SAP Cloud Appliance Library
Spreadsheet Server
Winshuttle
RF-SMART
Global Cash Card
Reports Wand
KTern
MITS Distributor Analytics
Pandas
NumPy
OpenCV
Scikit-learn
Dataiku
Exploratory
htm.java
WEKA
SAP Cloud Appliance Library PandasBased on our record, Pandas seems to be a lot more popular than SAP Cloud Appliance Library. While we know about 201 links to Pandas, we've tracked only 3 mentions of SAP Cloud Appliance Library. 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.
Access to test/trial systems: there are trial systems on SAP CAL but not everyone can cough up 150$/month idle + 4$ per hour (S/4HANA 2021 trial with Google Cloud, according to the cost estimator). There are somewhat shady companies in India offering remote access but I know some people even in the US use them because it's way cheaper and convenient. (I don't endorse such companies and don't have any details.). Source: over 1 year ago
One point though: C4C is especially bad with regards to access. With other solutions, SAP is much better. You can spin up an entire SAP cloud infrastructure with S4 and cloud integration on https://cal.sap.com/ and the BTP trials. Source: over 2 years ago
You can easily spin up an S4 system to look around at cal.sap.com. Source: about 3 years ago
How to Accomplish: Use statistical analysis tools and libraries (e.g., Pandas for tabular data) to calculate and visualize these characteristics. For image datasets, custom scripts to analyze object sizes or mask distributions can be useful. Tools like OpenCV can assist in analyzing image properties, while libraries like Pandas and NumPy are excellent for tabular and numerical analysis. To address class... - Source: dev.to / 22 days ago
Pandas - A powerful data analysis and manipulation library for Python. Pandas Documentation - Official documentation. - Source: dev.to / 28 days ago
It's also possible for you to give a package an alias by using the as keyword. For instance, you could use the pandas package as pd like this:. - Source: dev.to / about 2 months ago
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 / 3 months 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 / 2 months ago
Spreadsheet Server - Spreadsheet Server have the power to build financial and operational reports with drill-down capability right in Excel from the ERP.
NumPy - NumPy is the fundamental package for scientific computing with Python
Winshuttle - Winshuttle simplifies SAP business processes by providing automated solutions for data movement, workflow applications and data governance.
OpenCV - OpenCV is the world's biggest computer vision library
RF-SMART - Improve accuracy with RF-SMART's WMS - Inventory management barcoding solutions for NetSuite, Oracle Cloud SCM, Microsoft Dynamics AX, JD Edwards EnterpriseOne, and JD Edwards World.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
