Flask Essential Training

Course details

Flask's popularity continues to grow across the web development, software engineering, and data science communities, due to its simplicity and flexibility. In this course, software engineer Natasha Ferguson equips you with the skills to build lightweight web applications using Flask, and meet the current demand for quick, scalable web solutions. Explore Flask as you step through the development of a Health Tracker Dashboard. Learn about Flask’s core features, including routes, templating, form handling, database integration, and data visualization, and how to deploy an application. The value of building a Health Tracker Dashboard is in empowering you to actively engage with and understand your daily health routines. By inputting data on exercise, meals, and sleep, you can visualize your habits through charts and graphs, which makes it easier to identify patterns and areas for improvement.

Learning objectives
Learner skills acquired: Flask, Jinja templating, WTForms, SQLAlchemy, Matplotlib/Plotly, Heroku deployment.

Concepts

0. Introduction

01 - Build a full stack app in Python with Flask
02 - Prerequisites

1. Introduction to Flask

03 - What is Flask
04 - Comparing Flask and Django
05 - Project step 1 - Intro to the Health Tracker Dashboard project

2. Setting Up Your Flask Environment

06 - Setting up your Flask environment and first application
07 - Accessing the code repository on GitHub
08 - Project step 2 - Project directory and structure setup

3. Flask Routes and Views

09 - Routing basics
10 - View functions
11 - URL parameters
12 - Project step 3 - Defining routes and creating view functions

4. Jinja Templating in Flask

13 - Introduction to Jinja templating
14 - Template inheritance
15 - Project step 4 - Creating templates and implementing inheritance

5. Forms and Form Handling

16 - Form creation
17 - Form validation
18 - Form submission
19 - Project step 5 - Designing the data entry form using Flask-WTF
20 - Project step 6 - Adding validation to the data form

6. Database Operations with Flask-SQLAlchemy

21 - Setting up SQLAlchemy
22 - Model creation
23 - Conceptual overview of create and read
24 - Create and read operations
25 - Conceptual overview of update and delete
26 - Update and delete operations
27 - Project step 7 - Integrating the SQLite database with Flask
28 - Project step 8 - Implementing create and read operations

7. Data Visualization

29 - Chart basics
30 - Setting up and seeding the database
31 - Creating a chart from database data
32 - Project step 9 - Generating charts for visualizing data

8. Conclusion and Deployment

33 - Deploying to Vercel
34 - Project step 10 - Prepare for deployment
35 - Project step 11 - Deploying the project

Conclusion

36 - Extending your Flask knowledge