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    <title>Programming-Libraries on Pi Stack</title>
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      <title>Go PDF Generation Libraries: gofpdf vs maroto vs unipdf vs jungkurtistnikgopdf</title>
      <link>https://www.pistack.xyz/posts/2026-07-01-go-pdf-libraries-gofpdf-maroto-unipdf-jungkurtistnikgopdf/</link>
      <pubDate>Wed, 01 Jul 2026 00:00:00 +0000</pubDate>
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      <description>&lt;h2 id=&#34;introduction&#34;&gt;Introduction&lt;/h2&gt;&#xA;&lt;p&gt;Go&amp;rsquo;s simplicity and performance make it a natural choice for document generation services — especially in microservice architectures where a dedicated PDF service handles invoice generation, report rendering, or certificate creation. The Go ecosystem offers several mature PDF libraries, each with different design philosophies: some mirror established multi-language APIs, others embrace Go&amp;rsquo;s idiomatic patterns, and a few provide comprehensive commercial-grade solutions.&lt;/p&gt;</description>
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      <title>Python Geospatial Processing Libraries: GeoPandas vs Shapely vs Fiona vs Rasterio vs Folium</title>
      <link>https://www.pistack.xyz/posts/2026-07-01-python-geospatial-libraries-geopandas-shapely-fiona-rasterio-folium/</link>
      <pubDate>Wed, 01 Jul 2026 00:00:00 +0000</pubDate>
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      <description>&lt;h2 id=&#34;introduction&#34;&gt;Introduction&lt;/h2&gt;&#xA;&lt;p&gt;Geospatial data processing has become essential across industries — from urban planning and environmental monitoring to logistics optimization and real estate analytics. Python has emerged as the dominant language for geospatial workflows thanks to a rich ecosystem of open-source libraries that handle vector geometries, raster analysis, file format conversion, and interactive mapping.&lt;/p&gt;</description>
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      <title>Python PDF Generation Libraries: ReportLab vs fpdf2 vs pikepdf vs pdfplumber vs PyMuPDF</title>
      <link>https://www.pistack.xyz/posts/2026-07-01-python-pdf-libraries-reportlab-fpdf2-pikepdf-pdfplumber-pymupdf/</link>
      <pubDate>Wed, 01 Jul 2026 00:00:00 +0000</pubDate>
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      <description>&lt;h2 id=&#34;introduction&#34;&gt;Introduction&lt;/h2&gt;&#xA;&lt;p&gt;PDF (Portable Document Format) remains the universal standard for document exchange — from invoices and reports to academic papers and government forms. For Python developers, generating, modifying, and extracting data from PDFs programmatically is a common requirement in web applications, data pipelines, and business automation workflows. Rather than relying on proprietary desktop software, the Python ecosystem offers a rich set of open-source libraries that handle everything from creating PDFs from scratch to parsing existing documents.&lt;/p&gt;</description>
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