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• What you'll learn Associative Arrays Hash Tables and Hash Functions Python's implementation of hash tables Dictionaries and Sets Defining hash functions for our custom classes and why that is useful Creating customized dictionaries using the UserDict class defaultdict OrderedDict and Python3.6+ equivalences Counter (multi-sets) ChainMap Serialization and Deserialization JSON serialization/deserialization Intro to JSONSchema, Marshmallow, PyYaml and Serpy 3rd party libraries Course content +Introduction +Associative Arrays - Theory!
• +Dictionaries +Coding Exercises +Sets +Project 1 +Serialization and Deserialization +Coding Exercises +Specialized Dictionaries +Coding Exercises Requirements This is an advanced course, so a solid Python foundation is necessary Jupyter Notebooks functional programming (zip, map, sorted, any, all, etc) lambdas, closures and decorators built-in decorators such as @lru_cache, @singledispatch and @wraps iterables, iterators, generators and context managers variable scopes and namespaces (globals, locals, etc) ability to install 3rd party libraries (e.g. pip install) Description This course is an in-depth look at Python dictionaries.
• Dictionaries are ubiquitous in Python.
• Classes are essentially dictionaries, modules are dictionaries, namespaces are dictionaries, sets are dictionaries and many more.
• In this course we'll take an in-depth look at: associative arrays and how they can be implemented using hash maps hash functions and how we can leverage them for our own custom classes Python dictionaries and sets and the various operations we can perform with them specialized dictionary structures such as OrderedDict and how it relates to the built-in Python3.6+ dict Python's implementation of multi-sets, the Counter class the ChainMap class how to create custom dictionaries by inheriting from the UserDict class how to serialize and deserialize dictionaries to JSON the use of schemas in custom JSON deserialization a brief introduction to some useful libraries such as JSONSchema, Marshmallow, PyYaml and Serpy ***** Prerequisites ***** Please note that this is a relatively advanced Python course, and a strong knowledge of some topics in Python is required.