Documenting my journey from agriculture to technology. Here I share insights, challenges, and breakthroughs as I build the skills to bridge farming expertise with modern technology solutions. Follow along as I navigate the 28-week learning curriculum and beyond.
Outlining my comprehensive learning plan to bridge agricultural expertise with programming skills. From Python basics to advanced geospatial analysis and precision farming applications.
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Starting my 28-week agricultural programming journey with portfolio development. Lessons learned about balancing technical implementation with agricultural storytelling, and why your portfolio needs to speak both languages.
A comprehensive guide to finding and using agricultural data from USDA NASS, NASA AppEEARS, and other repositories. The wealth of information available is overwhelming but exciting for future projects.
Step-by-step guide to setting up a Python environment for agricultural geospatial analysis. Includes GDAL installation tips, essential libraries, and common pitfalls to avoid.
A comprehensive guide to setting up and optimizing Visual Studio Code for agricultural development tasks. Tips on extensions, settings, and workflows to enhance productivity.
Version control isn't just for software developers. Learn how agricultural professionals can use GitHub to manage field data, share research, and collaborate on precision agriculture projects.
Outlining my comprehensive learning plan to bridge agricultural expertise with programming skills. From Python basics to advanced geospatial analysis and precision farming applications.