NumPy
Pandas
OpenCV
Scikit-learn
Dataiku
Exploratory
htm.java
WEKA
GSAK (Geocaching Swiss Army Knife)
Geocaching
iCaching
c:geo
GeoGet
OCM (Open Cache Manager)
GlobalBucket
Play Munzee
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Based on our record, NumPy seems to be a lot more popular than GSAK (Geocaching Swiss Army Knife). While we know about 109 links to NumPy, we've tracked only 10 mentions of GSAK (Geocaching Swiss Army Knife). 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.
This guide covers the basics of NumPy, and there's much more to explore. Visit numpy.org for more information and examples. - Source: dev.to / about 5 hours ago
Below is an example of a code cell. We'll visualize some simple data using two popular packages in Python. We'll use NumPy to create some random data, and Matplotlib to visualize it. - Source: dev.to / 9 months ago
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
You could load the caches into GSAK and export them to a .csv file which Excel can work with. Source: 6 months ago
The second step is https://gsak.net/index.php to download and use GSAK to sort the gpx file by owner name. It's a free to download, but there are A LOT of options to choose from. Fear not!, because the default settings are pretty much all you'll need. There are probably quite a few utilities out there that will work just as well as GSAK and be a lot easier to use so let's see if anyone can suggest one of those. Source: 12 months ago
If you do find yourself planning ahead, rather than copy coords down, you can use GSAK (on a computer) to collect the info on the caches you want to look for, then export that as a .gpx file, and save it to your phone and open it with whatever geocaching app you choose to use. Source: about 1 year ago
Look for apps that target geocachers. For example - GSAK (https://gsak.net/index.php). Source: almost 2 years ago
It's an application which has a lot of uses. https://gsak.net/index.php. Source: almost 2 years ago
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Geocaching - Geocaching is the premier app for locating geocaches. This app is available for both the Android and iOS platforms, and it makes locating these popular hidden treasures easy and fun.
OpenCV - OpenCV is the world's biggest computer vision library
iCaching - iCaching is the all-in-one Geocache manager for the Mac.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
c:geo - c:geo is simple yet powerful unofficial geocaching client for Android devices.