Python for High-Performance APIs

Name: Python for High-Performance APIs
Rating: 4.7 (6 reviews)

CBOR using python: A lightweight alternative to JSON

Created byYago Caetano

Last updated 8/2024

English

What you'll learn

The CBOR Format
Why JSON and CBOR exists
How use Python to work with CBOR
How use CBOR in practical application
How to measure API response time
How analyse network packets with Wireshark

Course content

5 sections • 15 lectures • 1h 36m total length

01 - Welcome3:32
Learn what CBOR is and how it compares to JSON, then build a Python API that supports both formats and benchmark payload size, serialization, and deserialization times.
02 - Installing VS Code1:43
Install and set up visual studio code to edit python scripts for this course, choosing the correct os version and completing download and installation.
03 - Installing Python2:24
Learn how to install Python from the official site, download version 3.12.4, complete the setup, and verify the installation with python --version on your system.

04 - JSON Introduction8:59
Explore the definition and history of JSON, developed by Douglas Crockford as a lightweight data interchange format, and how JSON uses key-value pairs, objects, arrays, and primitive types.
Quiz about JSON Introduction
05 - Supported data types5:05
Explore the basic JSON data types—strings, numbers, booleans, null, objects, and arrays—and learn how to leverage nested structures for effective data modeling in Python.
Quiz about Supported data types
06 - Pratical Demonstration with Python10:55
Develop a practical Python project to manage student data stored in a JSON file using CRUD operations.

07 - CBOR Introduction3:59
Discover CBOR, the concise binary object representation designed for compactness and efficiency in data serialization, with history in RFC 7049 (2013) and features like flexibility and interoperability.
Quiz about CBOR Introduction
08 - Supported data types5:57
Explore the CBOR data types, including unsigned and negative integers, floating-point numbers, byte strings, text strings, arrays, maps, tags, and null.
09 - Pratical demonstration with Python9:38
Encode, decode, and manipulate CBOR data in Python using the cbor2 library. Learn to serialize and deserialize CBOR data to files, and work with nested structures.

10 - Differences in data representation5:02
Examine the data representation differences between CBOR and JSON, including strings (text and byte strings), numbers (integers and floating-point), booleans, null and undefined, arrays, maps, and tags.
11 - Support in different programming languages3:09
Explore how CBOR and JSON are supported across languages, with Python, Java, C#, and JavaScript libraries like cbor2, GSON, Json.NET, Jackson, and cbor-js.
Quiz about differences between CBOR and JSON

12 - Creating the project12:50
Set up a Flask-based Python API that handles JSON and CBOR data, with routes to get and post users in JSON and CBOR, forming a base for a future benchmark.
13 - Testing the project9:43
Test a Flask API using Postman to compare JSON and CBOR data formats, then set up and test JSON and CBOR routes, sending requests and verifying responses.
14 - Benchmark between JSON and CBOR12:09
Compare JSON and CBOR in a Python API by capturing traffic with Wireshark, measuring response times, and highlighting data size and performance differences for GET and POST routes.
15 - Final Conclusion1:53
Conclude a practical Python API project by comparing JSON and CBOR routes using Postman and Wireshark, showing CBOR delivers faster responses and smaller messages for efficient bandwidth.

Requirements

Python basics
API basics

Description

This course is designed for beginner programming students, especially those learning Python. The goal is to provide a comprehensive understanding of two important data formats: JSON and CBOR.

Key Topics Covered:

What is JSON:
- Definition and structure of JSON
- How and why JSON is widely used for data interchange
Why JSON is Used:
- Advantages and use cases of JSON
- Practical examples of applications that use JSON
What is CBOR:
- Definition and structure of CBOR
- Introduction to CBOR as an efficient binary format
Why Use CBOR:
- Advantages and benefits of CBOR compared to other data formats
- Examples of scenarios where CBOR is more suitable than JSON
Differences Between JSON and CBOR:
- Detailed comparison between the two formats
- Analysis of the advantages and disadvantages of each

Practical Project:

As part of the course, you will develop a Python API with routes that use both JSON and CBOR. Using Wireshark, we will perform practical comparisons between the two approaches, measuring response times and analyzing the efficiency of each format.

What You Will Learn:

How to structure and manipulate data in JSON and CBOR
Best practices for using these data formats in your applications
How to develop and test a Python API that supports multiple data formats
Tools and techniques for analyzing and optimizing data interchange performance

Why Take This Course:

This course will not only provide theoretical knowledge about JSON and CBOR but also offer valuable practical experience, preparing you to apply this knowledge to real-world projects. By the end of the course, you will have a clear understanding of the differences between JSON and CBOR and know how to choose the most suitable format for your needs.

Who this course is for:

Beginner python students
Students in programming languages

Python for High-Performance APIs

What you'll learn

Explore related topics

Course content

Getting Started3 lectures • 8min

JSON Structures3 lectures • 25min

CBOR Structures3 lectures • 20min

JSON vs CBOR2 lectures • 8min

Pratical Comparisson4 lectures • 37min

Requirements

Description

Who this course is for: