This powerful and professional spreadsheet has all the tools you need to calculate, analyse, summarize, and present your data in numerical reports or colourful graphics. A fully-integrated help system makes entering complex formulas a breeze. Pull in external data using ODBC, sort it, and produce subtotals and statistical analyses.
Use the chart wizard to select from eight or more categories of 2-D and 3-D charts including line, area, column, pie, XY, stock and with dozens of variants. Whether you are producing financial reports or managing personal expenses, SSuite Axcel gives you more efficiency and flexibility to accomplish your goals. SSuite Axcel Professional also has ODBC connectivity to query any database through a custom SQL query dialog window.
With a few mouse-clicks, you can reorganize your spreadsheet to show or hide certain data ranges, or to format ranges according to special conditions, or to quickly calculate subtotals and totals. SSuite Axcel lets you present spreadsheet data in dynamic charts that update automatically when the data changes.
Minimum System Requirements:
Now also includes an online edition - (PWA Enabled): - https://carbonplus.ssuiteoffice.com/
Installation Instructions: Before running any software applications, please read the "Read Me" document first!
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Based on our record, Ploomber seems to be more popular. It has been mentiond 7 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.
- One-click sharing powered by Ploomber Cloud: https://ploomber.io Note that JupySQL is a fork of ipython-sql; which is no longer actively developed. Catherine, ipython-sql's creator, was kind enough to pass the project to us (check out ipython-sql's README). We'd love to learn what you think and what features we can ship for JupySQL to be the best SQL client! Please let us know in the comments! - Source: Hacker News / 6 months ago
Developing end-to-end data science infrastructure can get complex. For example, many of us might have struggled to try to integrate AWS services and deal with configuration, permissions, etc. At Ploomber, we’ve worked with many companies in a wide range of industries, such as energy, entertainment, computational chemistry, and genomics, so we are constantly looking for simple solutions to get them started with... Source: over 1 year ago
If you like working locally with notebooks, you can run via the free tier of ploomber, that'll allow you to get the Ram/Compute you need for the bigger models as part of the free tier. Also, it has the historical executions so you don't need to remember what you executed an hour later! Source: over 1 year ago
That's what we do for lineage with https://ploomber.io/. Source: over 1 year ago
NBClient supports running notebooks via CLI for the most basic use cases. However, for more sophisticated execution options, consider the Ploomber! - Source: dev.to / almost 2 years ago
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