Master JSON Using Python
What you’ll learn
Comprehend JSON Structures
Serialize and Deserialize JSON in Python
Interact with APIs through Python
Alter JSON using Python
Normalize Nested JSON Structures
Requirements
Computer
Description
What is JSON?JSON is by far the most pervasive data transportation format in the modern world. Its used in APIs, Web Applications, Databases, Configuration Files and so much more. We interact with JSON Data on a daily basis we just don’t see it because it is used behind the scenes. Did you make an online purchase today? That website probably used JSON to complete your transaction. Have you ever used an online calculator? That calculator probably took your inputs and passed information back via JSON . What about the weather app on your phone? Such applications make requests to an API in order to bring you the latest forecasts.Why is JSON so popular? JSON is popular for a number of reasons. One reason is that it is human readable and easily parsed by multiple programming languages. This course focuses on using JSON with Python, but many of the concepts covered here can easily be applied to other languages. What will the course be like? This course aims to provide practical hands on experience. Throughout the course there will be coding exercises, quizzes, and assignments designed to help solidify the concepts learned. By the end of the course you should be a master of JSON data and will know how it can be created, changed, and manipulated in Python.
Overview
Section 1: Getting Started
Lecture 1 Welcome to the Course!
Lecture 2 Installing Python
Lecture 3 Installing JupyterLab
Section 2: JupyterLab Crash Course
Lecture 4 Working with Python Files
Lecture 5 Using the Terminal
Lecture 6 Using Interactive Python Notebooks
Section 3: JSON Structures
Lecture 7 What is JSON?
Lecture 8 Objects
Lecture 9 Arrays
Lecture 10 Nested JSON
Section 4: Converting JSON Structures to Python Structures
Lecture 11 Data Type Compatibility
Lecture 12 Deserializing JSON
Lecture 13 Serializing JSON
Section 5: Manipulating Python Structures
Lecture 14 Navigating Dictionaries & Lists
Lecture 15 List Methods
Lecture 16 Dictionary Methods
Section 6: Using Pandas with JSON
Lecture 17 Normalizing JSON
Lecture 18 Exporting DataFrames to JSON
Section 7: Working with APIs in Python
Lecture 19 API Basics
Lecture 20 Making Your First Request
Lecture 21 Request Components
Lecture 22 Response Components
Lecture 23 Congratulations!
Beginner Python Developers
Course Information:
Udemy | English | 1h 36m | 688.54 MB
Created by: Jayden Rasband
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