Microsoft Office Excel
Google Sheets
LibreOffice - Calc
Apple Numbers
Apache OpenOffice Calc
Zoho Sheet
EtherCalc
Gnumeric
Pandas
NumPy
Scikit-learn
OpenCV
Dataiku
Exploratory
htm.java
WEKA
Microsoft Office Excel PandasA software program created by Microsoft that uses spreadsheets to organize numbers and data with formulas and functions. It is one of the best software for daily use Microsoft Office Excel has been an absolute game-changer for me in the realm of spreadsheet applications. Whether it's managing data, creating intricate formulas, or visualizing trends, Excel stands out as a powerhouse of functionality and efficiency.
What would we do without Excel!? Sure, the online version isn't as simple as Google Sheets, they could have chosen not to localise the function names, and it's always chaos trying to consolidate multiple budget or forecast files & templates, but aside from that it's everyone's favourite spreadsheet. What you can't do in Excel isn't worth doing. Even if there's often a better way...
It is one of the best software for daily purpose.
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 / 7 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
Google Sheets - Synchronizing, online-based word processor, part of Google Drive.
NumPy - NumPy is the fundamental package for scientific computing with Python
LibreOffice - Calc - LibreOffice Calc is the spreadsheet program you've always needed. A fork of OpenOffice.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
Apple Numbers - Numbers lets you build beautiful spreadsheets on a Mac, iPad, or iPhone — or on a PC using iWork for iCloud. And it’s compatible with Apple Pencil.
OpenCV - OpenCV is the world's biggest computer vision library