Enroll Course: https://www.udemy.com/course/python-streamlit-f/
Are you curious about programming but intimidated by the perceived complexity? Do you want to dive into coding but worry about sticking with it? If you’re nodding along, then the Udemy course ‘作って学ぶ！Python ～ Streamlit’ (Build and Learn! Python ~ Streamlit) might be exactly what you need.
This course is specifically designed for absolute beginners, assuming no prior knowledge of Python or programming in general. The only prerequisite is basic computer literacy, including minimal text input. The core of the course revolves around learning by doing, specifically by building interactive web applications that can display data, graphs, maps, and images directly in your browser.
What sets this course apart is its focus on Streamlit, a Python library that dramatically simplifies the process of creating data-intensive web applications. While other programming languages might require extensive learning to achieve similar results, Python with Streamlit allows even novices to build functional applications in a surprisingly short amount of time. Although the video content is under 9 hours, the instructor realistically estimates that students will need about 3 to 5 times that duration for hands-on practice and true comprehension. This aligns with the ‘learn by doing’ philosophy – the best way to grasp programming is through consistent practice.
The course encourages a ‘learn by doing’ approach, urging students not to overthink things but to simply start. The goal is to take that first step, experiment, and then decide if this path is for you. It’s a low-pressure way to explore the world of programming and see what you can create.
While the syllabus isn’t detailed, the overview promises a practical, project-based learning experience. If you’re looking for an accessible entry point into Python and web development, and you’re eager to see tangible results quickly, this course is a strong recommendation. It demystifies programming and empowers beginners to build impressive applications with Python and Streamlit.
Enroll Course: https://www.udemy.com/course/python-streamlit-f/