TreeSheets VS NumPy
Compare TreeSheets VS NumPy and see what are their differences
Logseq is a local-first, non-linear, outliner notebook for organizing and sharing your personal knowledge base.
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TreeSheets
FreeMind
Freeplane
Xmind
CherryTree
Joplin
Obsidian.md
draw.io
NumPy
Pandas
OpenCV
Scikit-learn
Dataiku
Exploratory
htm.java
WEKA
TreeSheetsBased on our record, NumPy should be more popular than TreeSheets. 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.
The following are not exactly what you have asked for. https://gephi.org/ This implements lots of graph visualization algorithms. https://strlen.com/treesheets/ Excel for tree data. - Source: Hacker News / 3 months ago
Not sure it’s the right place to post this question but does anybody know an app/software similar to TreeSheets (https://strlen.com/treesheets/) that can run in a Webbrowser or be self hosted? Source: 8 months ago
Hijacking top comment to link TreeSheets. It seems to have been designed for this. https://strlen.com/treesheets/. - Source: Hacker News / 10 months ago
As a "Text Editor", in MS Word (desktop), I know you can double-click anywhere and start writing (and writing on the same line won't affect the position of other inline "text cells"). As an "infinite grid", there is https://strlen.com/treesheets/, but it is not exactly geared toward your aim (more like a spreadsheet/outliner combo, or "hierarchical spreadsheet"). - Source: Hacker News / 12 months ago
It doesn't have anything like this built in, but I find TreeSheets to be a really nice way to organize that doesn't lock you into any particular paradigm. Source: over 1 year ago
In NumPy with * or multiply(). ` or multiply()` can multiply 0D or more D arrays by element-wise multiplication. - Source: dev.to / 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 / 3 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 / 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 / 7 months ago
FreeMind - FreeMind is a premier free mind-mapping software written in Java.
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Freeplane - Freeplane is a powerful and free software for building mind maps.
OpenCV - OpenCV is the world's biggest computer vision library
Xmind - Xmind is a brainstorming and mind mapping application.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.