If you’re considering moving to a role in statistical programming, now is the time to invest in your skills, expand your knowledge beyond SAS and embrace the power of R, Python, AI and ML.

Python is an interpreted, high-level, general-purpose programming language. Created by Guido van Rossum and first released in 1991, Python's design philosophy emphasizes code readability with its ...

Data Types: Python supports various data types, including integers, strings, and floats. Understanding these types and how to convert between them is essential for effective programming.

Network security is a pillar of cybersecurity. Its core task is to shield network and data integrity and usability. Understanding the basics of network security is a good thing, as it will help you ...

Simplifying Data Science with Python demystifies data science, providing a straightforward guide to core Python programming principles, machine learning techniques, and ethical AI practices.

The best Python programming books range from hands-on projects and interactive exercises to in-depth explanations of the core concepts. Be it for task automation, developing web applications, or ...

With so many programming languages to choose from, each with its own unique syntax, features and uses, choosing your first programming language to learn can be daunting. Python is an excellent ...

The book covers topics such as variables, functions, loops, and object-oriented programming. Python in a Nutshell This book teaches how to get the most out of Python. It covers topics like the ...

"Python Crash Course: A Hands-On, Project-Based Introduction to Programming" by Eric Matthes is a dynamic guide to Python programming. This book immerses readers in writing programs, troubleshooting, ...

Find out what makes Python a versatile powerhouse for modern software development—from data science to machine learning, systems automation, web and API development, and more.