Udemy - Complete Guide to yaml with python - Configure your project!

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Udemy - Complete Guide to yaml with python - Configure your project! (Size: 847.3 MB)
  1. Additional Resources for Learning.html 4.8 KB
  1. Encrypting Sensitive Configuration Data.mp4 54 MB
  1. Introduction to PyYAML.mp4 19.4 MB
  1. Understanding YAML Syntax.mp4 29.9 MB
  1. Welcome and Course Overview.mp4 34.7 MB
  1. Why is Testing Important.mp4 40.1 MB
  2. Course Recap and Farewell.mp4 22 MB
  2. Encrypting Sensitive Configuration Data - article.html 5.5 KB
  2. Parsing YAML Files with Python.mp4 28.4 MB
  2. Unit Testing Your Configuration.mp4 32 MB
  2. Why YAML And its role in configuration.mp4 42.9 MB
  2. YAML Syntax.html 204.8 B
  3. Handling Configuration Changes and Versioning.mp4 48.1 MB
  3. Parsing YAML Files with Python - Code.mp4 41.4 MB
  3. Unit Testing Your Configuration - Code.mp4 37.2 MB
  3. Working with Scalars (Strings, Numbers, Booleans).mp4 25.7 MB
  3. YAML in the Python Ecosystem.mp4 46.5 MB
  3.1 config.yaml 204.8 B
  3.2 main.py 2.3 KB
  4. Handling Errors and Exceptions with PyYAML.mp4 30.7 MB
  4. Pre-requisites and Course Setup (Python, pip, pyyaml etc.).mp4 67.2 MB
  4. Sequences and Mappings in YAML.mp4 21.7 MB
  5. Advanced YAML Types Anchors, Aliases, and Tags.mp4 38.2 MB
  5. Handling Errors and Exceptions with PyYAML - code.mp4 52.6 MB
  5. Pre-requisites (Article).html 2.2 KB
  5.1 config.yaml 102.4 B
  5.2 main.py 1 KB
  6. Creating a Configuration Class in Python.mp4 134.6 MB
  6.1 config.yaml 204.8 B
  6.2 main.py 2 KB
  Bonus Resources.txt 409.6 B
  Get Bonus Downloads Here.url 204.8 B
  ▲ 34 total files

Description


Complete Guide to yaml with python - Configure your project!
https://DevCourseWeb.com

Published 6/2023
Created by ‪Idan Chen‬‏
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 23 Lectures ( 1h 24m ) | Size: 847 MB

Mastering YAML Configuration with Python: Unleash Your Project's Potential

What you'll learn
Understand YAML syntax, including scalar types, sequences, mappings, and indentation rules.
Use the PyYAML library to load, parse, and manipulate YAML files in Python.
Create YAML files programmatically, representing scalar values, lists, dictionaries, and nested structures.
Organize project configurations in YAML files and handle different environments.
Explore advanced YAML concepts such as tags, custom parsing, multiline strings, and including external files.
Handle YAML parsing errors and validate data structures using schemas.
Compare and choose between popular YAML libraries in Python.
Integrate YAML with Python frameworks like Django and Flask for configuration.
Serialize Python objects to YAML and deserialize YAML into Python objects.
Study real-world projects, learn best practices for structuring YAML files, and optimize YAML usage.

Requirements
Basic Programming Knowledge: Participants should have a basic understanding of programming concepts and be familiar with the Python programming language. Knowledge of variables, data types, functions, and control structures in Python is recommended.

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