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Money Makes You Ridiculously Happier (If You’ll Only See It)

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5 Reasons That Keep You Stuck and Broke

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5 Brutal Secrets I’d Leak to First Time First-Time Digital Entrepreneurs

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HTML & Coding Introduction – Course for Beginners

Are you interested in coding but have never tried it before? Are you curious about how to create your own website or app? If so, then this video course is for you! We just published a full course on the freeCodeCamp.org YouTube channel that will teach you the basics of

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Topic Modeling Tutorial – How to Use SVD and NMF in Python

In the context of Natural Language Processing (NLP), topic modeling is an unsupervised learning problem whose goal is to find abstract topics in a collection of documents. Topic Modeling answers the question: "Given a text corpus of many documents, can we find the abstract topics that the text is

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10 Lucrative Side Hustles for Writers to Make Extra Money

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I use these 5 tools to make money blogging online

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I’ve Been Writing Articles For 1000 Days. Here are My Best Ideation Methods.

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How to Use SQL Triggers

MySQL Triggers are like JavaScript event listeners. They are not executed until an action that they have been told to listen for happens. Here's a helpful description of them from the MySQL docs: > A trigger is a named database object that is associated with a table, and that

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How to Use SQLite with Python

Databases are a crucial component in software development. After all, we need to collect data in a location where we can digitally access it for reading, writing, updating, and deleting. In this tutorial, you'll learn how to use SQLite with Python. Learning SQLite is a great way to learn how

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Git Diff and Patch – Full Tutorial for Developers

Many of the interesting processes in Git like merging, rebasing, or even committing are based on diffs and patches. Developers work with diffs all the time, whether using Git directly or relying on the IDE's diff view. In this post, you will learn what Git diffs and patches are, their

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The Difference Between Data Science and Data Engineering

I recently became very interested in Data Science and Data Engineering, especially how they compare and complement each other. I initially assumed Data Engineering was a subset of Data Science. But after extensive research I found out just how much the two fields differ. In this article, I'll discuss

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Data-Driven Reality – Exploring the Power of AI, ML, Virtual and Augmented Reality

By now it's no secret that digital data is generated by the truckload and that it can be worth its weight in gold. But that knowledge isn't half as important as understanding how you can tame the data beast and then wring out every drop of its value. Naturally,

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6 Effective Tips to Use ChatGPT as Noble Writers

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Want to Release a Bestseller? Here’s A Plan.

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Forget ChatGPT, Here Are New AI Tools That Will Blow Your Mind

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Yes, Freelancers Can Enjoy the Benefits of Business Intelligence Too

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Python Remove Key from Dictionary – How to Delete Keys from a Dict

Dictionaries are a useful data type in Python for storing data in a key-value format. And there are times when you might need to remove a particular key-value pair from a dictionary. You'll learn some dictionary basics, as well as how to delete keys, in this tutorial. How to

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Why You Should Build Your Own Open-Source Project

After starting to learn about Open Source and making some good contributions during my first Hacktoberfest, I was moving ahead in my OSS journey. I wanted to have a big project of my own to which others could contribute. Fortunately, I had an idea for a project, and decided

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Open-Closed Principle – SOLID Architecture Concept Explained

The Open-Closed principle (OCP) is one the 5 SOLID design principles. It was popularized by the American scientist and instructor, Robert C. Martin (aka Uncle Bob) in a paper he published in 2000. The other 4 SOLID design principles are: * Single Responsibility Principle (SRP) * Liskov Substitution

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ValueError: math domain error [Solved Python Error]

In mathematics, there are certain operations that are considered to be mathematically undefined operations. Some examples of these undefined operations are: * The square root of a negative number (√-2). * A divisor with a value of zero (20/0). The "ValueError: math domain error" error

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