Jupyter
Looker
Google BigQuery
Databricks
Presto DB
Rakam
Informatica
Concurrent
WorkPatterns
Fellow.app
Waydev
Azendoo
Ethical Explorer Pack
Alpas
OKAY HQ
PAUSE
Being a great manager has never been harder. The relationship between employees and their managers is the key driver of workplace productivity and engagement. We believe that with the right tools managers can be exceptional leaders. WorkPatterns is designed to make team management easier, enabling continuous 1:1 feedback, collaborative meetings, goal tracking, and workflow management all in one place. Whether youโre a manager struggling to stay on top of things, or a CEO whose organization has outgrown its systems, WorkPatterns can help.
Jupyter
WorkPatternsBased on our record, Jupyter seems to be more popular. It has been mentiond 224 times since March 2021. 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.
Pre-configured environment. A working VM or container with Jupyter, pandas, scikit-learn, and transformers already installed. Realistic security datasets loaded. GTK Cyber students work in the Centaur VM, a free Apache 2.0 portable lab. If the first hour of training is fighting CUDA installs, the course is not ready. - Source: dev.to / 3 months ago
Pre-configured environment. A good course ships a VM or container with Jupyter, pandas, scikit-learn, PyTorch or transformers, and realistic security datasets loaded. GTK Cyber students work in the Centaur VM, a free Apache 2.0 portable lab. No setup tax. - Source: dev.to / 3 months ago
Or open test_mcp_timeout.ipynb in Jupyter, JupyterLab, VS Code, or your preferred notebook environment. - Source: dev.to / 3 months ago
Jupyter notebooks work well for hunt investigations because they combine code, output, and narrative in a single file. The risk is notebooks becoming unreadable ad-hoc sessions. Use consistent data loading patterns from the start. - Source: dev.to / 3 months ago
Jupyter Notebooks - Essential for exploratory data analysis and sharing your findings. - Source: dev.to / 5 months ago
Looker - Looker makes it easy for analysts to create and curate custom data experiencesโso everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.
Fellow.app - Fellow is the most complete AI meeting management platform built for teams that want to move faster and smarter
Google BigQuery - A fully managed data warehouse for large-scale data analytics.
Waydev - Waydev analyzes your codebase from Github, Gitlab, Azure DevOps & Bitbucket to help you bring out the best in your engineers work.
Databricks - Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.โWhat is Apache Spark?
Azendoo - Azendoo is a collaborative task management solution that helps companies to get work done easily and in teams.