We are now crossing into a new plateau when it comes to programming. The last few posts were to lay the foundation of what out-of-the-box data types Python has and how you can work with them. We barely scratched what you can do with each Python data type. The previous posts just gave you an […]
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Python comprehensions are a little complex with how they function and work. Before we get into for loops, it would be an excellent segway to show comprehensions and how they work. Python comprehensions are a quick way to create a list or a dictionary. You need to feed an iterator into the comprehension. You can
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In Python sets (type set) is the final Python Data Types are the final python data type we will be exploring. Python sets are simply a collection of unordered unique elements. Let’s take our tuple from the last blog post and pass it into a set, When we return my_set, we get an unordered collection
Python booleans (type bool) are the easiest Python Data Types. There are only two things you need to remember: True and False. Booleans are depictions of 0, or empty (False), and 1 (True), which can be mapped to any Python data type. You can check what the boolean return will be by using the bool()
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Python tuples (type tuple) are the next Python Data Types we will explore. Python tuples are similar to lists except that they are immutable, which means they can not be changed. Tuples are wrapped in ( ) parentheses. This might look familiar from the dictionary post when we used the dictionary method .items(). The output of
The next data type we will explore from Python Data Types is Python Dictionaries (type dict). Python dictionaries are an unordered collection of data in a Key-Value pair wrapped in curly brackets { }. You can not slice or index from a dictionary as it is an unordered data collection. If you want to retrieve
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Wow, we made it to part 3 for lists from our original post on Python lists. In this blog post, we will look at Python list methods. List methods extend lists’ functionality, which can be found here in Python List Methods. Unlike string methods that do not change the original string, list methods will change
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Continuing from the previous post Python Lists, we will look at some more things you can do with them. Lists, unlike strings, are mutable. This means that you can change a list in place without reassigning the list to a new variable. To change a list in place you need to know the index you
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Python Lists are an extremely versatile data type, the next of the Python data types we will explore. Lists (type list) may not seem like from looking at them, but they are an extremely powerful data type. They can hold other Python data types, strings, floats, integers, lists, dictionaries, sets, and tuples. Lists are an ordered
The next topic to discuss is Python Variables and Integers from our Python data types. Python Variables We can store objects in Python, and these objects are called variables. Variables are a way for us to store information to be re-used again in our scripts. Variables in Python are written incamel_case and have to have
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