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Python for Kids, 2E, A Playful Introduction to Jason R. Briggs 🚀 Introducing “Python for Kids, 2E: A Playful Introduction to Programming” by Jason R. Briggs (2023) As someone immersed in bioscience engineering, computational methods, and education, I am pleased to present Python for Kids, 2nd Edition by Jason R. Briggs — an engaging, well-designed introduction to programming using Python 3, updated for 2023. This book offers a bridge: playful enough for beginners (especially young learners), rigorous enough in content to lay solid foundations. It is a resource I believe will serve well not only for children, but for anyone entering programming from a non-computer-science background.

Effective Python 3rd Edition-2024 After reading this post, we strongly recommend you read  Guidance  to understand our purpose. If you need proxy tools, please browse  this URL If you need VPN Provider, please browse  this URL 📘 「Book Introduction: Effective Python (3rd Edition, 2024) by Brett Slatkin」 “The hallmark of high-level research and engineering is not just solving problems, but solving them well .” In the rapidly evolving landscape of programming, especially in scientific computing, bioinformatics, data science, and AI research, the difference between a functioning script and effective Python code often translates to hours saved, reproducibility assured, and insights achieved more efficiently. For students and researchers aspiring to write clean, maintainable, and high-performance Python code, the third edition of Effective Python (2024) by Brett Slatkin emerges as a vital guide. 📚🐍

pyimageJ教程(2) 初识PyImageJ PyImageJ 与传统 ImageJ 的技术对比 「功能扩展性：」 传统 ImageJ 拥有庞大的插件生态（如Fiji自带数百种插件）和多种脚本语言支持（宏语言、Beanshell、JavaScript、Groovy、Jython 等），能满足常见生物图像处理需求。PyImageJ 则将 ImageJ/Fiji 的所有功能暴露给 Python 环境，用户可以直接调用 ImageJ2 的完整 API 及其插件，也可以利用 ImageJ1 的兼容层继续使用旧插件。这种桥接允许在同一程序中混用 ImageJ 的各种算法与 Python 生态中的工具（如 NumPy、SciPy、scikit-image、OpenCV、ITK 等）。例如，PyImageJ 可以调用 ImageJ 的 Find Maxima 等算法进行图像分析（下图示例演示了利用 PyImageJ 在细胞显微图像上执行 Find Maxima 的结果），同时也能结合 Python 库扩展功能。

  pyimageJ教程(1) 安装及安装前准备 从我大三cell实验课程发现这个项目到现在2年了，一直未有人发布此项目的免费教程，B站有位博主发了收费教程(价格88元)，因此我决定发布免费教程。由于MacOS的M系列芯片安装过程有兼容性问题(加之不折腾黑苹果)，linux系统没几个人用(需要就私信，博主只用debian系列，其他系列不会)，所以只更新Windows系统版本教程。