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[#]: subject: "8 surprising things I learned about Python in 2021"
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[#]: via: "https://opensource.com/article/22/1/python-roundup"
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[#]: author: "Sumantro Mukherjee https://opensource.com/users/sumantro"
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[#]: collector: "lujun9972"
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[#]: translator: "geekpi"
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[#]: reviewer: " "
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[#]: publisher: " "
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[#]: url: " "
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8 surprising things I learned about Python in 2021
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======
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Opensource.com authors shed light on new ways to use the popular
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programming language.
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![Hands on a keyboard with a Python book ][1]
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Python has long been one of the most popular programming languages, but that doesn't mean there's nothing new to learn. This list of Opensource.com's most-read articles about Python is an excellent place to start.
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* Widespread adoption of machine learning is here, and its applications are still growing. See how machine learning, using [Naïve Bayes][2] classifiers and implemented with Python, can solve real-life problems.
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* The transition to Python 3 is complete, but enhancements keep coming. Seth Kenlon highlights [five hidden gems in Python 3][3] that stand out among recent improvements.
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* Openshot has been one of the best options for Linux video editing for years. This popular article will show you how you, too, can [edit video on Linux][4] with this Python app.
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* The best part of Python is the limitless possibilities a programmer can achieve. [Cython][5] is a compiler that will not only help speed up code execution but also let users write C extensions for Python.
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* Python can make API unit testing simpler. Miguel Brito shows you [three ways to test your API][6] with Python.
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* As computation power increases, more and more programs run concurrently. That can make it challenging to debug, log, and profile what's going wrong. [VizTracer][7] was created to solve exactly that problem.
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* Users' personal projects, big and small, are a good reminder of how much fun open source coding can be. Here's an inspirational one: how Opensource.com author Darin London [monitors his greenhouse][8] using CircuitPython.
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* Linux users often encounter programs requiring a lot of command-line arguments that are not pleasant to work with. This is a [nice configuration parsing hack][9] to make life easier.
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--------------------------------------------------------------------------------
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via: https://opensource.com/article/22/1/python-roundup
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作者：[Sumantro Mukherjee][a]
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选题：[lujun9972][b]
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译者：[译者ID](https://github.com/译者ID)
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校对：[校对者ID](https://github.com/校对者ID)
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本文由 [LCTT](https://github.com/LCTT/TranslateProject) 原创编译，[Linux中国](https://linux.cn/) 荣誉推出
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[a]: https://opensource.com/users/sumantro
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[b]: https://github.com/lujun9972
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[1]: https://opensource.com/sites/default/files/styles/image-full-size/public/lead-images/python-programming-code-keyboard.png?itok=fxiSpmnd (Hands on a keyboard with a Python book )
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[2]: https://opensource.com/article/21/1/machine-learning-python
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[3]: https://opensource.com/article/21/7/python-3
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[4]: https://opensource.com/article/21/2/linux-python-video
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[5]: https://opensource.com/article/21/4/cython
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[6]: https://opensource.com/article/21/9/unit-test-python
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[7]: https://opensource.com/article/21/3/python-viztracer
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[8]: https://opensource.com/article/21/5/monitor-greenhouse-open-source
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[9]: https://opensource.com/article/21/6/parse-configuration-files-python
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@ -0,0 +1,57 @@
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[#]: subject: "8 surprising things I learned about Python in 2021"
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[#]: via: "https://opensource.com/article/22/1/python-roundup"
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[#]: author: "Sumantro Mukherjee https://opensource.com/users/sumantro"
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[#]: collector: "lujun9972"
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[#]: translator: "geekpi"
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[#]: reviewer: " "
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[#]: publisher: " "
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[#]: url: " "
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我在 2021 年学到的关于 Python 的 8 个令人惊讶的东西
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======
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Opensource.com 的作者们揭示了使用这一流行的编程语言的新方法。
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![Hands on a keyboard with a Python book ][1]
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长期以来，Python 一直是最受欢迎的编程语言之一，但这并不意味着没有什么新东西可学。Opensource.com 上关于 Python 的阅读量最大的文章列表是一个很好的开始。
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* 机器学习的广泛采用已经到来，其应用仍在增长。看看使用 [Naïve Bayes][2] 分类器并通过 Python 实现的机器学习如何解决现实生活中的问题。
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* 向 Python 3 的过渡已经完成，但增强功能不断涌现。Seth Kenlon 强调了[Python 3 中的五颗隐藏的宝石][3]，它们在最近的改进中脱颖而出。
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* Openshot 多年来一直是 Linux 视频编辑的最佳选择之一。这篇受欢迎的文章将告诉你，你也可以用这个 Python 应用[在 Linux 上编辑视频][4]。
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* Python 最好的部分是一个程序员可以实现的无限可能。[Cython][5] 是一个编译器，不仅可以帮助加快代码执行速度，还可以让用户为 Python 编写 C 语言扩展。
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* Python可以使 API 单元测试更简单。Miguel Brito 向你展示了[用 Python 测试 API 的三种方法][6]。
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* 随着计算能力的提高，越来越多的程序在并发运行。这可能会使调试、日志记录和剖析出错的地方成为挑战。[VizTracer][7] 正是为了解决这个问题而创建的。
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* 用户的个人项目，无论大小，都很好地提醒我们开源编码可以有多大的乐趣。这里有一个鼓舞人心的项目：Opensource.com 的作者 Darin London 如何使用 CircuitPython [监控他的温室][8]。
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* Linux 用户经常会遇到需要大量命令行参数的程序，这让人很不爽。这是一个[不错的配置解析技巧][9]，可以让生活更轻松。
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--------------------------------------------------------------------------------
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via: https://opensource.com/article/22/1/python-roundup
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作者：[Sumantro Mukherjee][a]
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选题：[lujun9972][b]
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译者：[geekpi](https://github.com/geekpi)
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校对：[校对者ID](https://github.com/校对者ID)
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本文由 [LCTT](https://github.com/LCTT/TranslateProject) 原创编译，[Linux中国](https://linux.cn/) 荣誉推出
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[a]: https://opensource.com/users/sumantro
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[b]: https://github.com/lujun9972
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[1]: https://opensource.com/sites/default/files/styles/image-full-size/public/lead-images/python-programming-code-keyboard.png?itok=fxiSpmnd (Hands on a keyboard with a Python book )
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[2]: https://opensource.com/article/21/1/machine-learning-python
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[3]: https://opensource.com/article/21/7/python-3
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[4]: https://opensource.com/article/21/2/linux-python-video
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[5]: https://opensource.com/article/21/4/cython
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[6]: https://opensource.com/article/21/9/unit-test-python
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[7]: https://opensource.com/article/21/3/python-viztracer
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[8]: https://opensource.com/article/21/5/monitor-greenhouse-open-source
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[9]: https://opensource.com/article/21/6/parse-configuration-files-python
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