Python

How To Use Logging in Python 3 — step-by-step Python tutorial on Progressive Robot

How To Use Logging in Python 3

The logging module is part of the standard Python library and provides tracking for events that occur while software runs. You can add logging calls to your code to indicate what events have happened. In this tutorial, we will go over how to work with logging calls to understand the various events that occur from running your program over time.

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How To Use the Python Debugger — step-by-step Python tutorial on Progressive Robot

How To Use the Python Debugger

In software development, debugging is the process of looking for and resolving issues that prevent computer software from running correctly. The Python debugger pdb provides a debugging environment for Python programs. In this tutorial, we will go over how to work with pdb to implement an interactive debugging environment that you can use with any of your programs written in Python.

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How To Format Text in Python 3 — step-by-step Python tutorial on Progressive Robot

How To Format Text in Python 3

In this tutorial, we’ll go over some of the ways we can work with Python strings to make sure that all output text is formatted correctly. Topics we will cover include: quotes, apostrophes, multiple lines, escape characters, and raw strings.

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Playwright vs Selenium: Overview and Key Differences

Playwright vs Selenium: 10 Key Differences and the Ultimate Guide to Test Automation

Playwright vs Selenium has become one of the most common comparisons in modern software testing. Automated browser testing is no longer optional for teams developing complex applications; it is a necessity. With frequent updates, rapid feature releases, and the need to maintain a seamless user experience, robust test automation frameworks ensure both speed and reliability. For nearly two decades, Selenium has been the gold standard in this space, trusted by enterprises, startups, and independent developers alike. However, the landscape is evolving. Microsoft’s Playwright, launched in 2020, has quickly gained attention as a modern alternative designed with current development practices in mind.

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How to Install PyTorch on Windows, Mac, and Linux

How to Install PyTorch on Windows, Mac, and Linux

PyTorch, a powerful open-source machine learning library, has gained popularity for its flexibility, efficiency, and ease of use in developing deep learning models. Installing PyTorch on various operating systems such as Windows, Mac, and Linux is essential for leveraging its capabilities in research, academia, and industry applications.

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Testing Your TurboGears Application: Best Practices

Testing Your TurboGears Application: Best Practices

Testing your TurboGears application is a crucial aspect of development that ensures the reliability, functionality, and performance of your software. By following best practices in testing, you can identify and address issues early in the development process, resulting in a more robust and stable application.

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Using Templates and Jinja2 in Flask

Using Templates and Jinja2 in Flask

Utilizing Templates and Jinja2 in Flask is a fundamental aspect of web development with Flask framework. Flask, a lightweight and versatile Python web framework, integrates seamlessly with Jinja2, a powerful templating engine. This article provides a comprehensive guide on how to effectively leverage templates and Jinja2 in Flask applications.

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Django Debug Toolbar: Analyze your App Performance Stats

Django Debug Toolbar: Analyze your App Performance Stats

Django Debug Toolbar is a powerful tool that provides developers with valuable insights into the performance of their Django applications. By integrating this tool into your development environment, you can easily monitor various metrics such as SQL queries, cache usage, and template rendering times.

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Using GPU Acceleration for Faster Training in PyTorch

Using GPU Acceleration for Faster Training in PyTorch

Harnessing the power of GPU acceleration has revolutionized the field of deep learning, enabling faster and more efficient model training processes. In the realm of PyTorch, a popular deep learning framework, leveraging GPUs can significantly enhance the speed and performance of training neural networks.

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