Assembly VS NumPy
Compare Assembly VS NumPy and see what are their differences
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Assembly
Bonusly
Labourly
Kudos
Achievers
Duolingo
Asana
Officevibe
NumPy
Pandas
Scikit-learn
OpenCV
Dataiku
Exploratory
htm.java
WEKA
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.
AssemblyNo 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, NumPy seems to be more popular. It has been mentiond 107 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.
In NumPy with * or multiply(). ` or multiply()` can multiply 0D or more D arrays by element-wise multiplication. - Source: dev.to / about 2 months ago
Data science projects often use numpy. However, numpy objects are not JSON-serializable and therefore require conversion to standard python objects in order to be saved:. - Source: dev.to / 2 months ago
Numpy: A library for scientific computing in Python. - Source: dev.to / 5 months ago
Python has become a preferred language for data analysis due to its simplicity and robust library ecosystem. Among these, NumPy stands out with its efficient handling of numerical data. Let’s say you’re working with numbers for large data sets—something Python’s native data structures may find challenging. That’s where NumPy arrays come into play, making numerical computations seamless and speedy. - Source: dev.to / 6 months ago
A majority of software in the modern world is built upon various third party packages. These packages help offload work that would otherwise be rather tedious. This includes interacting with cloud APIs, developing scientific applications, or even creating web applications. As you gain experience in python you'll be using more and more of these packages developed by others to power your own code. In this example... - Source: dev.to / 7 months ago
Bonusly - Recognition and rewards that make work fun
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the 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