`
idning
  • 浏览: 139396 次
  • 性别: Icon_minigender_1
  • 来自: 北京
社区版块
存档分类
最新评论

[转载] Why I Love Python – Thinking in C++ 作者用Python后的想法

 
阅读更多

[转载] Why I Love Python – Thinking in C++ 作者用Python后的想法

 

这个图片台搞笑了.

 

 

 

image image

他横向对比了: Perl, C++, Java, Python,然后给出了10大使用Python的理由,比较经典。

下载地址:http://www.joynb.net/wiki/images/c/c2/Why_I_Love_Python.rar

分享到:
评论

相关推荐

    Why I Love Python

    《Why I Love Python》,一份详细介绍python的PPT文档

    Bruce Eckel : Why I Love Python

    Bruce Eckel,知名编程书籍《Thinking in C++》的作者,对Python情有独钟。他认为Python是他解决自身问题时最常使用的语言,因为使用Python能够使他的思维更加清晰。Python在提升生产力方面具有显著优势,尤其是在...

    Causal Inference and Discovery in Python

    本书《Causal Inference and Discovery in Python》旨在介绍机器学习和Pearlian Perspective下的因果推断和发现技术,通过使用DoWhy、EconML、PyTorch等库,帮助读者_unlock the secrets of modern causal machine ...

    dowhy微软Python实现

    微软开发的DoWhy库是基于Python的一种实现,旨在提供一个强大的、易于使用的工具,用于进行因果效应的估计、假设检验和反事实推理。 DoWhy库的核心理念是将因果推断与机器学习相结合,通过图形模型(graphical ...

    Python-DoWhy微软出品的Python因果推断库

    DoWhy is a Python library that makes it easy to estimate causal effects. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.

    Why Python Rocks for Research By HOYT KOEPKE

    作者从四年前放弃MATLAB转而使用Python作为主要的研究编码语言谈起,分享了这一转变所带来的巨大收益。 #### Python的核心特性及其应用 Python之所以能在科研领域获得广泛认可,得益于其丰富多样的特性和高质量的...

    Causal.Inference.in.Python.sanet.st.pdf

    Python作为一种广泛使用的编程语言,拥有丰富的库和工具支持因果推断,例如`CausalGraphicalModels`、`DoWhy`、` EconML`等。这些库可以帮助我们构建因果图,执行倾向得分匹配,以及评估因果效应。 书中可能涵盖了...

    Using_Asyncio_in_Python_3.rar

    关于Python3中Asyncio库的详细介绍与示例: You’ll learn why Asyncio offers a safer alternative to preemptive multitasking (threading) and how this API provides a simple way to support thousands of ...

    Python+Interviews-Packt+Publishing(2018).epub

    You will discover why Python didn't have Unicode support in its first release, and you'll hear from core developers about where they think Python is going in the future. You will also hear from some ...

    How not to Program in C++A 111 Broken Programs

    本书《How not to Program in C++: 111 Broken Programs and 3 Working Ones, or Why Does 2+2=5986》由Steve Oualline撰写,通过介绍111个存在错误的程序和3个能够正常工作的程序,深入浅出地讲解了在C++编程中如何...

    python英文原版教程《Introducing_Python》

    12. “Why Python?”章节可能深入解释了Python语言的优势、设计理念以及为什么Python值得学习。 13. “When No”可能是讨论在什么情况下Python不是最佳选择的讨论,提供了一些关于选择Python的限制或局限性的信息。...

    Why Eve and Mallory Love Android:An Analysis of Android SSL(In) Security

    文章标题为:“Why Eve and Mallory Love Android:An Analysis of Android SSL(In)Security”,从标题我们可以看出,本文将重点分析Android操作系统中SSL/TLS协议安全性的潜在问题,以及这些安全漏洞为何受到攻击者...

    Python in Practice(Addison,2013)

    If you're an experienced Python programmer, Python in Practice will help you improve the quality, reliability, speed, maintainability, and usability of all your Python programs. Mark Summerfield ...

    Pro Python电子版

    Who this book is for This book is for intermediate to advanced Python programmers who are looking to understand how and why Python works the way it does and how they can take their code to the next ...

Global site tag (gtag.js) - Google Analytics