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Get Started with Python Error Reporting

Python is one of the most industry-oriented languages. It has versatile usability and features that are great for all types of tech teams. You can make both frontend websites and backend APIs with Python. According to a report by Statista, around 48.24% of the developers worldwide use Python as one of their programming languages. Python is a backend technology in most cases, so monitoring the application is very important. The backend is the backbone of the application.

Automating deployment of a Dockerized Python app to Docker Hub

CI/CD systems follow a multi-tiered environments pattern: development, testing, staging, and production release are all part of this process. Each setting in this cycle could have a variety of set ups and configurations. As a result, having to set up separate configurations for different environments could be inconvenient and burdensome. In this tutorial, we will take a look at what Docker is and how it has freed developers from set-up problems and port clashes.

Top 8 VScode Python Extensions

Visual Studio Code (VScode) is an open-source and cross-platform source-code editor. It was ranked the most popular development tool in the Stack Overflow 2021 Developer Survey, with 70% of the respondents using it as their primary editor. VScode allows you to use a few programming languages like JavaScript and TypeScript. Still, you need an extension if you want to use any other programming language and include extra functionalities to improve your code.

Data structures for effective Python applications

Because computers rely on data to execute instructions, computing will always entail data interaction. The amount of data can be overwhelming in real world applications, so developers must consistently devise methods to access it quickly and efficiently in a programmatic way. A solid understanding of data structures is a great advantage for teams that specialize in developing tools and systems. Organizing data optimally maximizes efficiency and makes data processing easy and seamless.

How to debug python in VSCode

Python has become one of the most popular programming languages globally and is particularly popular in data science and artificial intelligence. Python’s popularity can be attributed to its ease of use and readability and the large ecosystem of libraries and frameworks built around it. Python is also popular among developers working on cloud-based applications, as they can use it to orchestrate complex workflows.

Monitoring Performance and Errors in a Django Application with Sentry

Sentry is a monitoring platform that allows developers to track errors and performance data. In this tutorial, we’ll show you how to add Sentry to a Django application so that you can track and resolve any errors or performance issues that occur while your application is in production.

New and improved Python error grouping

Raygun has a long history of continually improving the quality and capability of our Crash reporting grouping logic. Across thousands of customers, it’s essential to help teams quickly discern where to allocate their resources to fix bugs, resolve performance issues, and create better experiences for customers. Today, we’re pleased to launch a new and improved grouping system for Python.

Blackfire's unique Way of Delivering Python binaries

We may not always know what is happening behind the scenes when we add a dependency to our projects. We expect this process to “just work” to carry on building applications. Little we may know about the level of commitment from maintainers and the amount of work needed to have everyone seamlessly use a library. Let’s hop in backstage to discover the unique way Blackfire releases its Python binaries.

Java vs Python

Computer science is crucial to our lives today, and programming languages play a fundamental role. These languages act as a programmer’s toolbox. However, choosing a language can be challenging, especially when deciding between the two most popular options. These options include Java and Python. Java and Python are widely used as general-purpose programming languages for desktop and web applications. There are many similarities when comparing the two, but there are also significant differences.