are the values. Values can be comprised of any data type. The values in the dictionary above are: Sammy, shark, blue, and ocean.

      Let’s store the map inside a variable and print it out:

      sammy := map[string]string{"name": "Sammy", "animal": "shark", "color": "blue", "location": "ocean"}


      map[animal:shark color:blue location:ocean name:Sammy]

      If we want to isolate Sammy’s color, we can do so by calling sammy["color"]. Let’s print that out:




      As maps offer key-value pairs for storing data, they can be important elements in your Go program.


      At this point, you should have a better understanding of some of the major data types that are available for you to use in Go. Each of these data types will become important as you develop programming projects in the Go language.

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      Machine Learning Projects: Python — A DigitalOcean eBook

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      Introduction to the eBook

      As machine learning is increasingly leveraged to find patterns, conduct analysis, and make decisions — sometimes without final input from humans who may be impacted by these findings — it is crucial to invest in bringing more stakeholders into the fold. This book of Python projects in machine learning tries to do just that: to equip the developers of today and tomorrow with tools they can use to better understand, evaluate, and shape machine learning to help ensure that it is serving us all.

      This book will set you up with a Python programming environment if you don’t have one already, then provide you with a conceptual understanding of machine learning in the chapter “An Introduction to Machine Learning.” What follows next are three Python machine learning projects. They will help you create a machine learning classifier, build a neural network to recognize handwritten digits, and give you a background in deep reinforcement learning through building a bot for Atari.

      These chapters originally appeared as articles on DigitalOcean Community, written by members of the international software developer community. If you are interested in contributing to this knowledge base, consider proposing a tutorial to the Write for DOnations program. DigitalOcean offers payment to authors and provides a matching donation to tech-focused nonprofits.

      Other Books in this Series

      If you are learning Python or are looking for reference material, you can download our free Python eBook, How To Code in Python 3

      For other programming languages and DevOps engineering articles, check out our knowledge base of over 2,100 tutorials.

      Download the eBook

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      Ready To Start an Online Business? 5 Traits of Successful Entrepreneurs

      Today marks the beginning of Small Business Month, a national celebration of entrepreneurs and small business owners across America. While these businesses may be small in size, their potential is anything but: giants like Facebook, Apple, and Google initially started as one- or two-person shops. Even DreamHost was started in a dorm room!

      While many people aspire to run their own businesses, not everyone is cut out to be an entrepreneur — especially in the digital age. It takes a specific type of personality to handle the nuts and bolts that make up an online business. To help you decide if you’ve got what it takes to start your own web-based biz, we’ve compiled this list of vital entrepreneur characteristics.

      Can you handle the hustle?

      1. They’re Highly Motivated

      Being an entrepreneur means being your own boss. Not having a supervisor may sound like a huge perk, but when nobody is around to tell you what to do, it’s easy to sink into stagnation. And that’s not going to work — especially on the web. Successful business owners are people who are good at self-motivating. They know that no boss will tell them to hurry up and finish that project — they’ve just got to make it happen all by themselves.

      Kevin Plank, the CEO of Under Armour, says that while it’s easy to make excuses for why you’re not building a business, a real entrepreneur will simply go for it anyway: “There’s an entrepreneur right now, scared to death, making excuses, saying, ‘It’s not the right time just yet.’ There’s no such thing as a good time.”

      His tough-love approach is typical of the entrepreneurial mindset. “I started an apparel-manufacturing business in the tech-boom years,” he says. “I mean, come on. Get out of your garage and go take a chance and start your business.”

      Plank initially began Under Armour out of his grandmother’s basement. Today, his company employs 11,000 people and earns $4 billion in yearly revenue — a small business no more! — but it would never have gotten off the ground if he hadn’t taken his role as his own boss seriously and amped up his self-motivation.

      2. They Embrace Technology

      Good entrepreneurs know that the tools of the trade are always changing, so they never get too comfortable. They know they can best serve their customers by keeping up to date with the latest solutions technology offers.

      Today successful entrepreneurs know that every business, no matter the size, needs to have an online presence. Potential customers spend more than 10 hours a day looking at screens, so a website is the best way to get eyes on your service or product. And having a website doesn’t mean having just any website; ideally, you’ll have one that loads quickly, looks equally great on desktop and mobile, and stays online with little downtime.

      DreamHost knows what small business owners need — after all, more than 90 percent of our customers are in business for themselves. For entrepreneurs who’d rather be focusing on customers than worrying about websites, our DreamPress service removes the guesswork, keeping customers’ WordPress sites automatically configured so they can focus on growing their business.

      3. They’re Focused on the Customer

      You can’t run a successful website or business if nobody is interested in buying your product or service. That’s why good entrepreneurs know that customer retention should be the crux of their operation.

      Jeff Bezos, the CEO of Amazon, initially set up his company in his garage. He says there’s never been a moment, from those one-man days until now, when he took his customers for granted. “We see our customers as invited guests to a party, and we are the hosts. It’s our job every day to make every important aspect of the customer experience a little bit better,” he said.

      Perhaps that’s why Amazon has such a massive customer base today. Rather than treating buyers like a necessary evil that keeps him in business, Bezos saw them as invitees that must continuously be courted and made to feel appreciated.

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      Subscribe to the DreamHost Digest for inside scoops, expert advice, and exclusive deals.

      4. They Fail and Try Again

      Top entrepreneurs know that getting it wrong sometimes is simply part of the game. They’re not held back by their setbacks, but see the entrepreneurial process as a learning experience.

      Drew Houston, the CEO and co-founder of Dropbox, has declared, “Don’t worry about failure; you only have to be right once.” In fact, sometimes your previous failures pave the way for your future successes. Before striking gold with Dropbox, Houston worked on a number of other startups, most of which you haven’t heard of because they never went anywhere. But those early attempts taught Houston how to run a successful company later on.

      5. They Differentiate Their Products

      The best entrepreneurs take a timeless or popular idea and find a way to make it fresh. For example, did you know there are over 117 companies that make mobile phones? But when consumers need a new phone, it’s rare they will look at every mobile device each of these 117 companies makes.

      Instead, most consumers will pick from the top three companies that have differentiated their products most effectively: Samsung, Apple, and Huawei. The success of these three mobile device companies is evidenced by each holding the top three highest portions of the industry’s market share, respectively.

      Differentiation is something Sara Blakely, the founder of the popular shapewear company Spanx, knows a lot about.

      While Spanx performs the same function as a corset or a girdle — items of clothing people have worn for centuries — Blakely put a new, sexy spin on the product. With Spanx, Blakely made shapewear comfortable, easy to put on, and impossible to detect under even the slimmest of clothing. To top it off, she differentiated her product by branding it with a fun and memorable name.

      Blakely’s ability to take an old-fashioned item of clothing and successfully differentiate it from all other shapewear helped propel her from a failing salesperson to a billionaire in just a manner of years. Blakely encourages would-be entrepreneurs to ask themselves the following questions as they start their businesses: “Why are you different? What’s important about you? Why does the customer need you?”

      You Can Do It!

      Just as with any other job, becoming self-employed requires its own set of entrepreneurial skills. Owning your own business calls for grit, determination, flexibility, and the willingness to make a business plan and brew the coffee. Starting a company is never easy, but if you see a bit of yourself in this list, you might just be ready to take the plunge.

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