DBGallery VS NumPy
Compare DBGallery VS NumPy and see what are their differences
Create FREE one-page sites with limey.io.
Receive gifts. Capture leads. Share your favorite photos. All in a matter of minutes.
featured
DBGallery
Widen
Bynder
FastRawViewer
IrfanView
FastStone Image Viewer
FastPictureViewer
Periwatch Viligance
NumPy
Pandas
OpenCV
Scikit-learn
Dataiku
Exploratory
htm.java
WEKA
DBGallery, an abbreviation of Database Gallery, allows you to centrally store, manage, catalogue, archive and securely share your image, video, and document files. Keep track of different versions and detect duplicates. Its search capabilities make files easy to find and an intuitive modern interface makes it easy to use. Workflow and other team features provide a collaborative environment for those inside and outside an organization.
DBGalleryNo features have been listed yet.
Powerful easy-to-use file management app with file sharing options and email notifications.
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 / 3 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 / 3 months ago
Numpy: A library for scientific computing in Python. - Source: dev.to / 6 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 / 7 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 / 8 months ago
Widen - Digital asset management (DAM) & content production
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Bynder - Bynder is a cloud-based digital asset management solution for marketing professionals looking to simplify how they manage digital content via one central portal.
OpenCV - OpenCV is the world's biggest computer vision library
FastRawViewer - We needed it. We made it. We share it.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.