foreword
"In the beginner's mind there are many possibilities, but in the expert's mind there are few."
– Shunryu Suzuki
This Zen insight captures the profound value of learning from a true master. For those seeking to deeply understand Streamlit, Aneev Kochakadan is precisely such a guide.
Learning any web framework can feel daunting. Yet Streamlit has exploded as the go-to tool for data science and machine learning apps—from nimble startups to OpenAI, Anthropic, and Fortune 50 giants. It bridges Python's AI dominance with web's visual power, enabling everything from data dashboards to LLM-driven experiences.
Streamlit's magic: radical simplicity without sacrificing depth. Its concise API transforms complex data into interactive web apps in minutes. Yet beneath this elegance lies profound richness—even experienced developers become perpetual students of its possibilities.
In "Build Python Web Apps with Streamlit," Aneev captures this duality perfectly. Like a Zen master offering direct transmission, he shares a deep understanding of Streamlit's strengths, quirks, and hidden powers. Through meticulous examples—from foundational apps to sophisticated LLM tools—he teaches not just mechanics but mindful creation: defining requirements, debugging subtle errors, delivering intuitive experiences.