• SourceTree vs Github Desktop – Which one to use

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    Sourcetree and GitHub Desktop are both free, GUI-based Git clients aimed at simplifying version control for developers. While they share the same core purpose—making Git more accessible—they differ in features, UI design, integration options, and target audiences.


    Installation & Setup

    • Sourcetree
      • Download: https://www.sourcetreeapp.com/
      • Supported OS: Windows 10+, macOS 10.13+
      • Prerequisites: Comes bundled with its own Git, or can be pointed to a system Git install.
      • Initial Setup: Wizard guides SSH key generation, authentication with Bitbucket/GitHub/GitLab.
    • GitHub Desktop
      • Download: https://desktop.github.com/
      • Supported OS: Windows 10+, macOS 10.15+
      • Prerequisites: Bundled Git; seamless login with GitHub.com or GitHub Enterprise.
      • Initial Setup: One-click sign-in with GitHub; auto-syncs repositories from your GitHub account.

    Feature Comparison

    FeatureSourcetreeGitHub Desktop
    Branch VisualizationDetailed graph view with drag-and-drop for rebasing/mergingLinear graph, simpler but less configurable
    Staging & CommitFile-by-file staging, inline diff viewAll-or-nothing staging, side-by-side diff
    Interactive RebaseFull support via UIBasic support via command line only
    Conflict ResolutionBuilt-in merge tool integration (DiffMerge, Beyond Compare)Contextual conflict editor with choice panels
    Submodule ManagementNative submodule supportLimited; requires CLI
    Custom Actions / HooksDefine custom actions (e.g., launch scripts)No UI for custom Git hooks
    Git Flow / Hg FlowBuilt-in supportNone
    PerformanceCan lag on very large reposGenerally snappier on medium-sized repos
    Memory FootprintHigher RAM usageLightweight
    Platform IntegrationAtlassian Bitbucket, JiraDeep GitHub.com / Enterprise integration
    Learning CurveSteeper for beginnersBeginner-friendly
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  • 3D Gaussian Splatting step by step beginner course

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    Arkadiusz Szadkowski : Splats vs Points vs Mesh


    🔸 Gaussian Splats: imagine throwing thousands of tiny ellipsoidal paint drops. They overlap, blend, and create a smooth, photorealistic look. Fast, great for visualization, but less structured for measurements.

    🔸 Point Clouds: every dot is a measured hit. LiDAR or photogrammetry gives us millions of them forming a constellation of reality. Amazing for accuracy, but they don’t connect the dots out of the box.

    🔸 Meshes: take those points, connect them into triangles, and you get very realistic surfaces. Strong for 3D analysis, simulation as continues watertight models.

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