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A batch of the best highlights from what Kevin's read, .
A knowledge graph is made up of three main components:
nodes, edges, and labels.
Any *object*, *place*, or *person* can be a **node**.
An **edge** defines the *relationship* between the nodes.
For example,
a node could be a client, like IBM, and an agency like, Ogilvy.
An edge would be categorize the relationship as a customer relationship between IBM and Ogilvy.
A represents the subject, B represents the predicate, C represents the object
What is a knowledge graph?
ibm.com
9. What distribution is typically used to estimate the mean of a normally distributed population when its standard deviation is unknown?
Fifteen Questions to Test Your Statistics Knowledge
Keith McNulty
🌟 Introducing the top 5 Python testing tools that every developer should have in their toolkit 🌟
1️⃣ Pytest:
A powerful and easy-to-use testing framework.
Say goodbye to test classes
and hello to simple test functions! 👋
2️⃣ Unittest:
The classic.
It's built-in, it's reliable, and it's been around for ages.
A true Python staple. 🐍
3️⃣ Mock:
Isolate and rule the world! 🌍
Replace parts of your system under testing with mock objects
and focus on what really matters.
4️⃣ Tox:
Test your code in various Python environments.
Ensure compatibility and make your code versatile! 🌐
5️⃣ Hypothesis:
Property-based testing made easy.
Generate test cases automatically
and put your code through its paces. 🏃
Sarah Floris, MS’ Post
Sarah Floris, MS
...catch up on these, and many more highlights
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