Assembly has helped thousands of companies achieve 95% employee engagement. Assembly works great for teams of all sizes and has a free trial option. Assembly offers a variety of useful features and integrates with Slack, MS Team, and popular SSO & HRIS solutions.
Improve employee engagement with CEO & executive updates, employee engagement surveys, employee recognition, employee nominations, employee pulse surveys, employee recognition surveys, weekly check-in templates, weekly template updates, and employee satisfaction surveys.
Improve internal communications with Ask me anything template, general news feed, Get Help template, Group feed, Icebreaker template, Idea Management template, Internal Wiki tool, Knowledge base, Standup meeting, Team retrospective and weekly updates.
Boost team productivity with daily recap template, daily/weekly agenda template, idea management template, meeting notes template, product feedback template, wins list, and a lightweight sales CRM template.
Simplify HR & Recruiting with templates such as employee benefits survey, contractor time tracking, employee exit interview survey, employee satisfaction survey, eNPS score, internal referral program, interview questions template and new hire survey.
No features have been listed yet.
I use to do my one on ones manually and had a slew of questions I'd run through. Now I have my reports answer the questions and leave a response of the most important things we can discuss when in our one on one.
Now I have a historical record of everything that is important, we spend time talking about what is most important for them that week, and we save nearly 30-45min per one on one.
Based on our record, Pandas seems to be more popular. It has been mentiond 198 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.
Python is a natural fit for serverless development. It boasts a vast array of libraries, including Powertools for AWS and robust libraries for data engineers. Its versatility and excellent developer experience make it a top choice for serverless projects, offering a seamless and enjoyable development experience. - Source: dev.to / 13 days ago
In data analysis, managing the structure and layout of data before analyzing them is crucial. Python offers versatile tools to manipulate data, including the often-used Pandas reset_index() method. - Source: dev.to / 6 days ago
Dash is a Python framework that enables you to build interactive frontend applications without writing a single line of Javascript. Internally and in projects we like to use it in order to build a quick proof of concept for data driven applications because of the nice integration with Plotly and pandas. For this post, I'm going to assume that you're already familiar with Dash and won't explain that part in detail.... - Source: dev.to / 2 months ago
Last year I worked through the challenges using VisiData, Datasette, and Pandas. I walked through my thought process and solutions in a series of posts. - Source: dev.to / 5 months ago
Data analysis involves scrutinizing datasets for class imbalances or protected features and understanding their correlations and representations. A classical tool like pandas would be my obvious choice for most of the analysis, and I would use OpenCV or Scikit-Image for image-related tasks. - Source: dev.to / 5 months ago
Bonusly - Recognition and rewards that make work fun
NumPy - NumPy is the fundamental package for scientific computing with Python
Labourly - Your all-in-one HR solution to manage and hire work-ready candidates.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
Kudos - Kudos is the simple and easy to use employee recognition software that enhances employee engagement and team communication.
OpenCV - OpenCV is the world's biggest computer vision library