Learn Elasticsearch 8 with Python Client from scratch

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Touseef Arif

5:54:44

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1. Introduction

1. Introduction.mp4

01:37

2. Course Structure.mp4

02:25

2. Setting up development environment

1. Installing Elasticsearch 8 with Kibana.mp4

10:27

3. Understanding Basic Elasticsearch Concepts

1. Introduction to Elasticsearch.mp4

08:15

2. Shards and Replicas in Elasticsearch.mp4

05:48

3. Index, Retrieve and Delete index.mp4

15:02

4. Query context in DSL.mp4

20:31

5. Filter context and fuzzy search.mp4

12:01

4. Advance Elasticsearch Concepts

1. Aggregations in Elasticsearch.mp4

23:59

2. Custom mappings and settings.mp4

10:12

3. Dynamic Mappings.mp4

04:11

4. Built in and Custom analyzers.mp4

17:19

5. Elasticsearch Basics.html

5. Getting Started with Elasticsearch Python Client

1. Installing anaconda and PyCharm IDE.mp4

10:25

2. Install elasticsearchpy module.mp4

06:15

6. CRUD Operations and bulk method

1. Index document into the Elasticsearch.mp4

06:39

2. Update document into the Elasticsearch.mp4

05:36

3. Deleting Document.mp4

02:44

4. Using bulk method to index multiple documents.mp4

06:50

5. Elasticsearch python client CRUD Operations.html

7. Basic search Queries with Elasticsearch

1. Search operations match all and range query.mp4

05:02

2. combining searches and pagination and sorting.mp4

11:05

8. Advanced search

1. exploring elasticsearch dsl.mp4

10:43

2. fuzzy and full text search.mp4

07:30

3. Working with dates and geo data.mp4

10:53

4. Optimizing search performance.mp4

07:51

5. Search in Elasticsearch.html

9. Working with Elasticsearch inside Docker Container

1. Installing Docker with Elasticsearch and Kibana.mp4

22:50

2. Connect python project to Elasticsearch 8 in docker container.mp4

03:28

10. Aggregations, Custom Mappings and Analyzers

1. Indexing multiple documents to understand the concept of aggregations.mp4

07:18

2. Date histogram aggregations.mp4

06:09

3. Terms aggregations.mp4

04:59

4. Range aggregations.mp4

05:40

5. Metrics aggregations.mp4

04:21

6. Custom mappings.mp4

19:12

7. Custom Analyzers.mp4

14:36

8. Advanced Concepts of Elasticsearch.html

11. Flask Application Apis with Elasticsearch

1. Creating flask app and creating products index by using post api.mp4

11:02

2. Retrieving product by its id.mp4

07:59

3. Updating product by its id.mp4

03:59

4. Delete a product by its id.mp4

03:25

5. Creating api with custom query.mp4

07:17

12. Error Handling with Elasticsearch

1. Error handling in Elasticsearch.mp4

08:02

13. Conclusion

1. Conclusion.mp4

01:07

Description

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

Who is this 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

What You Need to Know?

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

More details

Description
Hello,Â 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

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Hello! I'm Engineer Touseef, an experienced software engineer specializing in Python, Java, and Spring Boot and JavaScript. With 10 years of expertise in software development, I'm excited to share my knowledge with you.My skills include Java SE, SWING, J2EE, JSPs, Servlets, EJBs, JSF, JPA, Hibernate, and Spring Boot, Python, JavaScript. I have hands-on experience in developing Backend APIs and services, working with databases like SQL Server, MySQL, PostgreSQL, and Oracle 19c.As an instructor, I prioritize staying up-to-date with emerging technologies such as React to provide you with comprehensive insights. I have a track record of resolving complex software issues and translating requirements into efficient software designs and code.Join my course on Elasticsearch 8 with Java 20 and Spring Boot 3.1.0 to gain practical skills and a deep understanding of building powerful search applications.Enroll now and unlock your potential in Elasticsearch and Java development!

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