Build Web Apps in Python with Streamlit 0.8 from Pluralsight

This course will teach you how to build web applications using Streamlit, which is an open-source Python library. Leverage your Python skills and start building web applications for your data, without requiring you to learn JavaScript, HTML or CSS.

Your Python project works great, but how can you quickly add a web interface to it? Front-end development is not your strong point? In this course, Build Web Apps in Python with Streamlit, you'll learn how to build web interfaces using the Streamlit Python library. First, you'll learn to build static web applications. Next, you'll build interactive web applications. Finally, you'll understand the deployment options for your Streamlit web applications. When you're finished with this course, you'll have the skills and knowledge to add good-looking web applications to your Python projects.

In this course, you will learn how to build static web applications, interactive web applications, and how to extend and deploy Streamlit web applications.

Before taking this course, you should be familiar working with Python.

This course is for people who are not familiar with programming languages like CSS, HTML, or JavaScript; such as back-end developers, data engineers, and data scientists.

Heroku is a cloud platform as a service supporting several programming languages.

Streamlit is an open-source phython framework for building web apps for Machine Learning and Data Science.

What's inside

Syllabus

Course Overview

Getting Started with Streamlit

Building Very Simple Web Applications

Building More Web Applications

Extending Streamlit Web Applications

Deploying Streamlit Web Applications

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Imparts skills and knowledge highly relevant in industry

Provides learners a robust foundation for beginners

Delivers hands-on labs and interactive materials

Course can be useful for back-end developers, data engineers, and data scientists

Relies on Python, which is an older programming language

Does not provide in-depth training in frontend web development

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Build Web Apps in Python with Streamlit 0.8 with these activities:

Connect with Streamlit Experts

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Enhance your learning experience by reaching out to experienced Streamlit users and seeking their guidance.

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Identify potential mentors in the Streamlit community
Connect with them and request mentorship
Schedule regular meetings and discussions

Review Python Basics

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Start by refreshing your Python programming knowledge to enhance your readiness for the course content.

Browse courses on Python Basics

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Review Python syntax and data structures
Practice writing simple Python programs

Build Simple Static Web Apps

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Reinforce your understanding of static web app development using Streamlit by building a few simple apps.

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Create a new Streamlit project
Add a title and header to your app
Display static text and images

Five other activities

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Show all eight activities

Explore Streamlit Community Resources

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Expand your knowledge by exploring the Streamlit community forums and tutorials.

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Join the Streamlit community forums
Search and review existing Streamlit tutorials
Ask questions and engage with other community members

Participate in a Streamlit Workshop

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Enhance your practical skills and knowledge by attending a Streamlit workshop.

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Research and find a relevant Streamlit workshop
Register and attend the workshop
Actively participate in hands-on exercises and discussions

Develop a Streamlit Web App

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Enhance your understanding by building a Streamlit web app for a project you're working on.

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Identify a project or idea for your app
Design the layout and functionality of your app
Implement the app using Streamlit
Deploy your app for sharing and use

Build a Portfolio of Streamlit Web Apps

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Showcase your skills and progress by building a portfolio of Streamlit web apps.

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Identify and gather ideas for your web apps
Design and develop each web app using Streamlit
Deploy and document your apps for presentation

Contribute to the Streamlit Community

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Deepen your knowledge by contributing to the Streamlit open-source community.

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Identify areas where you can contribute
Start working on your contribution
Submit a pull request to the Streamlit GitHub repository

Career center

Learners who complete Build Web Apps in Python with Streamlit 0.8 will develop knowledge and skills that may be useful to these careers:

Data Analyst

Data Analysts help companies get to know their customers better with the use of data, applying statistical analysis and data modeling to help businesses address questions so that they can maximize profits. This course is a great fit if you want to break into this exciting field and gain a competitive edge in the job market. Streamlit will help you to easily create interactive visualizations to share your findings with clients and stakeholders.

See salaries and explore the career path for Data Analyst

Data Scientist

Data Scientists work with huge quantities of data with the goal of extracting insights and patterns, which are then used to optimize business processes, prevent fraud, and many other applications. Experience with Streamlit will be a big addition to your resume if you aspire to this career. It will allow you to quickly create web applications to visualize and share your findings, making them more accessible to wider audiences including clients and stakeholders who may not have a background in data analysis or programming.

See salaries and explore the career path for Data Scientist

Software Engineer

Software Engineers apply engineering principles to design, develop, deploy, and maintain software applications. This course covers the range of skills you will need to be successful in this role. You will learn how to quickly and easily build visually appealing web interfaces for your applications, making it easier to collaborate with teammates, and to present your ideas to management or to clients.

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Web Developer

Web Developers work on the design and development of websites, managing the creation and maintenance of web applications across a variety of devices. This course will be helpful to you in this role by teaching you how to use Streamlit to quickly spin up web applications to graphically illustrate your ideas and research, without needing to learn complex Javascript frameworks.

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Business Analyst

Business Analysts apply analytical and problem-solving skills to help businesses improve their performance. Experience with Streamlit will be a big addition to your resume if you aspire to this career. It will allow you to quickly create web applications to demonstrate your ideas to clients and stakeholders, even if they do not have a programming background.

See salaries and explore the career path for Business Analyst

Machine Learning Engineer

Machine Learning Engineers utilize machine learning and data analysis to design and construct machine learning models. This course may be helpful to you in this role by teaching you how to use Streamlit to quickly create web applications to deploy machine learning models for use by clients and stakeholders.

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Data Engineer

Data Engineers focus on the development, deployment, and maintenance of data pipelines, ensuring that data is transformed, integrated, and moved throughout an organization for use in analytics. This course may be helpful to you in this role by teaching you how to use Streamlit to quickly create web applications to demonstrate the results of your data engineering projects to clients and stakeholders.

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Product Manager

Product Managers turn customer needs into products. They define the strategy and vision for products, working with engineering, design, and marketing to bring products to market. This course may be helpful to you in this role by teaching you how to use Streamlit to quickly create web applications to demonstrate your ideas to clients and stakeholders.

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UX Designer

UX Designers focus on creating positive user experiences for products and services. They work to make sure that products are easy to use, enjoyable, and meet the needs of users. This course may be helpful to you in this role by teaching you how to use Streamlit to quickly create web applications to demonstrate prototypes to clients and stakeholders, who can then use the interactive application to suggest changes.

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Technical Writer

Technical Writers create documentation for software, hardware, and other technical products. They work with engineers, developers, and other subject-matter experts to create clear and concise documentation that helps users understand and use technical products. This course may be helpful to you in this role by teaching you how to use Streamlit to quickly create web applications to demonstrate technical products to users, clients, and stakeholders.

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Statistician

Statisticians collect, analyze, interpret, and present data. They work in a variety of industries, including healthcare, finance, and marketing. This course may be helpful to you in this role by teaching you how to use Streamlit to quickly create web applications to demonstrate your findings to clients and stakeholders, even if they do not have a programming background.

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Project Manager

Project Managers plan, execute, and close projects. They work with stakeholders to define project scope, develop project plans, and manage project resources. This course may be helpful to you in this role by teaching you how to use Streamlit to quickly create web applications to track project progress and communicate with stakeholders.

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Consultant

Consultants provide advice and guidance to businesses on a variety of topics, including strategy, operations, and technology. This course may be helpful to you in this role by teaching you how to use Streamlit to quickly create web applications to demonstrate your ideas to clients and stakeholders, who can then use the interactive application to suggest changes.

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Data Visualization Specialist

Data Visualization Specialists are responsible for creating visual representations of data. Experience with Streamlit will be a big addition to your resume if you aspire to this career. It will allow you to quickly create web applications to graphically illustrate your ideas and research, for use in presentations or publications.

See salaries and explore the career path for Data Visualization Specialist

Marketing Analyst

Marketing Analysts collect, analyze, and interpret data to help businesses understand their customers and develop marketing campaigns. This course may be helpful to you in this role by teaching you how to use Streamlit to quickly create web applications to demonstrate your findings to clients and stakeholders, even if they do not have a programming background.

See salaries and explore the career path for Marketing Analyst