• views: 95
• date: 20 December 2024
• posted by: AD-TEAM

You will learn the best practices of Python Microservices and learn how to build Python Microservices!

What you'll learn

Learn everything about Python Microservices

Learn how to build the Python Microservices

Learn python development, deployment, scaling, and management

Learn Python and best practices of Python microservices

Requirements

You need to be interested in learning Python Microservices

Description

Python Microservices are an architectural style that structures an application as a collection of loosely coupled services, each of which represents a specific business capability. In Python, microservices have gained popularity due to the language's simplicity, readability, and vast ecosystem of libraries. Each microservice operates independently and communicates with other services over a network, typically through HTTP or messaging protocols. Python has libraries such as Prometheus for monitoring and OpenTelemetry for tracing, which help developers track the health and performance of their services.Python microservices architecture, each service is developed, deployed, and maintained independently. This isolation allows teams to work on different services without worrying about breaking other parts of the system. The microservices paradigm contrasts with monolithic applications, where all functionality is built into a single, large codebase. One key advantage of microservices is scalability. Services can be scaled individually based on their specific load requirements rather than scaling the entire application, as is often necessary with monoliths. Flask and FastAPI are two popular lightweight web frameworks used to build RESTful APIs for microservices. Python's simplicity, wide library support, and ease of integration with modern cloud-native tools make it an excellent choice for building microservices architectures. Python supports several methods, including synchronous HTTP requests and asynchronous message queues like RabbitMQ and Kafka.

Overview

Section 1: Introduction

Lecture 1 Introduction

Lecture 2 Data Visualization and Chats in Python Microservices

Lecture 3 Methods in programming language

Lecture 4 Matplotlib in Python Microservices

Lecture 5 Pandas Dataframe in Python Microservices

Lecture 6 Python lists to Nampy in Python Microservices

Lecture 7 Operating on Nampy arrays in Python Microservices

Lecture 8 Retrieving data frim a data frame

This course is for those wanting to learn Python Microservices




   
   
   

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