Status.io is a hosted status page platform for incident communication and uptime monitoring. Keep your customers informed with real-time status updates, maintenance alerts, and transparent system notifications.
featured
Middleware.io
Better Stack
Zipy
Sentry.io
Grafana
Phare.io
Scoutflo
SigNoz
iPython
Jupyter
PyCharm
Spyder
IDLE
PyScripter
Pyzo
Ecere SDK
Middleware is an end-to-end cloud observability platform to brings all metrics, logs, and traces in one unified timeline to debug issues faster. It helps you un-silo your data and insights from all your containers, empowers your developers and DevOps to identify root causes, and solves issues in real-time.
With our unified view of metrics, logs, traces, and events, we accelerate troubleshooting and provide AI-driven insights for better infrastructure and application performance.
Key Features: * Infrastructure, Kubernetes, APM, Database, Log, Synthetic and Browser Monitoring * Custom Dashboards and Alerting * AI-Based Advisor Provides Insight and Suggestions * Unified Dashboard
Businesses of all sizes use our platform to reduce downtime and improve the user experience.
Middleware.io iPythonNo iPython videos yet. You could help us improve this page by suggesting one.
Based on our record, iPython seems to be a lot more popular than Middleware.io. While we know about 20 links to iPython, we've tracked only 1 mention of Middleware.io. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Middleware.io - Middleware observability platform provides complete visibility into your apps & stack, so you can monitor & diagnose issues at scale. They have a free forever plan for Dev community use that allows Log monitoring for up to 1M log events, Infrastructure monitoring & APM for up to 2 hosts. - Source: dev.to / over 2 years ago
The book introduces the core libraries essential for working with data in Python: particularly IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and related packages Familiarity with Python as a language is assumed; if you need a quick introduction to the language itself, see the free companion project, Aโฆ. - Source: dev.to / 10 months ago
As alluded to in Poetry2Nix Development Flake with Matplotlib GTK Support, Iโm currently in the process of getting my โnewโ python workflow up to speed. My second problem, after dependency and environment management, was that fancy REPLs like ipython or ptpython donโt jazz well with the standard comint based inferior python repl that comes with python-mode. One can basically only run ipython with the... - Source: dev.to / about 2 years ago
Third, if possible use a command line interpreter to test things out. I recommend ipython for this purpose. You can use your browser's developer console this way if you are learning Javascript. Source: over 3 years ago
IJulia is an interactive notebook environment powered by the Julia programming language. Its backend is integrated with that of the Jupyter environment. The interface is web-based, similar to the iPython notebook. It is open-source and cross-platform. - Source: dev.to / over 3 years ago
Also, take a look at installing iPthon to give you a much richer shell environment. This underpins Jupyter Notebooks, so is well known, proven and trusted. Source: over 3 years ago
Better Stack - Everything you need to ship higherโquality software faster.
Jupyter - Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages. Ready to get started? Try it in your browser Install the Notebook.
Zipy - Zipy is a debugging and prioritization platform that provides user session replay, frontend and network monitoring in one.
PyCharm - Python & Django IDE with intelligent code completion, on-the-fly error checking, quick-fixes, and much more...
Sentry.io - From error tracking to performance monitoring, developers can see what actually matters, solve quicker, and learn continuously about their applications - from the frontend to the backend.
Spyder - The Scientific Python Development Environment