Get started with distributed tracing and Grafana Tempo using foobar, a demo written in Python

Daniel is a Site Reliability Engineer at He’s especially interested in observability, distributed systems, and open source. During his free time, he helps maintain Grafana Tempo, an easy-to-use, high-scale distributed tracing backend. Distributed tracing is a way to track the path of requests through the application. It’s especially useful when you’re working on a microservice architecture.


Managing Python dependencies for Spark workloads in Cloudera Data Engineering

Apache Spark is now widely used in many enterprises for building high-performance ETL and Machine Learning pipelines. If the users are already familiar with Python then PySpark provides a python API for using Apache Spark. When users work with PySpark they often use existing python and/or custom Python packages in their program to extend and complement Apache Spark’s functionality. Apache Spark provides several options to manage these dependencies.


Why Python cProfile is the Recommended Profiling Interface

Performance optimization is a basic need for software development. When it comes to optimizing app performance, tracking frequency, maintaining production, or perpetuation method calls, profilers play a vital role. Learn why Python cProfile is a recommended profiling interface and how it enhances your software performance.


Python language support now beta in Snyk Code

Snyk Code now offers beta support for Python 2.x and 3.x projects. You do not have to install or update anything since we added the support to the backend engine and it is available instantly to be used. When a repository is scanned, you will see Python beta results showing up. If you cannot wait for a scheduled rescan, you can manually trigger a scan.


How to build a facial recognition system using Elasticsearch and Python

Have you ever tried to search for objects in images? Elasticsearch can help you store, analyze, and search for objects in images or videos. In this quick tutorial, we’ll show you how to build a system for facial recognition with Python. Learn more about how to detect and encode facial information — and find matches in search.


Getting Started with OpenTelemetry Python v1.0.0

Since the OpenTelemetry Tracing Specification reached 1.0.0 — guaranteeing long-term stability for the tracing portion of the OpenTelemetry clients, the community has been busy working to get the SDKs and APIs for popular programming language ready to be GA. Next in our ‘Getting Started with OpenTelemetry’ Series, we’ll walk you through instrumenting a Python application and install both the OpenTelemetry API and SDK.


Analyzing Python package downloads in BigQuery

The Google Cloud Public Datasets program recently published the Python Package Index (PyPI) dataset into the marketplace. PyPI is the standard repository for Python packages. If you’ve written code in Python before, you’ve probably downloaded packages from PyPI using pip or pipenv. This dataset provides statistics for all package downloads, along with metadata for each distribution. You can learn more about the underlying data and table schemas here.


Publishing a Python package

For many software engineers and developers, using standard libraries or built-in objects is just not enough. To save time and increase efficiency, most developers build on work done by others. Whatever the coding problem, there is likely another programmer who has already created a solution for it. There is usually no need to repeat the problem-solving process. This principle is known as Do not Repeat Yourself or DRY.


Python Optimization: 3 Easy Steps

Python is one of the best programming resources available for designing machine learning systems. With a variety of technical abilities and potentially time-saving loops and processes, it can be an invaluable tool. However, it’s these capabilities that also make Python difficult to use. In many cases, Python may seem sluggish as it tries to navigate intricate, complicated strings of code.