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Udemy
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Duration: Lifetime Access
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Course type: Online
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Course starts: Any time
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Course fees: US$ 469.99
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Registration Fees: Free
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Udemy
With a mission to improve lives through learning, Udemy is the online learning destination that helps students, businesses, and governments gain the skills they need to compete in today’s economy. More than 30 million students are mastering new skills from expert instructors teaching over 100,000 online courses in topics from programming and data science to leadership and team building.
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600 Harrison St.
3rd Floor San Francisco
CA 94107
United States
Learning Flask
Get started with Flask, a powerful web framework for Python that's easy to learn and use
With a growing skills gap, the need for talented developers is greater than ever before. A basic grounding in building apps with a framework as minimalistic, powerful, and easy-to-learn as Flask will be a useful skill to launch you on a career as an entrepreneur or web developer. Flask is a Python micro-framework that makes web application development as easy as saying it.
This course will give you a basic grounding in the fundamental concepts of web development, as well as the hands-on experience you require to successfully build web apps with Flask.
We'll start by turning your computer into a modern development machine. Next, we'll move beyond static websites and develop a powerful database-backed dynamic Flask app. We won’t stop there, because we’ll also cover how to implement a full authentication system.
Finally, we'll extend the app's functionality by learning how to integrate it with third-party APIs.
When you finish this course, you will be fully equipped to build your very own custom web apps.
This course uses Flask 0.10, while not the latest version available, it provides relevant and informative content for legacy users of Flask.
About the Author
Lalith Polepeddi has been working with Flask since discovering it to be an easy way to learn about web development. He's written about Flask for Tuts+ and TechPro. Aside from Flask, Lalith is interested in applying computer science to address problems in parallel domains, such as biology.