Our Advanced Python training course has had great feeback from Developers, Testers, Data Scientists, Financial modellers and analysts who already use Python on a day-to-day basis, but need to know how to get even more out of the language.
This advanced Python training course will teach you additional techniques and features relevant to Python to help you realise its full potential as an elegant language for rapid development of test scripts and applications. Python is a dynamic object-oriented programming language. It offers strong support for integration with other development languages and tools, and comes with extensive standard libraries.
Python also serves as a great introduction to Functional Programming, allowing us to explore topics such as closures, comprehensions, generators and decorators. And of course one of the great strengths of Python is the extensive set of libraries. We take a tour of some of the more interesting libraries and even show how to interface to your own libraries written in C and C++, downloaded from a local repository using PIP.
Quants, Data Scientists, Analysts, Testers and Programmers who are looking to advance their existing Python skills.
Various advanced examples
old/new style classes
method lookup and __mro__
inheritance, polymorphism, multiple inheritance
Anaconda, Pip, Writing your own local repository
Decorators, Iterators and Generators
filters and maps
A brief overview of working with Numpy, Pandas, OpenPyXl, MatplotLib, Using Excel Charts (see Python for Data Scientists for an in depth course in these topics)
Ftp, Stream Sockets, Datagrams, WebBrowser module
Interfacing with C and C++
Writing a Python Server (Flask) and interfacing with a browser using JSON, AJAX and JQuery
Threading and Multiprocessing libraries. GIL
Oracle or MySQL, SQLAlchemy
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