Flask Fundamentals, App Basics, and Food Tracker App

Coursera Courses ↗ · Coursera

Open Course on Coursera

Free to audit · Opens on Coursera

Flask Fundamentals, App Basics, and Food Tracker App

Coursera · Intermediate ·📐 ML Fundamentals ·1d ago
This course features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. Dive into the world of Flask, a powerful web development framework, and build practical applications step by step. This course walks you through essential concepts like routing, database management with SQLAlchemy, templates, and user authentication. By applying these concepts, you will master building web apps with Flask while also learning how to structure your projects for scalability. Starting with Flask basics, you’ll explore the core concepts like routing, request methods, and form handling. As you move along, you'll learn about database operations, including creating tables, inserting, updating, and querying data with SQLAlchemy. You will also create a dynamic user registration app, an API, and a comprehensive dashboard application that employs charts and user login features. Alongside, you’ll also create a food tracker app with a strong focus on deploying to cloud servers. The course is perfect for anyone interested in web development and building robust, data-driven applications. It’s designed for beginners with no prior experience in Flask, though familiarity with Python programming basics is recommended. The difficulty level is beginner to intermediate, making it ideal for those just starting with web development frameworks and web apps. By the end of the course, you will be able to create and deploy full-stack applications using Flask, manage databases with Flask-SQLAlchemy, design dynamic web pages with templates, and integrate user authentication into your projects.
Watch on Coursera ↗ (saves to browser)
Sign in to unlock AI tutor explanation · ⚡30

Related AI Lessons

Text Data Clustering Workflow: Preprocessing, Vectorization, Dimensionality Reduction & Evaluation…
Learn a step-by-step text data clustering workflow, including preprocessing, vectorization, dimensionality reduction, and evaluation using Silhouette, Elbow, and Inertia metrics
Medium · Machine Learning
Product of Array Except Self
Learn to solve the Product of Array Except Self problem without division in O(n) time complexity using Python
Medium · Python
AllML — All-in-One Machine Learning Library: Simplifying ML Workflows with a Single Import
Simplify ML workflows with AllML, a Python library that unifies dozens of popular ML algorithms behind a single API
Medium · Machine Learning
The most fascinating history of the Monty Hall problem
Learn about the Monty Hall problem and its fascinating history, which highlights the importance of probability and statistics in decision-making
Medium · Python
Up next
Advanced Data Structures & Algorithms in Practice
Coursera
Watch →