A campaign active since last November has been targeting Python developers building Telegram bots with trojanized Pyrogram ...

As a condition of using these data, you must cite the use of this data set. Such a practice gives credit to data set producers and advances principles of transparency and reproducibility. Other ...

MGET, also known as the GeoEco Python library, helps researchers access, manipulate, and analyze ecological and oceanographic data. MGET can be accessed through the GeoEco Python API or an associated ...

An internet search for free learning resources will likely return a long list that includes some useful sites amid a sea of not-really-free and not-very-useful sites. To help teachers more easily find ...

GDAL is a popular and powerful geospatial data processing library. GDAL is available as a set of commandline utilities (ready to use binaries files). The developer oriented library is available as a C ...

Spatial data analysis has become increasingly important in various fields, including urban planning, environmental science, agriculture, and epidemiology. With the rise of geographic information ...

The water-energy-food (WEF) nexus has evolved into an important transformative approach for facilitating the timely identification of trade-offs and synergies between interlinked sectors for informed ...

The table below shows my favorite go-to R packages for data import, wrangling, visualization and analysis — plus a few miscellaneous tasks tossed in. The package names in the table are clickable if ...