In this project, we will study how to manipulate and extract data from PDF files, such as text and images, and combine multiple PDF files into a single document.

In this project, we will be utilizing the capabilities of the Natural Language Toolkit (NLTK), a versatile and comprehensive library in Python designed for working with human language data. Our focus will encompass several core areas of natural language processing: tokenization, stemming, tagging and parsing. These NLTK features will form the backbone of our text processing and analysis tasks, making it an essential tool in our project for handling and extracting meaningful insights from language data.

Unlock the power of regular expressions in Python with our comprehensive course designed for both beginners and experienced developers. This course will take you through the essential functions of the re module, including search, findall, finditer, and more, using practical examples and hands-on exercises. You'll learn how to extract and manipulate text data efficiently, enabling you to tackle complex string processing tasks with confidence. Whether you're looking to enhance your data analysis skills or streamline your coding workflow, this course provides the tools and knowledge to master regular expressions and elevate your programming capabilities.

In this project, we are going to understand how to handle Date and Times in Python.