Tokenization is a fundamental step in Natural Language Processing (NLP) that involves breaking down text into smaller parts called tokens. These tokens are then used as input for a language model. Tokenization is a crucial step in NLP because it helps machines understand human language by breaking it down into bite-sized pieces, which are easier to analyze. In this blog post, we will explore the concept of tokenization in detail, including its types, use cases, and implementation. What is Tokenization? Tokenization is the process of converting a sequence of text into smaller parts, known as tokens. These tokens can be as small as characters or as long as words. The primary reason this process matters is that it helps machines understand human language by breaking it down into bite-sized pieces, which are easier to analyze. Tokenization is akin to dissecting a sentence to understand its anatomy. Just as doctors study individual cells to understand an organ, NLP practitioners use tokeni

In this tutorial, we will build a Blog application with Django that allows users to create, edit, and delete posts. The homepage will list all blog posts, and there will be a dedicated detail page for each individual post. Django is capable of making more advanced stuff, but making a blog is an excellent first step to get a good grasp over the framework.  Pre-Requirements Django is an open-source web framework, written in Python, that follows the model-view-template architectural pattern. So Python is needed to be installed on your machine. Unfortunately, there was a significant update to Python several years ago that created a big split between Python versions, namely Python 2 the legacy version and Python 3 the version in active development. Since Python 3 is the current version in active development and addressed as the future of Python, Django rolled out a significant update, and now all the releases after Django 2.0 are only compatible with Python 3.x. Therefore this tutorial is s