Category: Examples of Streamlit’s capabilities

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

Building the menu and adding decorations 2 – Streamlit Essentials – Configuring the Environment, Managing Packages, and More

Leave a Comment on Building the menu and adding decorations 2 – Streamlit Essentials – Configuring the Environment, Managing Packages, and More

set_page_config accepts a certain number of arguments, as follows: You can experiment with different configurations and easily find information on how to use each instruction in Streamlit’s Documentation section, which includes input arguments and output results. The following screenshot explains the set_page_config() instruction. As you can see, there are several different configurations that we didn’t […]

Certification Exams of IT Examples of Streamlit’s capabilities Installing and launching Streamlit IT Exams Streamlit features and widgets

Building the menu and adding decorations – Streamlit Essentials – Configuring the Environment, Managing Packages, and More

Leave a Comment on Building the menu and adding decorations – Streamlit Essentials – Configuring the Environment, Managing Packages, and More

Building the menu and adding decorations NLP Web App might be a good title for our application, but to be honest, it’s just some black text on a white background, so it’s not very appealing at the moment. One of the greatest features of Streamlit is that we can use HTML very easily. So, let’s […]

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

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

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

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

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 […]

Back To Top