/REST-APIs-with-Flask-and-Python

Code Repository for REST APIs with Flask and Python, Published by Packt

MIT LicenseMIT

REST APIs with Flask and Python [Video]

This is the code repository for REST APIs with Flask and Python [Video], published by Packt. It contains all the supporting project files necessary to work through the video course from start to finish.

About the Video Course

Are you tired of boring, outdated, incomplete, or incorrect tutorials? I say no more to copy-pasting code that you don’t understand. Welcome to one of the best resources online on creating REST APIs. I'm Jose, and I'm a software engineer; here to help you truly understand and develop your skills in web and REST API development with Python. Production-ready REST APIs. This course will guide you in creating simple, intermediate, and advanced REST APIs including authentication, deployments, caching, and much more. We'll start with a Python refresher that will take you from the very basics to some of the most advanced features of Python—for you to never be lost or confused. Using Flask and popular extensions Flask-RESTful, Flask-JWT, and Flask-SQLAlchemy we will dive right into developing complete, solid, production-ready REST APIs. We will also look into essential technologies Git, Heroku, nginx, and Varnish. I pride myself in providing excellent support and feedback to every single student. I am always available to guide you personally, and answer questions for your benefit.Don't wait, and sign up today to take another step toward web services mastery!I'll see you on the inside.

What You Will Learn

  • Improve your understanding of descriptive statistics and apply them over a dataset.
  • Learn how to deal with missing data and outliers to resolve data inconsistencies.
  • Explore various visualization techniques for bivariate and multivariate analysis.
  • Enhance your programming skills and master data exploration and visualization in Python.
  • Learn multidimensional analysis and reduction techniques.
  • Master advanced visualization techniques (such as heatmaps) for better analysis and rapidly broaden your understanding

Instructions and Navigation

Assumed Knowledge

To fully benefit from the coverage included in this course, you will need:
Students wanting to extend the capabilities of mobile and web applications by using server-side technologiesSoftware developers looking to expand their skill-set by learning to develop professional grade REST APIsThose looking to learn Python while specifically catering to web services

Technical Requirements

This course has the following software requirements:
NA

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