| File Name: | ElasticSearch With Python: Hands-On Guide with Real Projects |
| Content Source: | https://www.udemy.com/course/elasticsearch-with-python-hands-on-guide-with-real-projects/ |
| Genre / Category: | Programming |
| File Size : | 3.4 GB |
| Publisher: | EduVerse Academy |
| Updated and Published: | January 27, 2026 |
In today’s data-driven world, search is no longer limited to simple keyword matching. Modern applications require fast, scalable, intelligent, and highly relevant search experiences. ElasticSearch has become the backbone of such systems, powering search engines, analytics platforms, recommendation systems, log monitoring tools, and AI-driven retrieval pipelines.
This course, ElasticSearch with Python, is a comprehensive and in-depth learning program designed to take you from the absolute fundamentals of ElasticSearch to advanced, production-ready search systems using the Python client. Whether you are a backend developer, data engineer, or AI practitioner, this course provides a complete and structured learning path that focuses on real-world usage rather than isolated theory.
Strong foundations with practical implementation
The course begins with a clear introduction to ElasticSearch and its role in modern software systems. You will learn how to install and run ElasticSearch locally, ensuring you understand the environment before moving forward.
From there, the course builds strong fundamentals by covering core concepts such as:
- Creating indices
- Understanding documents and mappings
- Defining and using field data types
- Inserting, retrieving, updating, counting, and deleting documents
- Working with APIs like exists, get, update, and bulk operations
Each concept is demonstrated using Python, ensuring you gain hands-on experience from the very beginning.
Deep understanding of search internals
Search is the heart of ElasticSearch, and this course dedicates multiple lessons to mastering the Search API in depth. You will explore searching from basic queries to advanced scenarios, understanding how ElasticSearch retrieves, ranks, and returns results.
You will learn:
- Multi-stage search queries
- Filters and query optimization
- Deep pagination techniques, including search_after versus from/size
- Result collapsing for cleaner and more relevant output
DOWNLOAD LINK: ElasticSearch With Python: Hands-On Guide with Real Projects
ElasticSearch_With_Python_Hands-On_Guide_with_Real_Projects.part1.rar – 1000.0 MB
ElasticSearch_With_Python_Hands-On_Guide_with_Real_Projects.part2.rar – 1000.0 MB
ElasticSearch_With_Python_Hands-On_Guide_with_Real_Projects.part3.rar – 1000.0 MB
ElasticSearch_With_Python_Hands-On_Guide_with_Real_Projects.part4.rar – 475.4 MB
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