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Learn Elasticsearch 8 with Python Client from scratch [2023, ENG]

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Learn Elasticsearch 8 with Python Client from scratch [2023, ENG] (Size: 2.2 GB)
  1. Introduction
  1. Introduction.mp4 21.61 MB
  2. Course Structure.mp4 26.62 MB
  10. Aggregations, Custom Mappings and Analyzers
  1. Indexing multiple documents to understand the concept of aggregations.mp4 47.84 MB
  2. Date histogram aggregations.mp4 39.83 MB
  3. Terms aggregations.mp4 31 MB
  4. Range aggregations.mp4 35.03 MB
  5. Metrics aggregations.mp4 24.15 MB
  6. Custom mappings.mp4 114.74 MB
  7. Custom Analyzers.mp4 82.3 MB
  8. Advanced Concepts of Elasticsearch.html 164 B
  11. Flask Application Api's with Elasticsearch
  1. Creating flask app and creating products index by using post api.mp4 71.72 MB
  2. Retrieving product by its id.mp4 57.69 MB
  3. Updating product by its id.mp4 29.41 MB
  4. Delete a product by its id.mp4 24.58 MB
  5. Creating api with custom query.mp4 55.38 MB
  12. Error Handling with Elasticsearch
  1. Error handling in Elasticsearch.mp4 50.92 MB
  13. Conclusion
  1. Conclusion.mp4 16.13 MB
  2. Setting up development environment
  1. Installing Elasticsearch 8 with Kibana.mp4 68.66 MB
  3. Understanding Basic Elasticsearch Concepts
  1. Introduction to Elasticsearch.mp4 58.11 MB
  2. Shards and Replicas in Elasticsearch.mp4 31.53 MB
  3. Index, Retrieve and Delete index.mp4 82.66 MB
  4. Query context in DSL.mp4 119.37 MB
  5. Filter context and fuzzy search.mp4 71 MB
  4. Advance Elasticsearch Concepts
  1. Aggregations in Elasticsearch.mp4 157.79 MB
  2. Custom mappings and settings.mp4 48.42 MB
  3. Dynamic Mappings.mp4 22.64 MB
  4. Built in and Custom analyzers.mp4 101.02 MB
  5. Elasticsearch Basics.html 164 B
  5. Getting Started with Elasticsearch Python Client
  1. Installing anaconda and PyCharm IDE.mp4 54.93 MB
  2. Install elasticsearchpy module.mp4 38.86 MB
  6. CRUD Operations and bulk method
  1. Index document into the Elasticsearch.mp4 40.87 MB
  2. Update document into the Elasticsearch.mp4 37.42 MB
  3. Deleting Document.mp4 18.1 MB
  4. Using bulk method to index multiple documents.mp4 39.06 MB
  5. Elasticsearch python client CRUD Operations.html 164 B
  7. Basic search Queries with Elasticsearch
  1. Search operations match_all and range query.mp4 24.34 MB
  2. combining searches and pagination and sorting.mp4 66.3 MB
  8. Advanced search
  1. exploring elasticsearch dsl.mp4 69.94 MB
  2. fuzzy and full text search.mp4 40.76 MB
  3. Working with dates and geo data.mp4 63.18 MB
  4. Optimizing search performance.mp4 47.45 MB
  5. Search in Elasticsearch.html 164 B
  9. Working with Elasticsearch inside Docker Container
  1. Installing Docker with Elasticsearch and Kibana.mp4 200.97 MB
  2. Connect python project to Elasticsearch 8 in docker container.mp4 19.67 MB

Description


Обучающие видео » Компьютерные видеоуроки и обучающие интерактивные DVD » Программирование (видеоуроки)

Learn Elasticsearch 8 with Python Client from scratch

Год выпуска: 2023
Производитель: Udemy
Сайт производителя: https://www.udemy.com/course/learn-elasticsearch-8-with-python-client-from-scratch/
Автор: Touseef Arif
Продолжительность: ~5h54m
Тип раздаваемого материала: Видеоурок
Язык: Английский
Описание: 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
[spoiler="Содержание"]
01:37
02:25
10:27
Introduction to Elasticsearch
08:15
Shards and Replicas in Elasticsearch
05:48
Index, Retrieve and Delete index
15:02
Query context in DSL
20:31
Filter context and fuzzy search
12:01
Aggregations in Elasticsearch
23:59
Custom mappings and settings
10:12
Dynamic Mappings
04:11
Built in and Custom analyzers
17:19
Elasticsearch Basics
5 вопросов
Installing anaconda and PyCharm IDE
10:25
Install elasticsearchpy module
06:15
Index document into the Elasticsearch
06:39
Update document into the Elasticsearch
05:36
Deleting Document
02:44
Using bulk method to index multiple documents
06:50
Elasticsearch python client CRUD Operations
5 вопросов
Search operations match_all and range query
05:02
combining searches and pagination and sorting
11:05
exploring elasticsearch dsl
10:43
fuzzy and full text search
07:30
Working with dates and geo data
10:53
Optimizing search performance
07:51
Search in Elasticsearch
5 вопросов
Installing Docker with Elasticsearch and Kibana
22:50
Connect python project to Elasticsearch 8 in docker container
03:28
Indexing multiple documents to understand the concept of aggregations
07:18
Date histogram aggregations
06:09
Terms aggregations
04:59
Range aggregations
05:40
Metrics aggregations
04:21
Custom mappings
19:12
Custom Analyzers
14:36
Advanced Concepts of Elasticsearch
5 вопросов
Creating flask app and creating products index by using post api
11:02
Retrieving product by its id
07:59
Updating product by its id
03:59
Delete a product by its id
03:25
Creating api with custom query
07:17
Error handling in Elasticsearch
08:02
Conclusion
01:07
[/spoiler]
Файлы примеров: не предусмотрены
Формат видео: MP4
Видео: AVC, 1280x720, 16:9, 30fps, ~800kbps
Аудио: AAC, 44.1kHz, 128kbps, stereo
[spoiler="Скриншоты"]

[/spoiler]

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