Name: Stop using Print statements! Proper Python logging with loguru
Price: 27060 KRW

Stop using Print statements! Proper Python logging with loguru

Stop using print()! Learn easy and powerful logging with Python's loguru library. From basic concepts to file management, FastAPI web app integration and Slack notifications, we'll teach you step by step with hands-on practice.

What you will learn!

How to quickly and easily create logs by mastering the core features of the loguru library
Practical techniques for automatically managing log files (rotation, retention, compression)
Know-how for Building Production-Level Logging Systems in FastAPI Web Applications
How to implement a system that integrates with Slack to receive real-time error notifications
Techniques for effectively analyzing log data by generating structured logs in JSON format

🙋‍♂️ Course Introduction

Everyone, are you still only using print() when debugging? 😱 As code gets more complex, I'm sure you've all experienced the pain of print() statements cluttering up your terminal in a jumbled mess at least once.

This course is an introductory course on 'Python Enjoyable Logging (python-logging)' designed specifically for those people! No more complex and headache-inducing configurations! 🙅‍♀️ Let's learn together the world's easiest Python logging library, loguru, which starts with just a single line of code.

It doesn't just end with simply printing logs. 🚀 Starting from beautifully coloring your terminal, we'll guide you step by step through a hands-on approach that covers smart log file management, and ultimately building a professional-level logging system for real web applications (FastAPI) and even sending real-time error notifications.

Are you ready to end the era of print() and upgrade your development skills to the next level? ✨

Master Loguru Core Features👑logger.add() With just one function, learn the magical features of loguru that save logs to files, change them to your desired format, and automatically manage old files (rotation, retention, compression). No more staying up all night worrying about log file management!
Elegant Exception Handling and Debugging 🛠️No more code cluttered with try-except! With just one line of the @logger.catch decorator, automatically catch errors and use the diagnose=True option to instantly identify which variables caused the problem - we'll share these powerful debugging secrets with you. (Security warnings are essential! 😉)
FastAPI Hands-on Project: Building Your Own Logging System 🏗️ Let's mobilize all the knowledge you've learned so far to build a production-level logging system for FastAPI web applications. You can develop real-world skills by separating configurations for development and production environments and creating middleware that automatically tracks all requests and responses.
External Service Integration: Receive Real-time Error Notifications via Slack 🔔 What if a critical error occurs in your service? You need to know immediately, even while sleeping! Let's implement an automated system that integrates loguru with Slack to send real-time error notifications to designated channels. Now you can sleep soundly! 😴

💡 Course Features

🎬 Hands-on Curriculum: This isn't just a theoretical lecture you watch with your eyes. In each chapter, you'll directly follow along with the code and naturally master all the features of loguru.
📈 From Complete Beginners to Intermediate Level: We start with easy concept explanations so anyone who knows basic Python syntax can follow along. However, the final result is a production-level logging system that can be directly applied in real work environments.
🤖 Practical Final Project: Just learning how to use libraries and that's it? No way! We'll apply loguru to the hottest web framework FastAPI and build our own web application logging system from start to finish.
🎉 Complete 'Trial and Error' Prevention Package: From development environment setup to final deployment scenarios! We meticulously cover everything from A to Z to prevent all the trial and error that students might experience in advance.

After taking the course

Mypy, black, pytest. You can maintain code quality using CI.
I'll show you how to effectively perform spatial searches using MongoDB and its built-in Google S2. Spatial search will no longer be intimidating.
You can't call it production ready without load testing. How do you perform simple load testing? You'll also learn how to prove that performance has improved.
Database != RDBMS. You can build real applications using MongoDB.
You'll be able to use unit testing and CI as naturally as breathing.

💡Please write detailed reference information needed for learning the course.
This helps students fully understand the content covered in the course and increases learning satisfaction.

Practice Environment
- Operating System and Version (OS): OS types and versions such as Windows, macOS, Linux, Ubuntu, Android, iOS, etc.
- Tools Used: Software/hardware versions and billing plans required for practice, whether virtual machines are used, etc.
- PC specifications: CPU, memory, disk, graphics card, and other recommended specifications for running the program
Learning Materials
- Types of learning materials provided (PPT, cloud links, text, source code, assets, programs, example problems, etc.)
- Volume and capacity, characteristics and precautions regarding other learning materials, etc.
Prerequisites and Important Notes
- Whether essential prerequisite knowledge is considered based on learning difficulty
- Content directly related to taking the course, such as lecture video quality (audio/video quality), and recommended learning methods
- Questions/Answers and Future Update Related Content
- Notice Regarding Copyright of Lectures and Learning Materials

Recommended for
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Who is this course right for?

Python beginners who feel limited by debugging with only the print() function
Junior developer who wants to build a systematic logging system
Those who want to learn practical logging methods while developing web applications with FastAPI
Data engineers who want to efficiently manage and analyze log data
All Python developers who found the existing logging module complex and difficult

Need to know before starting?

Understanding Python Basic Syntax

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Curriculum

All

19 lectures ∙ (3hr 34min)

Section 1. Lecture Foundation and Development Environment Setup!

2 lectures ∙ (23min)

1. Orientation - Why Should We Move Beyond print()? 🚀
12:15
2. 2강: Setting Up the Perfect Development Environment to Get Started 🛠️
11:40

Section 2. Master the Core Features of Loguru!

8 lectures ∙ (1hr 31min)

3. 3강: Hello print(), Nice to meet you logger! (My First Loguru Message) 👋
11:43
4. 4. Understanding and Utilizing Log Levels 🚦
13:27
5. Lesson 5: add() Method and Sink: Writing Logs to Files 💾
11:30
6. 6강: My Own Style! Log Format Customization 🎨
10:59
7. 7. Smart Log File Management - Automatic Rotation 🔄
10:42
8. 8. Clean Finish - Retention & Compression 🧹
10:26
9. 9강: Elegant Exception Handling - @logger.catch Decorator 🛡️
12:31
10. 10강: Dynamic Data Logging and Context Addition 🏷️
10:36

Section 3. Building Practical Loguru Skills!

5 lectures ∙ (52min)

11. 11강: Machine-Readable Logs - JSON Structured Logging 🤖
10:41
12. 12. Powerful Debugging - backtrace and diagnose 🔍
09:56
13. 13강: Hands-on! FastAPI Web Application Logging (Basic Edition) 🚀
10:03
14. 14. Automated Request/Response Logging Using Middleware 🚪
10:34
15. 15강: Final Check - Completing Production Logging Configuration 🔧
11:02

Section 4. Complete Mastery of Loguru

4 lectures ∙ (46min)

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Stop using Print statements! Proper Python logging with loguru

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