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

Created by: Touseef Arif
Software Architect | Java | Python | JavaScript

What Will I 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

Target audience

• 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