Python 101 – Working with Strings (Video)
Learn how to use Strings in Python in this screencast. This video is based on a chapter from my book, Python 101 2nd Edition. You can read the written version here: Python 101: Working with Strings
Learn how to use Strings in Python in this screencast. This video is based on a chapter from my book, Python 101 2nd Edition. You can read the written version here: Python 101: Working with Strings
There are many times when you are writing code that you will need to find a way to iterate over something. Perhaps you’ll need to iterate over the letters in a string or the objects in a list. The process of iterating over something is done via a loop. A loop is a programming construct …
Type checking or hinting is a newer feature of Python that was added in Python 3.5. Type hinting is also known as type annotation. Type hinting is adding special syntax to functions and variable declarations that tell the developer what type the argument or variable is. Python does not enforce the type hints. You can …
You will be using strings very often when you program. A string is a series of letters surrounded by single, double or triple quotes. Python 3 defines string as a “Text Sequence Type”. You can cast other types to a string using the built-in str() function. In this article you will learn how to: Create …
Dictionaries are another fundamental data type in Python. A dictionary is a key, value pair. Some programming languages refer to them as hash tables. They are described as a mapping object that maps hashable values to arbitrary objects. A dictionary’s keys must be immutable, that is, unable to change. Starting in Python 3.7, dictionaries are …
Tuples are another sequence type in Python. Tuples consist of a number of values that are separated by commas. A tuple is immutable whereas a list is not. Immutable means that the tuple has a fixed value and cannot change. You cannot add, delete or modify items in a tuple. Immutable objects are useful when …