Book Image

Web App Development Made Simple with Streamlit

By : Rosario Moscato
Book Image

Web App Development Made Simple with Streamlit

By: Rosario Moscato

Overview of this book

This book is a comprehensive guide to the Streamlit open-source Python library and simplifying the process of creating web applications. Through hands-on guidance and realistic examples, you’ll progress from crafting simple to sophisticated web applications from scratch. This book covers everything from understanding Streamlit's central principles, modules, basic features, and widgets to advanced skills such as dealing with databases, hashes, sessions, and multipages. Starting with fundamental concepts like operation systems virtualization, IDEs, development environments, widgets, scripting, and the anatomy of web apps, the initial chapters set the groundwork. You’ll then apply this knowledge to develop some real web apps, gradually advancing to more complex apps, incorporating features like natural language processing (NLP), computer vision, dashboards with interactive charts, file uploading, and much more. The book concludes by delving into the implementation of advanced skills and deployment techniques. By the end of this book, you’ll have transformed into a proficient developer, equipped with advanced skills for handling databases, implementing secure login processes, managing session states, creating multipage applications, and seamlessly deploying them on the cloud.
Table of Contents (23 chapters)
Free Chapter
1
Part 1: Getting Started with Streamlit
5
Part 2: Building a Basic Web App for Essential Streamlit Skills
10
Part 3: Developing Advanced Skills with a Covid-19 Detection Tool
15
Part 4: Advanced Techniques for Secure and Customizable Web Applications

Installing and launching Streamlit

Finally, we are ready to write our code to create beautiful web applications! Where do we start? The first thing we must do is install Streamlit.

So, let’s create a new directory – we will call it streamlit_course. Once you’re inside it, prepare a new virtual environment by typing the well-known pipenv shell command. Once you are done running the pipenv shell command, you will get the following output:

Figure 3.1: The streamlit_course virtual environment creation

Figure 3.1: The streamlit_course virtual environment creation

Installing Streamlit is very easy – it’s a matter of using a simple instruction, as indicated on its official website (www.streamlit.io):

Figure 3.2: Installing Streamlit

Figure 3.2: Installing Streamlit

Since we are using pipenv and the streamlit_course virtual environment that we just created, we have to modify the instruction suggested in Figure 3.2 slightly, like so:

pipenv install streamlit

You will get the following...