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Machines are becoming more intelligent by day. With simple data observations, they can automatically pick out recurring patterns and make better decisions without any human intervention. The explosive growth of machine learning is largely driven by multiple open-source tools which makes it easier for Python developers to familiarize with this language and adjust accordingly. In this article, we are going to explore top 5 Machine Learning Libraries in Python. If you are a developer, they will help you design a robust and performance-centered machine learning apps in Python. Their functionality is unmatched and can be directly imported into your application. So, why is Python so popular or why is it considered best programming language for machine learning in particular situations? Often regarded as utilitarian, Python is a general-purpose language specifically designed to simplify read and write. The language doesn’t overemphasize on conventional syntax, making it easier to wor...

In this sixth Django web development with Python tutorial, we're going to cover working with models in Django. Our plan is to add the final element of our website: a blog. So far, we've worked with views and a controller, but have not really done anything with models. First off, what are models? Models contain "meta data" regarding your application's data. Generally, these models are used to describe just the elements in your database, but they can be built up to be much more than just that. Second, we know we want to make a blog. Is this blog a part of our "personal" website, or would it make more sense to be its own app? It could be a part of our personal app, but it really ought to be its own entirely. Plus, chances are, we're going to want to incorporate a blog on other apps, so let's make a new app: python manage.py startapp blog. We just added a new app. What is the first thing we should do? Right, install it! mysite/settings.py ...

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