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.
Quants, Data Scientists, Analysts, Testers and Programmers who are looking to advance their existing Python skills.
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19/08/2019: Python is a programming language created by Guido van Rossum as a hobby project back in the late 1980s. Python has come a long way since it’s origins as a small hobby project and is now the fastest-growing programming language in the world. There are several reasons why Python is growing so rapidly. The language is considered very concise and flexible, which makes it one of the easier programming languages to learn. Python has also been widely adopted in Artificial Intelligence (AI) and Machine Learning (ML), two areas of computing have boomed in recent years. Why Python? Python uses...
20/12/2018: Python or R in tomorrow’s world? Python and R are popular programming languages extensively used by data scientists today. But what about tomorrow – which one is going to be more useful for you in the future? The aim of this article is to help you answer that question. We’ll discuss the two languages, look at some of the differences between them, and analyse the trends in usage and popularity. The case for Python According to the 2018 IEEE Spectrum rankings, Python is the top programming language in 2018. It’s based on C, and is closely followed in the rankings by C++ (2nd), Java (3rd)...
10/12/2018: Natural Language Processing is right at the cutting-edge of Artificial Intelligence, and the handling of data is critical to its success. Computers, as you know, thrive on standardised instructions and structured data – and natural language, with all its nuances and subtleties, is anything but that. It has been developed by humans over thousands of years and involves a complex range of words, sayings and idioms. Data science plays a key role in transforming that unstructured data so that computers can process it. So yes, NLP and data science are absolutely related. Let’s explore NLP in...
19/10/2017: Nowadays, there is a significant business advantage in being able analyse, process and visualize "big data". While there is no agreed definition of "big data" it is generally accepted that big data refers to terabytes or larger data sets. The tools, techniques and systems for working with "big data" is known as data science. Big problem is the lack of professionals who can work effectively with data on this scale. Fortunately, the Python programming language is packed with libraries designed specifically for data science applications. To this end, JBI was enagaged to provide Python training...
13/10/2017: This organisation needed their Supply Chain department to get fully involved with Microsoft’s Power BI reporting product as soon as possible. They had to bring quality reporting solutions to a fast and dynamic growing company. Power BI is a rapid reporting development tool for Business Intelligence and the department needed to get up-to-speed as quickly as possible. This is where JB International came in. After liaising with a JBI account manager, our client was given an agenda that covered all the topics they were interested in. They were switching from previous reporting products like...
12/10/2017: The Graduate Programme provided a gateway into technology within investment banking. Graduates (Computer Science, Engineering, Maths, Physics or Economics) are selected from Tier 1 Universities and accepted into the program and receive training. They are then placed in Production and Application support roles within the Bank. The training program included Production and Application training modules covering Unix , Oracle SQL, Perl, Python, C++, C#, Java and ITIL. The initial success and feedback of the trial program has led to a request to increase the number of core modules, doubling...
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