Python Programming Techniques for Secure Data Processing

The Python open-source programming language impresses with its clear syntax, simple structures, and easy readability. Thanks to the extensive standard libraries, Python can be used to realise powerful ideas with just a few lines of code – _in fact in almost all application areas. Python is a general-purpose programming language that is becoming more and more popular for analysing datasets and conducting data science processes. Despite its versatility, the language always remains simple and is therefore easy to learn, even for novice programmers. It is not without reason that Python is the best language for data processing and is extremely popular in Deep Learning, Machine Learning, system automation and Micro-services, building video games, powering applications like Instagram, Facebook, YouTube, Internet of Things, and in literally everything you can think of. With the growing popularity of Python, the Python Security has become essential aspects for secure applications and data processing in Python. Secure programming techniques in Python is one of the best ways of coding practice, which assists developers to prevent applications from cybersecurity vulnerabilities and exploits. This course intends to highlight certain OWASP (Open Web Application Security) security concerns in python modules and functionalities in order to ascertain security elements when developing Python codes and for secure data processing. This training will teach on various purpose of Python in the data processing as well as emphasise on the security aspects of coding and data processing in Python. In summary, Python Programming Techniques for Secure Data Processing will give participants an understanding of Python for secure coding and data processing from the ground up.

Location:
The Meydan Hotel" located at Meydan Racecourse Al Meydan Road, Nad Al Sheba, Dubai, United Arab Emirates. Tel. 00971-4-381- 3333.