Advanced Python Mastery training course

Python Review

An accelerated review of the Python language focused on features that you should already know. Covers the basic language statements, program structure, common datatypes, functions, exceptions, modules, and classes.s

Idiomatic Data Handling

An in-depth look at data handling and data structures. A major focus of this section is on Python's built-in container types (tuples, lists, sets, dicts, etc.) with an eye towards studying their performance properties and resource use. Also covers important programming data-processing idioms such as the use of list comprehensions and generator expressions.

Classes and Objects

A review of the class statement and how to define new objects in Python. A major focus is on how to properly encapsulate data, and when to use features such as static methods, class methods, and properties. Concludes with a review of some common object-oriented programming techniques and advanced topics including mixin classes and weak references.

Inside Python Objects

A look at how the Python object system is put together under the covers. Major topics include instance and class representation, attribute binding, inheritance, attribute access methods, and the descriptor protocol.

Testing, Logging, and Debugging

Learn how to test and debug your code. Covers the doctest, unittest, and logging modules. Information on assertions, optimized run mode, the debugger, and profiler is also presented.

Working with Code

A detailed look at more advanced aspects of Python functions. Topics include variable argument functions, anonymous functions (lambda), scoping rules, nested functions, function introspection, closures, delayed-evaluation, and partial function application.s

Metaprogramming

Finally understand the secret techniques used by the Python framework builders. This section covers features that allow you to manipulate code. Topics include decorators, class decorators, context managers, and metaclasses.

Iterators, Generators, and Coroutines

Covers the iteration protocol, generator functions, and coroutines. A major focus of this section is on applying generators and coroutines to problems in data processing. You will learn how to apply these features to large data files and data streams.

Modules and Packages

This section covers details related to using modules and packages to organize larger programs. A major focus is understanding the underlying behavior of the import statement and some of the more tricky issues related to organizing packages.