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|File Name:||Learn Elasticsearch 8 with Python Client from scratch|
|Genre / Category:||Programming|
|File Size :||2.2GB|
|Updated and Published:||November 07, 2023|
A comprehensive and practical guide to master the fundamentals and advanced features of Elasticsearch 8 and Python 3
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!
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