Free Download Udemy – The Complete Course For Python Microservices

Published: 12/2024
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 698.61 MB | Duration: 0h 51m
You will master all Python Microservices with examples and learn Best Practices in Python Microservices!

What you’ll learn

Learn all Python Microservices in this course
Learn Key Features of Python for Microservices
Learn Advantages of Microservices in Python
Learn the best practices in Python Microservices and how to build them from basics

Requirements

You need to be interested in learning Python Microservices

Description

You will learn everything about Python Microservices in this course. Python Microservices architecture is a software design approach where an application is built as a collection of small, loosely coupled services. Each service operates independently, focusing on a specific functionality, and communicates with other services using lightweight protocols like HTTP/REST, gRPC, or message queues. Python, known for its simplicity and versatility, is widely adopted for implementing microservices due to its rich ecosystem and robust libraries.Python’s suitability for microservices is attributed to frameworks such as Flask, FastAPI, and Django Rest Framework (DRF). Flask and FastAPI are lightweight and enable developers to create highly performant APIs with minimal overhead. FastAPI, in particular, leverages Python’s type hints for validation and auto-generates interactive documentation, making it a favorite for modern microservices. Microservices also require robust monitoring and debugging mechanisms. Python supports integrations with tools like Prometheus, Grafana, and ELK Stack for logging, monitoring, and visualization. These tools help track the health and performance of individual services.Python’s simplicity, rich libraries, and strong community support make it a compelling choice for developing microservices. By leveraging its ecosystem and best practices, developers can build scalable, maintainable, and efficient systems tailored to meet the needs of modern applications.

Overview

Section 1: Introduction
Lecture 1 Introduction
Section 2: Loops in Python Microservices
Lecture 2 Loops to retrieve the data
Lecture 3 Operating on Nampy arrays in Python Microservices
Section 3: Iterations with loops in Python Microservices
Lecture 4 Working with CSV data files
Section 4: Pandas Data frame in Python Microservices
Lecture 5 Pandas Dataframe in Python Microservices
Lecture 6 Multi Dimentional Nampy arrays
Lecture 7 Retrieving data from a data frame in Python Microservices
This course is for those wanting to learn Python Microservices

Homepage:

https://www.udemy.com/course/the-complete-course-for-python-microservices/