Python for Data Privacy VIDEO
Data privacy and the protection of people’s identities is important. The video below provides some basic ways to ensure the privacy of individuals when working with data.
Python-bloggers
Data science news and tutorials - contributed by Python bloggers
What Machinists Get Wrong About Milling Tools and Lathe Tooling
Even the most experienced machinists can fall into the trap of bad habits or assumptions—especially when working with familiar tools. Milling machines and lathes are the backbone of most machine shops, but the tools used in each can’t always be swapped interchangeably. Misunderstanding the difference between milling and ...
Data Science Quiz For Humanities
Test your skills with this interactive data science quiz covering statistics, Python, R, and data analysis. Progress
Answered 0 of 15
1Which of the following best describes a z-score?
A measure of central tendency
The number of standard deviations a value is from the mean
The square of the correlation coefficient
A ... [...Read more...]
Privacy of Continous Data with Python
There are several ways that an individual’s privacy can be protected when dealing with continuous data. In this post, we will look at how protecting privacy can be accomplished using Python. Libraries We will begin by loading the necessary libraries. Below is the code. The library setup is simple. ...
Announcing AI in Production 2026: A New Conference for AI and ML Practitioners
Registration is now open for our first AI in Production conference, taking place on 4 and 5 June 2026 in Newcastle Upon Tyne.
AI in Production is for people who want to see how AI works in day to day environments. The event brings together data s...
Elevate Your Skills and Boost Your Career – Free Jumping Rivers Webinar on 20th November!
Are you ready to stay ahead in the fast-evolving world of data? Join Jumping Rivers for our free
monthly webinar series designed for data professionals at all levels. In just 55 minutes, you’ll
gain practical insights, sharpen your skills, and ta...
Get Involved in the Data Science Community at our Free Meetups
As a data science consultancy, Jumping Rivers are already known for offering help and training to clients in all things data. But did you know that we also organise free, in-person data science meetups?
In this post we will talk through the typic...
Evaluating a New Job Market Data Feed
I’ve recently been given early access to a service that provides data on job listings published by a wide range of companies. The dataset offers a near real-time view of hiring activity, broken down at the company level. This is a potentially valuable signal for tracking labour market trends, ...
Polars and Pandas – Working with the Data-Frame
Biodiversity.
We’d like more of it.
More of each thing, and more different types of thing.
And more of the things that help make more of the different types of thing.
But can you have too many things?
In Data Science we are often working wi...
How to Prevent Account Takeover: Best Practices for Securing Your Digital Identity
Account takeover has become one of the most pervasive and damaging types of online fraud. As businesses continue to digitalize and users rely on online services for everything from banking to social media, cybercriminals are constantly searching for ways to exploit weak points in user authentication. Understanding how account takeover ... [...Read more...]
Copyright © 2025 | MH Corporate basic by MH Themes