Technologies / Programming

Building analytical applications with Python Shiny

Training on building interactive analytical applications with Python Shiny (from Posit), covering reactive programming, UI components, express and core modes, and application deployment. The program focuses on practical construction of dashboards and analytical tools with integration of plotly and matplotlib visualization libraries. Participants will learn the full application development cycle — from prototype to deployment in Docker, Shinylive and Posit Connect.

Why choose this training?

Python Shiny (from Posit, the creators of RStudio) is a modern framework for building interactive analytical applications without the need to learn JavaScript or full web frameworks. This two-day training prepares analysts and Data Scientists to create professional dashboards and analytical tools — from rapid prototypes in express mode, through advanced applications in core mode, to production deployment. The program covers reactive programming, UI components, integration with plotly and matplotlib visualization libraries, and deployment through Shinylive, Docker and Posit Connect.

After completing the training, participants will be able to: create interactive analytical applications in Python Shiny from scratch, implement reactive programming with reactive values and effects, build complex UI layouts with Shiny modules and components, integrate plotly and matplotlib visualization libraries with Shiny applications. These competencies directly translate into higher efficiency in IT project execution.

This training is particularly valuable for: data analysts looking to build interactive dashboards, Data Scientists presenting analysis results as applications, Python programmers interested in building data-driven web applications.

What sets our approach apart?

At EITT, we believe the best learning happens through practice. During 2 days of intensive training, participants work on real-world examples and scenarios, ensuring not only theoretical understanding but above all the ability to apply it in practice.

With over 2,500 trainings in our portfolio and a 4.8/5 rating from participants, EITT is a trusted partner in competency development for organizations of all sizes. Our trainers are practitioners with years of experience who share current knowledge and proven solutions.

Looking for training tailored to your team’s needs? Contact us — we’ll prepare a program customized to your requirements.

Benefits

Participants will be able to create interactive analytical applications in Python Shiny from scratch
They will gain the ability to implement reactive programming with reactive values and effects
They will learn to build complex UI layouts with Shiny modules and components
They will learn techniques for integrating plotly and matplotlib visualization libraries with Shiny applications
They will be able to deploy Shiny applications in production environments (Docker, Shinylive, Posit Connect)
They will develop skills in creating reusable modules and components
They will master both working modes — express for rapid prototyping and core for advanced applications

Who is this training for?

Data analysts looking to build interactive dashboards

Data Scientists presenting analysis results as applications

Python programmers interested in building data-driven web applications

Business Intelligence specialists building reporting tools

Data engineers creating interfaces for analytical pipelines

Researchers and scientists sharing results in interactive form

Analytics consultants preparing data presentations for clients

Prerequisites

Intermediate knowledge of Python
Basic familiarity with data analysis in pandas
Knowledge of HTML and CSS basics (helpful but not required)
Experience with any visualization library (matplotlib, plotly)

Training program

Shiny for Python (Posit) architecture — differences vs R Shiny
Express mode — rapid application prototyping
Core mode — full control over application structure
Comparing Shiny with Streamlit, Dash and Gradio

Shiny reactivity model — inputs, outputs, reactive values
Reactive calculations and effects
Application state management
Reactive isolation and data flow control

Built-in input components (slider, select, date, file upload)
Panels, cards, sidebar and navigation
Shiny modules — reusable components
Responsive design and custom CSS

Integration with plotly — interactive charts
Rendering matplotlib and seaborn charts
Data tables with sorting and filtering
Maps and geospatial visualizations

Shinylive — running applications in the browser (serverless)
Deployment on Posit Connect
Containerization with Docker
Testing and debugging Shiny applications

Delivery Methods

Online

Convenience of participating from anywhere
Interactive live sessions with trainer
Materials available for 30 days
No travel costs

On-site

Direct contact with trainer and group
Intensive hands-on workshops
Networking with other participants
Full focus on learning

Training Topics

Python Shiny (Posit) Reactive programming Express mode vs core mode UI components in Shiny Integration with plotly Integration with matplotlib Shiny modules Shinylive — serverless applications Deployment with Docker Posit Connect Analytical dashboards Interactive data visualization

Frequently asked questions

What are the prerequisites for this training?

The Building analytical applications with Python Shiny training requires intermediate knowledge of Python, basic familiarity with data analysis in pandas, knowledge of HTML and CSS basics (helpful but not required) and experience with any visualization library (matplotlib, plotly).

What is the format and duration of this training?

The training lasts 2 days and is available in online and on-site format.

Who is this training designed for?

This training is designed for data analysts looking to build interactive dashboards, Data Scientists presenting analysis results as applications, and Python programmers interested in building data-driven web applications.