Learn Elasticsearch 8 with Python Client from scratch

A comprehensive and practical guide to master the fundamentals and advanced features of Elasticsearch 8 and Python 3

What you'll learn
How to install and configure Elasticsearch 8 with Kibana, a web interface for visualizing and managing your data
How to understand the core concepts and features of Elasticsearch, such as shards, replicas, indices, documents, mappings, analyzers, queries, filters, and aggr
How to perform various operations on your data, such as indexing, retrieving, updating, deleting, searching, sorting, and aggregating
How to use the elasticsearch-py module, the official Python client for Elasticsearch, to connect to and interact with your Elasticsearch cluster
How to use the elasticsearch-dsl module, a high-level library that simplifies working with Elasticsearch in Python
How to perform fuzzy and full-text search, as well as search with dates and geo data
How to optimize your search performance by using caching, pagination, and other techniques
How to install and use Docker, a tool that allows you to run applications in isolated containers, to run Elasticsearch and Kibana in a virtual environment
How to build a Flask web application that uses Elasticsearch as the backend to store and search products
How to handle errors and exceptions in Elasticsearch and Python
How to learn best practices and tips for working with Elasticsearch and Python


Requirements
A basic understanding of Python programming, such as variables, data types, functions, loops
A computer with an internet connection and a web browser
A willingness to learn and explore new technologies and concepts
Description
Hello, I am a software architect with 10 years of experience in software development. I have created a course for you to learn Elasticsearch 8 with Python client from scratch. This course will teach you how to use Elasticsearch, a powerful and scalable search engine, to store, search, and analyze large amounts of data. You will also learn how to use Python, a popular and versatile programming language, to interact with Elasticsearch and build a web application API's using Flask, a lightweight and easy-to-use web framework.
This course is designed for beginners who want to learn the basics of Elasticsearch and Python, as well as intermediate and advanced users who want to deepen their knowledge and skills. The course is divided into 40 lectures, each covering a specific topic and providing practical examples and exercises. By the end of this course, you will be able to:
Install and configure Elasticsearch 8 with Kibana, a web interface for visualizing and managing your data
Understand the core concepts and features of Elasticsearch, such as shards, replicas, indices, documents, mappings, analyzers, queries, filters, and aggregations
Perform various operations on your data, such as indexing, retrieving, updating, deleting, searching, sorting, and aggregating
Use the elasticsearch-py module, the official Python client for Elasticsearch, to connect to and interact with your Elasticsearch cluster
Use the elasticsearch-dsl module, a high-level library that simplifies working with Elasticsearch in Python
Perform fuzzy and full-text search, as well as search with dates and geo data
Optimize your search performance by using scroll api's, pagination, and other techniques
Install and use Docker, a tool that allows you to run applications in isolated containers, to run Elasticsearch and Kibana in a virtual environment
Build a Flask web application that uses Elasticsearch as the backend to store and search products
Handle errors and exceptions in Elasticsearch and Python
Learn best practices and tips for working with Elasticsearch and Python
This course is based on the latest version of Elasticsearch (8.x) and Python (3.x). You will need a computer with an internet connection and a web browser to access the course materials and the Elasticsearch and Kibana web interfaces. You will also need to install Anaconda, a distribution of Python that includes many useful packages and tools, and PyCharm, an integrated development environment (IDE) that makes coding easier and more enjoyable. The course will guide you through the installation and setup process of these tools.
If you are interested in learning Elasticsearch 8 with Python client from scratch, then this course is for you. You will gain valuable knowledge and skills that will help you in your personal and professional projects. You will also have fun and enjoy the learning process. So, what are you waiting for? Enroll now and start your journey with Elasticsearch and Python!
Who this course is for:
Data analysts and scientists who want to explore and visualize their data using Elasticsearch and Kibana
Web developers who want to build fast and scalable web applications using Elasticsearch and Flask
Software engineers who want to learn how to design and implement efficient and reliable search systems using Elasticsearch and Python
Hobbyists and enthusiasts who want to learn new and exciting technologies and concepts


More Info