Data science

Unraveling the Key Techniques and Best Practices of Regression Testing for Ensuring Long-Term Quality Assurance

July 14, 2023 | erika

To maintain long-term quality assurance in software development, regression testing is essential. It is an essential procedure for ensuring that changes or upgrades to an application have not resulted in any unforeseen consequences or flaws. The fundamental methods and recommended procedures for regression testing are discussed in this article. Software ...
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Setting up Python

July 11, 2023 | Giles

Python is a versatile programming language used for a range of applications, including web development, data analysis, artificial intelligence, and scientific computing. To work effectively with Python, you will need to install the base Python interpreter and an Integrated Development Environment (IDE). As we’re interested in using Python for ... [...Read more...]

How Integration and Differentiation Are Used Effectively in Data Sciences

July 10, 2023 | Dr. Stylianos (Stelios) Kampakis

Introduction In the era of big data, organizations across various industries are harnessing the power of data science to gain valuable insights. Integration and differentiation, which are foundational concepts in calculus, serve as powerful tools for analyzing and interpreting complex datasets. By applying integration and differentiation techniques, data scientists can ...
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How Integration and Differentiation Are Used Effectively in Data Sciences

July 10, 2023 | erika

Introduction In the era of big data, organizations across various industries are harnessing the power of data science to gain valuable insights. Integration and differentiation, which are foundational concepts in calculus, serve as powerful tools for analyzing and interpreting complex datasets. By applying integration and differentiation techniques, data scientists can ...
[...Read more...]

Graph Data Modeling with Python

June 30, 2023 | Gary Hutson

I am so excited to announce that I have a new book (in collaboration with Packt) that has just been launched, written with my co-author, the wonderful Matt Jackson. This books takes you from a nascent understanding of graph data science methods to a more confident user, all in under 250 ...
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