"I liked the course because it was well structured and developed my understanding of Python, specifically Object Orientation and libraries with C++. The trainer was detailed in his explanations and engaging."
MM, Risk Manager, Python Advanced, January 2021
Watch live client feedback from Python Training course:
A taster video from Python for Data Analytics Training course.
Quants, Data Scientists, Analysts, Testers and Programmers who are looking to advance their existing Python skills.
"I liked the course because it was well structured and developed my understanding of Python, specifically Object Orientation and libraries with C++. The trainer was detailed in his explanations and engaging."
MM, Risk Manager, Python Advanced, January 2021
Watch live client feedback from Python Training course:
“JBI did a great job of customizing their syllabus to suit our business needs and also bringing our team up to speed on the current best practices. Our teams varied widely in terms of experience and the Instructor handled this particularly well - very impressive”
Brian F, Team Lead, RBS, Data Analysis Course, 20 April 2022
Problem 11 : You have a very complex Excel spreadsheet and you want to reproduce EXACTLY the same spreadsheet in Power BI
Solution: Power BI is not Excel, it works differently and it has different strengths. In order to tackle this issue the best way is going back to the source and try to...
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Our Advanced Python training course has had great feedback 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.
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