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Mastering Python Logging and Loguru: Complete Guide

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Mastering Python Logging and Loguru: Complete Guide, available at $54.99, has an average rating of 4.93, with 35 lectures, 10 quizzes, based on 7 reviews, and has 59 subscribers.

You will learn about Understand the fundamentals of logging in Python and why it's crucial for software development. The significance of logging in software development Configuring Python's built-in logging module for various use cases Advanced logging techniques, including custom handlers and filters Introduction and setup of Loguru for simplified logging Comparing Python's logging module with Loguru for different scenarios Best practices for log message formatting and file management Real-world logging strategies for application monitoring and debugging Implementing logging in multi-threaded environments Integrating logging with application performance and error monitoring tools Structuring loggers in large projects for clarity and maintainability This course is ideal for individuals who are Intermediate Python Developers: Those who have a grasp of Python basics and wish to deepen their understanding of application diagnostics, debugging, and monitoring. or Software Engineers: Professionals looking to improve their ability to troubleshoot, monitor, and maintain Python applications effectively. or Data Scientists and Analysts: Individuals in data-centric roles seeking to implement logging for better data processing and analysis workflow management. or DevOps Engineers: Those who are involved in the deployment and management of Python applications and want to enhance application observability and operational intelligence. or Web Developers: Python web developers looking to integrate robust logging mechanisms into their web applications for enhanced error tracking and performance monitoring. or Students and Lifelong Learners: Anyone interested in software development practices, keen on learning a critical aspect of software maintenance and quality assurance. or Technical Team Leads and Managers: Leaders who want to understand the intricacies of logging to oversee and improve the development and maintenance processes within their teams. It is particularly useful for Intermediate Python Developers: Those who have a grasp of Python basics and wish to deepen their understanding of application diagnostics, debugging, and monitoring. or Software Engineers: Professionals looking to improve their ability to troubleshoot, monitor, and maintain Python applications effectively. or Data Scientists and Analysts: Individuals in data-centric roles seeking to implement logging for better data processing and analysis workflow management. or DevOps Engineers: Those who are involved in the deployment and management of Python applications and want to enhance application observability and operational intelligence. or Web Developers: Python web developers looking to integrate robust logging mechanisms into their web applications for enhanced error tracking and performance monitoring. or Students and Lifelong Learners: Anyone interested in software development practices, keen on learning a critical aspect of software maintenance and quality assurance. or Technical Team Leads and Managers: Leaders who want to understand the intricacies of logging to oversee and improve the development and maintenance processes within their teams.

Enroll now: Mastering Python Logging and Loguru: Complete Guide

Summary

Title: Mastering Python Logging and Loguru: Complete Guide

Price: $54.99

Average Rating: 4.93

Number of Lectures: 35

Number of Quizzes: 10

Number of Published Lectures: 35

Number of Published Quizzes: 10

Number of Curriculum Items: 45

Number of Published Curriculum Objects: 45

Original Price: $24.99

Quality Status: approved

Status: Live

What You Will Learn

  • Understand the fundamentals of logging in Python and why it's crucial for software development.
  • The significance of logging in software development
  • Configuring Python's built-in logging module for various use cases
  • Advanced logging techniques, including custom handlers and filters
  • Introduction and setup of Loguru for simplified logging
  • Comparing Python's logging module with Loguru for different scenarios
  • Best practices for log message formatting and file management
  • Real-world logging strategies for application monitoring and debugging
  • Implementing logging in multi-threaded environments
  • Integrating logging with application performance and error monitoring tools
  • Structuring loggers in large projects for clarity and maintainability

Who Should Attend

  • Intermediate Python Developers: Those who have a grasp of Python basics and wish to deepen their understanding of application diagnostics, debugging, and monitoring.
  • Software Engineers: Professionals looking to improve their ability to troubleshoot, monitor, and maintain Python applications effectively.
  • Data Scientists and Analysts: Individuals in data-centric roles seeking to implement logging for better data processing and analysis workflow management.
  • DevOps Engineers: Those who are involved in the deployment and management of Python applications and want to enhance application observability and operational intelligence.
  • Web Developers: Python web developers looking to integrate robust logging mechanisms into their web applications for enhanced error tracking and performance monitoring.
  • Students and Lifelong Learners: Anyone interested in software development practices, keen on learning a critical aspect of software maintenance and quality assurance.
  • Technical Team Leads and Managers: Leaders who want to understand the intricacies of logging to oversee and improve the development and maintenance processes within their teams.

Target Audiences

  • Intermediate Python Developers: Those who have a grasp of Python basics and wish to deepen their understanding of application diagnostics, debugging, and monitoring.
  • Software Engineers: Professionals looking to improve their ability to troubleshoot, monitor, and maintain Python applications effectively.
  • Data Scientists and Analysts: Individuals in data-centric roles seeking to implement logging for better data processing and analysis workflow management.
  • DevOps Engineers: Those who are involved in the deployment and management of Python applications and want to enhance application observability and operational intelligence.
  • Web Developers: Python web developers looking to integrate robust logging mechanisms into their web applications for enhanced error tracking and performance monitoring.
  • Students and Lifelong Learners: Anyone interested in software development practices, keen on learning a critical aspect of software maintenance and quality assurance.
  • Technical Team Leads and Managers: Leaders who want to understand the intricacies of logging to oversee and improve the development and maintenance processes within their teams.

“Mastering Logging in Python with Built-in Modules and Loguru” is a specialized course designed for developers aiming to enhance their Python applications through effective logging strategies. By delving into both Python’s built-in logging module and the Loguru library, students will learn how to implement sophisticated logging mechanisms that can significantly improve application debugging, monitoring, and maintenance.

What Students Will Learn:

  • The fundamentals of logging  in Python and its importance in software development.

  • How to configure and utilize Python’s logging module across different scenarios and applications.

  • Comparing Python’s logging module with Loguru for different scenarios

  • Techniques for formatting log messages to ensure they are informative and actionable.

  • Best practices for log message formatting and file management

  • Strategies for log file management, including rotation and retention policies.

  • Best practices for integrating logging into Python applications, ensuring they are robust and easier to maintain.

Why You Need This Course:

Logging is an essential aspect of software development, offering insights into the behavior of applications and aiding in the quick identification of errors and performance bottlenecks. Through this course, you’ll:

  • Gain a deep understanding of how to leverage logging to debug and monitor Python applications effectively.

  • Learn to configure logging for various complexity levels, from basic scripts to large-scale applications.

  • Enhance your ability to maintain and improve the quality of software, making your applications more reliable and user-friendly.

  • Become proficient in using logging as a proactive tool for performance optimization and error prevention.

Who Is This Course For:

  • Intermediate Python developers looking to deepen their debugging and application monitoring skills.

  • Software engineers and web developers seeking to implement advanced logging strategies in their projects.

  • Data scientists and analysts requiring logging to better manage and understand their data processing workflows.

  • DevOps professionals interested in leveraging logs for improved application deployment and management.

  • Technical team leads and managers aiming to standardize logging practices within their teams.

This course is tailor-made for anyone passionate about software development and committed to learning the intricacies of Python logging. Whether you’re looking to solve complex debugging challenges or simply improve the quality and reliability of your applications, “Mastering Python Logging and Loguru: Complete Guide”    provides the knowledge and hands-on experience you need to succeed.


Idan Chen

Course Curriculum

Chapter 1: Introduction to Logging in Python

Lecture 1: course overview

Lecture 2: Importance of Logging

Lecture 3: Overview of Python Logging & Introduction to Loguru

Lecture 4: Understanding Log Levels

Chapter 2: Getting Started with Python

Lecture 1: Installing Python 3 on your computer

Lecture 2: Creating virtual environment (VENV)

Lecture 3: How to Install Python 3 and Use Virtual Environments (venv) on Windows- Article

Lecture 4: How to Install Python 3 and Use Virtual Environments (venv) on linux- Article

Lecture 5: How to Install Python 3 and Use Virtual Environments (venv) on Mac- Article

Lecture 6: Installing Pycharm – Article

Chapter 3: Python Programming Foundations

Lecture 1: Functions in Python: Definition and Usage

Lecture 2: Modules and Packages: Organizing Code

Lecture 3: Understanding Python Classes and Objects

Chapter 4: Python's Built-in Logging Module – Detailed

Lecture 1: Setting Up Basic Logging

Lecture 2: Deep Dive: Log Levels and Handlers

Lecture 3: Formatting Logs for Better Readability

Lecture 4: Using Filters and Custom Handlers

Lecture 5: Structuring Loggers in a Project

Lecture 6: Logging in Multithreaded Applications

Lecture 7: Handling Exceptions and Stack Trace

Chapter 5: Advanced Logging with Loguru

Lecture 1: Easy Logging Setup with Loguru

Lecture 2: Configurations and Customization

Lecture 3: Exception Handling and Stack Traces with Loguru

Lecture 4: Serialization and File Management

Lecture 5: Comparing Loguru and Python's Logging (including Asynchronous with loguru)

Chapter 6: Real-world Applications and Best Practices

Lecture 1: working with yaml files as configuration – Article

Lecture 2: Building Configuration Class for easy logging and loguru configuration

Lecture 3: Creating logging class from scratch

Lecture 4: Creating loguru class from scratch

Lecture 5: Introduction to FastAPI with Python – Article

Lecture 6: loguru in Web Applications

Lecture 7: Logging in Scripting and Automation using requests

Lecture 8: Prometheus Introduction – Article

Lecture 9: Integrating Logging with Monitoring Tools using prometheus_client

Chapter 7: Course Conclusion

Lecture 1: Course Recap and Next Steps

Instructors

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  • 5 stars: 6 votes

Frequently Asked Questions


How long do I have access to the course materials?


You can view and review the lecture materials indefinitely, like an on-demand channel.


Can I take my courses with me wherever I go?


Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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