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via Udemy |
Go to Course: https://www.udemy.com/course/streamlit-with-python-zero-to-hero/
Certainly! Here's a comprehensive review and recommendation for the Coursera course on Streamlit: --- **Course Review: Building Web Apps with Streamlit on Coursera** The course on Coursera dedicated to Streamlit is an excellent resource for anyone interested in quickly developing interactive web applications for data science and machine learning projects using Python. As an open source app framework, Streamlit simplifies the process of creating visually appealing and functional web apps with minimal code, making it an ideal tool for data enthusiasts, students, and professionals. **Course Content and Structure** This course offers a hands-on approach, starting from the basics of what Streamlit is and guiding learners through the installation process. It then progresses to more practical projects, such as building a Number Tracker App and integrating computer vision capabilities. The curriculum emphasizes coding along, encouraging active participation and real-time application of concepts. Key features include: - Easy integration with popular Python libraries like scikit-learn, Keras, PyTorch, NumPy, pandas, and Matplotlib. - Demonstrations on deploying applications on cloud platforms such as Heroku. - Practical insights into widgets, buttons, camera inputs, and data caching for optimized performance. - Automatic deployment updates using version control with Git repositories. **Who Will Benefit?** This course is tailored for students, data scientists, and developers with a basic understanding of Python programming. It's especially suitable for those who want to create polished web apps for data visualization, machine learning models, or other Python projects without diving deep into complex web development frameworks. **Prerequisites & Requirements** - Basic programming knowledge in Python - A mid-to-high-range PC or laptop - Operating systems: Windows 10, Ubuntu, or Mac **Pros and Recommendations** - **Hands-on Learning:** The coding tutorials foster active learning, which is highly effective. - **Comprehensive Coverage:** Covers both foundational concepts and advanced features like deployment. - **Time-efficient:** Enables quick development of professional web applications. - **Ideal for Learners with Python Background:** No prior web development experience needed. **Final Verdict** I highly recommend this Coursera course to anyone eager to expand their data science toolkit with interactive web apps. Whether you're a student, researcher, or developer, this course provides practical skills that can be immediately applied in projects and presentations. The blend of theory and hands-on practice makes it a valuable and enjoyable learning experience for aspiring Python web app developers. --- If you'd like, I can help you craft a shorter summary, a promotional blurb, or guide you through specific features of the course!
Streamlit is an open source app framework in Python language. It helps us create web apps for data science and machine learning in a short time. It is compatible with major Python libraries such as scikit-learn, Keras, PyTorch, SymPy(latex), NumPy, pandas, Matplotlib etc. With Streamlit, no callbacks are needed since widgets are treated as variables. Data caching simplifies and speeds up computation pipelines. Streamlit watches for changes on updates of the linked Git repository and the application will be deployed automatically in the shared link.This Course is designed to get started with python library called Streamlit for developing webapps on the go. It helps students to learn python and code some python projects into webapps with simple and few lines of code.We will start from the scratch that what is StreamLit and the installation etc. RequirementsPlease ensure that you have the following:Basic understanding of ProgrammingPython Programming SkillsMid to high range PC/ LaptopWindows 10/Ubuntu/MacWhat you'll learnBuild a StreamLit Number Tracker AppIntegrate Computer Vision into StreamLitImplement Widgets, buttons and camera inputsPython and StreamLit WebApp Development on HerokuAre there any course requirements or prerequisites?Python Programming ExperienceWho this course is for:Students who want to create presentable web appsStudents who want to learn StreamLit and how to integrate it with amazing libraries in pythonThis is a practice along course. You can code along for maximum learning.