Python makes it extremely easy to create strings. All you need to do is choose the word that is going to represent your string, and then store the data using the equals sign. So: ...

Strings, numbers (integers and floats alike), tuples, and built-in singleton objects (True, False, and None) are all common types to use as keys. A given key is unique to a given dictionary.

Python supports converting from dates to strings and back. For example, after we get results from the Google Analytics API, we might want to parse the dates into datetime objects.

The main reason to use Python is that you get a lot more options than what's included in most spreadsheets. Spreadsheets are ...

Everything in Python is an object, or so the saying goes. If you want to create your own custom objects, with their own properties and methods, you use Python’s class object to make that happen.

Use string manipulation, such as the join () method. Employ multiple assignments, for example a,b = 1,2. Use the @functools.lru_cache decorator. If you create timeit tests you'll see a huge ...

Also read: How to use strings in Python The great thing about classes in Python, is that they can create multiple “instances” of a single thing.