Category: Local versus the cloud

Certification Exams of IT Configuring our environment Examples of Streamlit’s capabilities Installing and launching Streamlit IT Exams Local versus the cloud

Adding the Text Analysis part – Organizing and Displaying Content with Columns, Expanders, and NLP Techniques

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Adding the Text Analysis part In this part, we will use textblob, a Python library for processing textual data. It provides a simple API for diving into common NLP tasks such as part-of-speech tagging, sentiment analysis, classification, and more. For more details, visit pypi.org (the famous Python Package Index). As usual, we need to install […]

Certification Exams of IT Examples of Streamlit’s capabilities Installing and launching Streamlit IT Exams Local versus the cloud Streamlit features and widgets

Hiding and showing parts depending on importance – Organizing and Displaying Content with Columns, Expanders, and NLP Techniques

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Hiding and showing parts depending on importance From a very broad point of view, an application is just a way to visualize, transform, and save information. Not always showing all the available information at the same time is a winning idea. For example, having all the information on a unique screen could make our app […]

Certification Exams of IT Configuring our environment Examples of Streamlit’s capabilities Installing and launching Streamlit IT Exams Local versus the cloud Streamlit features and widgets

Adding the two basic functions – Organizing and Displaying Content with Columns, Expanders, and NLP Techniques

Leave a Comment on Adding the two basic functions – Organizing and Displaying Content with Columns, Expanders, and NLP Techniques

Adding the two basic functions Let’s start with the first basic function: Basic Info. Expanding Basic Info, we get Text Stats. In Chapter 4, among others, we imported the neattext package, which is very useful for our statistics as it has a function named word_stats. If you haven’t already imported it, it’s time to do […]

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