Build 8 Incredible Flask Web Apps Stepbystep Using Python!
Published 10/2023
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 394.79 MB | Duration: 0h 37m
Build 8 Flask Projects using Python - Live Weather App, Sketch Making App, To Do List App, Background Remover App, etc.
What you'll learnIn this course, you will see some powerful web applications using Flask and Python. We will go from easy projects to some advanced Flask projects using Python.
Project 1 - Create your first web app using Flask and Python
Project 2 - Words Counter and Paragraphs Counter Flask App using Python
Project 3 - Sketchy - Sketch making Flask App
Project 4 - Background Remover Flask App using Python
Project 5 - Live Weather Forecast Flask App
Project 6 - YouTube Subtitles Downloader Flask App
Project 7 - IPL Score Prediction with Flask app
Project 8 - Create Your Own To-Do List Flask App Using Python
Tutorial - How to Deploy a Flask App Online using Pythonanywhere
By the end of this course, you'll have an impressive portfolio showcasing your ability to build Flask web apps using Python.
RequirementsPython Programming
Basic Flask Knowledge
Basic HTML Knowledge
DescriptionAre you eager to become a proficient web developer using Python and Flask? This comprehensive course will take you from a Beginner to a Confident Flask web developer. By the end of this course, you will have the skills and knowledge to create dynamic web applications using the Flask framework, one of the most popular and versatile Python web frameworks.Following is a list of all 8 Flask projects we will build in this course:Project 1 - Create your first web app using Flask and PythonProject 2 - Words Counter and Paragraphs Counter Flask App using PythonProject 3 - Sketchy - Sketch making Flask AppProject 4 - Background Remover Flask App using PythonProject 5 - Live Weather Forecast Flask AppProject 6 - YouTube Subtitles Downloader Flask AppProject 7 - IPL Score Prediction with Flask appProject 8 - Create Your Own To-Do List Flask App Using PythonTutorial - How to Deploy a Flask App Online using PythonanywhereWhat you'll learn:Set up a development environment for FlaskCreate and configure Flask applicationsUnderstand and implement routing for different URL patternsWork with templates to design the user interfaceHandle form submissions and user inputDeploy Flask applications to the cloud or web serverThroughout the course, you'll work on hands-on projects and real-world examples, giving you the practical experience to build your web applications. By the end of the course, you'll have the skills and confidence to develop web applications using Flask, opening up exciting opportunities in web development, entrepreneurship, and more.Join us on this learning journey and unlock your potential as a Flask web developer. Enroll now and start building Flask apps with Python today!
OverviewSection 1: Welcome to the course
Lecture 1 Welcome to the course
Section 2: How to Create your first web app using Flask and Python
Lecture 2 Create your first Web App using Flask and Python
Section 3: Words Counter and Paragraphs Counter Flask App using Python
Lecture 3 Words Counter and Paragraphs Counter Flask App
Section 4: Sketchy - Sketch making Flask App - Interesting Project
Lecture 4 Sketchy - Sketch making Flask App
Section 5: Background Remover Flask App using Python
Lecture 5 Background Remover Flask App
Section 6: Live Weather Forecast Flask App
Lecture 6 Live Weather Forecast Flask App
Section 7: Youtube Subtitles Downloader Flask App
Lecture 7 Youtube Subtitles Downloader Flask App
Section 8: IPL Score Prediction Flask app
Lecture 8 IPL Score Prediction Flask app
Section 9: Create Your Own To-Do List Flask App Using Python
Lecture 9 Create your own To-Do List Flask App
Section 10: How to Deploy a Flask app online using Pythonanywhere
Lecture 10 How to Deploy a Flask app online using Pythonanywhere
Section 11: Practice Test
Python Developers who intend to enhance their Python Programming Skills,Python Developers who intend to learn about Web Development using Flask,Python Developers who intend to learn deploying ML models online
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