how to sort a dictionary with the re library and how OrderedDict and lambda functions can come in handy when you’re doing this, and.how to perform operations on your dictionary to get or remove values from your dictionary and how you can use dictionary comprehension to subset values from your dictionary,.how to filter the dictionary with the help of a for-loop and special iterators to loop over the keys and values of your dictionary,.how to load data in your dictionary with the help of the urllib and random libraries,.how to create a dictionary by making use of curly brackets and colons,.In today’s tutorial, you’ll learn more about the following topics:
Unlike Python lists, for instance, Python does keep track of where to find a specific piece of information. A Python dictionary works in a similar way: stored dictionary items can be retrieved very fast by their key. The dictionary entry will tell you that “python” is a large non-venomous snake that constricts its prey, or a high-level programming language (!).Ī paper dictionary has only been a well-respected aid because its words are ordered alphabetically and with a bit of practice, you can find any word in there within a minute. If you look up the word “python” in a paper dictionary, let’s say the Oxford Dictionary of English, you will usually start by trying to browse to the part of the dictionary that contains the words starting with “p”, then “y”, “t” and so on until you hit the full word. Its name already gives away how data is stored: a piece of data or values that can be accessed by a key(word) you have at hand.
A special data structure which Python provides natively is the dictionary. Python Dictionaries and the Data Science ToolboxĪs a data scientist working in Python, you’ll need to temporarily store data all the time in an appropriate Python data structure to process it.
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