Thonny Reviews

1. steve

   | retired | almost 3 years ago
   I like Thonny

   I started an on-line python course that used Pycharm as its basis. I had previously used Thonny to look at code for various programs. I found Pycharm to be over-featured for a beginner like me. Thonny seems much more on my level so I am continuing the course using it instead. And successfully I might add.

Grafana Reviews

Thonny mentions (108)

• FeedMyFurBabies – Send and Receive MQTT messages between AWS IoT Core and your micro-controller

  Install Thonny and run it. Then go to Tools -> Options, to configure the ESP32C3 device in Thonny to match the settings shown in the screenshot below. - Source: dev.to / 5 months ago

• Raspberry Pico Badger: Hardware Features and OS

  The recommended way to programm MicroPython on the Raspberry Pico is to use the Thonny IDE. Accessing the Badger with reveals the following file structure:. - Source: dev.to / 6 months ago

• Abstract Classes in Python

  Personally, I like to debug and step through code to see where I went wrong so I'm going to paste the code into my Thonny IDE. I like Thonny for small code challenges like this because it doesn't require setting up a whole project just to run and step through code. - Source: dev.to / 7 months ago

• Ask HN: Do you know any good coding platform for education?

  Thonny is designed speciffically for that purpose https://thonny.org . For beginners the main advantage is the easier install and maintainance, and the less intimidating/cluttered environment. IMHO it makes some decent tradeoffs, and it is an onramp for students evolving to VSCode or PyCharm when they feel ready. - Source: Hacker News / 7 months ago

• Macropad with KMK

  I use the serial console with a tool like Thonny to debug KMK/CircuitPython code on my device. Running something like import main; main.keyboard.go() usually prints a useful error message. Source: 12 months ago

Grafana mentions (201)

• Observability with Grafana and Eyer

  However, the raw data from Eyer might be difficult for non-technical individuals or teams to understand. This is where Grafana comes in. As a powerful visualization tool, Grafana transforms this data into clear and insightful dashboards, making it accessible to everyone who needs it. - Source: dev.to / 14 days ago

• Best Practices for Building Microservices with NestJS

  Implement health checks and monitoring to ensure the availability and performance of your microservices. Use tools like Prometheus, Grafana, or NestJS built-in health checks. - Source: dev.to / about 1 month ago

• Using Cloud Monitoring to Monitor IRIS-Based Applications Deployed in GKE

  In this article, we’ll look at one of the ways to monitor the InterSystems IRIS data platform (IRIS) deployed in the Google Kubernetes Engine (GKE). The GKE integrates easily with Cloud Monitoring, simplifying our task. As a bonus, the article shows how to display metrics from Cloud Monitoring in Grafana. - Source: dev.to / about 1 month ago

• Kubernetes for Beginners

  Kubernetes Documentation: https://kubernetes.io/docs/home/ Kubernetes Tutorials: https://kubernetes.io/docs/tutorials/ Kubernetes Community: https://kubernetes.io/community/ Prometheus: https://prometheus.io/ Grafana: https://grafana.com/ Elasticsearch: https://www.elastic.co/elasticsearch/ Kibana: https://www.elastic.co/kibana Helm: https://helm.sh/ Prometheus Helm Chart:... - Source: dev.to / about 2 months ago

• Docker Log Observability: Analyzing Container Logs in HashiCorp Nomad with Vector, Loki, and Grafana

  Monitoring application logs is a crucial aspect of the software development and deployment lifecycle. In this post, we'll delve into the process of observing logs generated by Docker container applications operating within HashiCorp Nomad. With the aid of Grafana, Vector, and Loki, we'll explore effective strategies for log analysis and visualization, enhancing visibility and troubleshooting capabilities within... - Source: dev.to / 4 months ago