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      Converting Data Types in Python

      Python is a dynamically typed language, so programmers might not always consider the type of each variable they create. However, the type of a variable is often important, and it might be necessary to convert it to another data type. This guide explains how typecasting works and illustrates how to convert data types in Python. It covers several common examples, such as how to convert an integer to a string.

      Convert Data Types in Python: An Introduction

      Python, like most programming languages, supports a wide range of data types. Python is considered a strongly typed language, so each variable always has a type. The type of a variable governs the data it can represent and constrains how it can be used. Some common Python data types include integer, float, string, list, dictionary, and set. In Python, an object’s type defines its methods and the set of operations it supports. For instance, it is possible to calculate the exponent of an integer, but not of a string. For more information about Python data types, see the
      documentation for standard types
      advanced types

      In addition to being strongly typed, Python is also dynamically typed. This means the type of a variable is determined only at run time. The Python interpreter does not perform any type checking in advance. In addition, the type of a Python variable can change over the course of a program. Statically typed languages such as C++ do not permit this.

      It is possible to change the data type of a variable in Python through datatype conversion. Datatype conversion allows variables to be used more effectively within the program. For example, an integer can be converted into a string, allowing it to be appended to another string. There are two different methods used to convert data types in Python.

      Implicit type conversion: Python automatically performs implicit type conversion without user intervention. It can elevate a lower-order data type, such as an integer, to a higher-order type like a float. Python can initiate this conversion because any integer can be unambiguously represented as a float. There is no chance of misinterpreting the intent of this operation. Implicit conversion avoids the loss of any data and is highly convenient. However, it does not work in all cases.

      Explicit type conversion: This is also known as typecasting. An explicit conversion must be performed manually using one of Python’s built-in methods. This is necessary when the conversion is not straightforward and the intent of the operation is not clear. Some explicit type conversions can cause data loss.

      The Python type function is used to determine the type of the data. In this example, x is of type int, while y is of type float.

      x = 10
      y = 10.01
      <class 'int'>
      <class 'float'>

      Before You Begin

      Ensure Python is already installed on your machine and you understand how to launch and use the Python programming environment. To run Python on Ubuntu, use the command python3. For more information regarding how to use Python, see the
      Linode guide to Python

      Converting Integers and Floats in Python

      Both floats and integers represent numerical values. A float number has a decimal point, while an integer does not. A float can more precisely represent a number, but integers make more sense when dealing with countable values. An integer can always be represented as a float, but most floats cannot be represented as integers without a loss of precision.

      This process of converting between integers and floats is relatively straightforward, because both types represent numerical data. Additional methods exist to convert integers to other formats, such as hexadecimal strings. The following examples illustrate the main methods used to convert numerical data types in Python.

      Converting Integers to Floats

      The built-in Python function float() converts an integer to a float. It accepts a single integer and returns its float equivalent in the proper format, complete with a decimal point.

      x = 10
      z = float(x)
      print("z is", z, "and is of type", type(z))
      z is 10.0 and is of type <class 'float'>

      Python can automatically elevate an integer to a float using implicit type conversion. Therefore, if the result of float(x) is reassigned to x, x changes type and becomes a float.

      x = 10
      x = float(x)
      print("x is", x, "and is of type", type(x))
      x is 10.0 and is of type <class 'float'>

      When an integer and a float are added or multiplied together, the result is a float.

      x = 10
      y = 5.2
      z = x + y
      print("z is", z, "and is of type", type(z))
      z is 15.2 and is of type <class 'float'>

      This occurs even if the answer can be perfectly represented as an integer. In this example, the result is 52, but it is represented as a float containing the value 52.0.

      z = x * y
      print("z is", z, "and is of type", type(z))
      z is 52.0 and is of type <class 'float'>

      As of Python 3, when two integers are divided, the result is a float. The numerator and denominator are both internally pre-converted to floats before the operation. This means the result is a float even if the modulus is zero.


      Python 2 returns an integer in this case.

      x = 6
      y = 3
      z = x / y
      print("z is", z, "and is of type", type(z))
      z is 2.0 and is of type <class 'float'>


      The closely-related hex() and oct() methods can convert an integer to its hexadecimal or octal string equivalent.

      Converting Floats to Integers

      To convert a float data type to an integer in Python, use the int() function. This function removes the fractional component of the float, also known as the
      , during the conversion.

      x = 50.8
      x = int(x)
      print("x is", x, "and is of type", type(x))
      x is 50 and is of type <class 'int'>

      This conversion leads to some data loss. The truncated portion is not recovered even if the variable is converted back to a float.

      x = float(x)
      print("x is", x, "and is of type", type(x))
      x is 50.0 and is of type <class 'float'>

      To convert a float to the nearest integer, use the round() function instead.

      x = 50.8
      x = round(x)
      print("x is", x, "and is of type", type(x))
      x is 51 and is of type <class 'int'>


      Some information is permanently lost whenever a float is converted to an integer. This can have drastic effects on the accuracy of future calculations. Ensure you understand the implications of this data loss within the context of your program before proceeding. When in doubt, create a new variable to store the converted value.

      Converting Strings in Python

      A Python string consists of an immutable sequence of Unicode characters, and is represented internally as an array. The individual characters in a string can be accessed using string indexing, which is similar to
      how list items are accessed
      . Python string indexing is zero-based, so the index [1] refers to the second character in the string. Python provides a number of built-in methods for use in string processing and manipulation.

      Integers can be converted to strings and vice versa. Strings can also be converted to complex data types including lists, sets, and tuples. For more information on strings, see the
      Python documentation

      Converting Int to String in Python

      Adding an integer and a string is more complicated than adding two numbers. The integer could potentially be treated as a string, but the string could also be converted to an integer. For instance, should the operation 14 + "12" result in the string 1412 or the numerical value 26? To resolve any confusion, a Python string and integer cannot be added together or concatenated. Both entities must have the same type. Either the integer must be changed to a string, or the string must be converted to an integer. In the following example, adding a string to an integer results in an error.

      x = 12
      y = "23"
      z = x + y
      Traceback (most recent call last):
      File "<stdin>", line 1, in <module>
      TypeError: unsupported operand type(s) for +: 'int' and 'str'

      To convert an int to a string in Python, use the built-in function str(). When an integer is passed to the str() function, it is converted to a text representation of the number. The following example uses the str() function to perform type conversion on the integer variable x, allowing it to be concatenated to another string. The end result of the operation is another string.

      x = 12
      y = "23"
      z = str(x) + y
      print("z is", z, "and is of type", type(z))
      z is 1223 and is of type <class 'str'>

      This approach is frequently used to print text consisting of both strings and numbers. The numerical component is converted to a string when it is passed to the print() function.

      print(str(x) + y)

      The str() function can also be used to convert other data types, such as a float, to strings. This function accepts a floating point number and converts it to a string, with the decimal point and fractional component still intact.

      Convert String to Int in Python

      Mathematical operations cannot be performed on string objects. They must be converted to numbers first. Fortunately, Python’s built-in int() function is very flexible and can convert several data types to integers. This function accepts any string that can be converted to an integer, and returns an integer representation. If the string cannot represent an integer, Python throws an error. The following example demonstrates how to convert a string to an int in Python.

      x = "101"
      z = int(x)
      print("z is", z, "and is of type", type(z))
      z is 101 and is of type <class 'int'>

      This function can be used to add a string representation of an integer to an actual integer. This code sample converts the string to an integer, allowing the two numbers to be added together. This contrasts with the earlier example, which used str() to perform a string concatenation.

      x = 12
      y = "23"
      z = x + int(y)
      print("z is", z, "and is of type", type(z))
      z is 35 and is of type <class 'int'>

      When passing a string to int(), it is possible to add an optional argument indicating the base of the number. For instance, int("101", 2) indicates the binary string 101 is equivalent to 5 in decimal notation. It is not the integer 101. If a base is not provided, Python assumes it is a base-10 decimal number.

      x = "101"
      z = int(x,2)
      print("z is", z, "and is of type", type(z))
      z is 5 and is of type <class 'int'>

      Strings can also be converted to floats using the float() function. Python cannot automatically convert a float-like string to an integer. This function must be used if the string has a decimal point, and the string must represent a float.

      x = "10.00"
      z = float(x)
      print("z is", z, "and is of type", type(z))
      z is 10.0 and is of type <class 'float'>


      Do not confuse the int() function with ord(). ord() converts a character to its ASCII integer representation. This function uses the
      character to ASCII conversion table
      to determine the ASCII values.

      Converting Strings to Lists

      In Python, a list is an ordered array of objects. The items are mutable, so they can be changed. Items can be added, removed, or modified. Lists also have a large collection of built-in methods, providing advanced processing features. A list is enclosed in square brackets [ ] with commas separating the items. An example of a list is ['aa', 'bb', 'cc'].

      Lists and strings are conceptually very similar. Both are ordered sequences, and the individual items are accessed the same way. This makes it easy to convert a string to a list. The first letter in the string becomes item [0] in the list. The second letter becomes the second list item, and so on.


      The elements of a list can be strings or numbers, or even compound objects. However, strings can only contain a sequence of Unicode characters.
      Lists can also be converted to strings in Python
      , but the steps are more complicated.

      To convert a Python string to a list, use the list() function and provide the string as input. This results in a list containing the characters in the original string, formatted in list notation.

      x = "test"
      z = list(x)
      print("z is", z, "and is of type", type(z))
      z is ['t', 'e', 's', 't'] and is of type <class 'list'>

      Converting Strings to Tuples

      Strings are also easily converted to tuples. A Python tuple is almost the same as a list, except it is immutable. This means it cannot be changed after it is created. A tuple is always enclosed by parentheses ( ). It is sometimes a more efficient data structure for string processing because it includes more built-in functions.

      To convert a string to a tuple, use the tuple() function. The characters in the string become the ordered elements of the tuple.

      x = "test"
      z = tuple(x)
      print("z is", z, "and is of type", type(z))
      z is ('t', 'e', 's', 't') and is of type <class 'tuple'>


      Although it is relatively uncommon, a string can also be converted to a set. A set is an unordered collection of unique elements. Use the function set() and provide the string as a parameter.

      To learn more about Python tuples, see our guide
      An Introduction to Python Tuples


      Although Python is a dynamically-typed language, type conversion is still very important. Python frequently uses implicit type conversion to elevate an integer to a float, making certain operations easier. However, developers often have to use explicit type conversion, changing a type using Python’s built-in functions.

      This guide explains how to convert data types in Python. It is possible to convert a string to an integer in Python using the int() function, while the str() function converts an integer to a string. Integers can be converted to floats using float(), and floats can be changed to integers, although this can cause data loss. Other functions allow strings to be converted to array formats such as lists, tuples, and sets.

      More Information

      You may wish to consult the following resources for additional information
      on this topic. While these are provided in the hope that they will be
      useful, please note that we cannot vouch for the accuracy or timeliness of
      externally hosted materials.

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      3 Solutions for Converting Your WordPress Site into a Mobile App

      Nowadays, a lot of people interact with the web mostly by using mobile devices. That means it’s more important than ever to provide a quality mobile experience. Otherwise, you risk alienating a large part of your potential user base.

      There are many ways you can improve the overall experience for your mobile users. For example, you can design a responsive website so that it looks (and works) perfectly on smaller devices. You can also go a step further and convert it into a fully-working app.

      In this article, we’ll talk about why converting your website into a WordPress mobile app can be an excellent idea for some site owners. Then we’ll discuss several tools and techniques that will enable you to do so, and discuss how to pick the right one for your needs. Let’s talk apps!

      Why Your WordPress Company Site May Need a Mobile App

      When it comes to user experience, responsive design is king. We’ve previously covered why you should create a mobile-friendly site (and how to do it), but you can also create a mobile app version of your site. Let’s go over some of the reasons you might want to use this approach:

      • Apps provide a more native experience for mobile devices.
      • You can use notifications to stay in touch with your user base.
      • If you use subscriptions, they can be managed via mobile payment systems.

      That said, an app is not a replacement for a mobile-friendly website, and vice-versa. Ideally, you’ll have both, which will enable you to maximize your potential audience. After all, some people don’t want to install any additional apps on their phones, whereas others vastly prefer the experience an app provides over that of a mobile website.

      It’s important to understand, however, that creating a mobile app isn’t particularly easy. Depending on what features you want to include, you may need a background in development, or you’ll have to hire someone to help you get the project off the ground. That process, as you might imagine, can get expensive.

      The good news is that if you’re using WordPress, you get access to multiple tools you can use to create a mobile app version of your website. There is a range of options that vary in price and ease of use, so you can pick the approach that’s best suited to your needs.

      3 Solutions for Converting Your Company WordPress Site into a Mobile App

      While there are many ways to create WordPress mobile apps, the following methods are three of the most common and accessible choices. Let’s look at each, in turn, to help you decide which ones you should consider. We’ll start with the simplest solution.

      1. Use a WordPress Plugin to Generate Your App

      As a WordPress user, you’re probably familiar with using plugins to implement cool features and functionality to your website. However, what you may not know is that you can use plugins to create a fully-working WordPress mobile app.

      There are a few tools that can accomplish this, but let’s focus on one of the most popular: AppPresser.

      AppPresser plugin.

      First, it’s important to note that the AppPresser plugin by itself doesn’t enable you to generate a mobile app. You’ll also need to sign up for a paid AppPresser account, which will be linked to your WordPress website through the plugin.

      Once you have both pieces in place, you can customize your mobile app from within the AppPresser platform and generate installable files for both Android and iOS when you’re done.

      AppPresser app creation and customization process.

      The app creation process is simple – you get to use a builder that feels just like the WordPress Customizer. However, as you might imagine, there are limitations to using a tool like this. Since you’re not building an app from scratch, you get a small set of features to play with. If you’re looking to create an app with very specific functionality, using a plugin probably isn’t the right approach for you.

      Ultimately, using a plugin to generate a mobile app for your WordPress site makes the most sense for projects that don’t require a lot of advanced functionality. For example, AppPresser would be a great choice for blog and news apps. It also handles e-commerce reasonably well, which makes it a useful option for those running a store on a WooCommerce website.

      The AppPresser plugin itself is free, but as we mentioned, you’ll need to sign up for an account on the platform. A basic AppPresser account, which supports one app (for both iOS and Android) will cost you $228 per year.

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      2. Opt for a Solution Designed for Companies and Professional Projects

      Of course, if you’re working on a company site, your needs are different than those who are creating mobile apps for blogs or online stores. Choosing a tool explicitly designed with companies in mind can help you create an app with features that are well-suited to your needs.

      Consider Appful, for example.

      Appful content app.

      This solution can convert your website and social media posts into a powerful content app for connecting with customers and employees. Features such as white labeling, full-service maintenance, and scalability make it highly suitable for growing companies. In fact, it powers apps for several well-known organizations, including Greenpeace, PETA, and even the United Nations.

      Appful works similarly to AppPresser, in that you’ll connect to the platform using a dedicated WordPress plugin. Then, you get access to a set of tools you can use to design a mobile app version of your site and customize its functionality. Only in this case, you’ll receive an assortment of useful templates that enable you to create a Minimum Viable Product (MVP) faster.

      Preview of the mobile app version of a website.

      On top of that, Appful also includes several other handy features, including support for offline reading, integration with Google Analytics and Apple watches, and more. Plus, the developers can also help you design a more customized app if you need specialized features, which makes this a solid middle ground between using a plugin and working with an agency (which we’ll talk about next).

      Overall, this approach offers a more user-friendly experience than most other tools. Creating a WordPress mobile app using Appful is a mostly painless process, and the service will even take care of publishing your app to the Android and iOS stores for you. Plus, you don’t need to pay to use the service until that point, which means there’s no pressure. Prices vary depending on the scope of your app and are available by request.

      3. Work With an Agency to Develop Your WordPress App

      Naturally, a third option is to hire someone to get the job done for you. When it comes to WordPress mobile apps, you’ll find no shortage of freelancers and agencies willing to take on the project — no matter the scope. This can save you a lot of time.

      Of course, hiring professional and talented developers is seldom cheap. Developing even a simple app can easily cost you thousands of dollars. The upside is that you’re not limited by what an app builder can do. If you work with an agency that knows what it’s doing, it should be able to advise you on what’s possible and what isn’t, and help you bring your vision to life.

      Considering the costs associated with this approach, we can only recommend it if you have a very large budget, and you need an app version of your WordPress website that includes functionality you can’t add using DIY tools. For simpler projects, hiring an entire agency or even a couple of freelancers might not be particularly cost-effective. If you do decide to hire out, there are plenty of places to find WordPress developers and agencies.

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      Mobility Matters

      A lot of your website’s visitors will be using mobile devices. To provide them with the best possible experience, you can create a streamlined, app-based version of your WordPress website. Depending on what tool you use, you should be able to include all the same functionality your website offers, while creating an experience that feels much more native to mobile browsers.

      Do you have any questions about how to get your WordPress mobile application off the ground? Join the DreamHost Community and let us know!

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