34 lines
2.9 KiB
Markdown
34 lines
2.9 KiB
Markdown
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# Python 简介
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> 原文:[https://python.land/introduction-to-python](https://python.land/introduction-to-python)
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现在，您已经准备好开始学习 Python 的基础知识了。确保你的系统上安装了 [Python，或者使用 Python](https://python.land/installing-python) 的[在线版本。](https://python.land/installing-python/python-in-the-browser)
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即使您以前没有编程经验，您也应该能够从这个 Python 介绍中获得良好的开端。我们会慢慢来，但在您了解之前，您将对重要主题有一个坚实的基础知识:
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* [蟒蛇 REPL](https://python.land/introduction-to-python/the-repl)
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* [变量](https://python.land/introduction-to-python/variables)
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* [琴弦](https://python.land/introduction-to-python/strings)
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* [打印()功能](https://python.land/introduction-to-python/python-print)
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* [布尔型](https://python.land/introduction-to-python/python-boolean-and-operators)
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* [循环](https://python.land/introduction-to-python/python-for-loop)
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* [功能](https://python.land/introduction-to-python/functions)
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* [字典](https://python.land/python-data-types/dictionaries)
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* [数字](https://python.land/python-data-types/python-integer)
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* [迭代器](https://python.land/deep-dives/python-iterator)
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* 还有更多！
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这篇 Python 介绍不会深入这些主题的本质细节，而是触及表面，向您介绍基本概念。
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Thank you for reading my tutorials. I write these in my free time, and it requires a lot of time and effort. I use ads to keep writing these *free* articles, I hope you understand! **Support me by disabling your adblocker on my website** or, alternatively, **[buy me some coffee](https://www.buymeacoffee.com/pythonland)**. It's much appreciated and allows me to keep working on this site!
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在本教程的后面，我们将深入探讨一些特定的主题:
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* 例如，在我们的 [Python 函数深入研究](https://python.land/deep-dives/functions)中，我们将学习关于函数的更高级的东西
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* 我们还涵盖了虚拟环境(简称 venv)
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* 使用 [Pip 安装](https://python.land/virtual-environments/installing-packages-with-pip)进行软件包安装
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* 我们的[部署](https://python.land/deployment)部分涵盖了像[容器化您的 Python 项目](https://python.land/deployment/containerize-your-project)这样的事情
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* 我们关于 [Python 数据处理](https://python.land/data-processing)的章节将进入[用 Python 处理 JSON】和](https://python.land/data-processing/working-with-json)[解析 YAML](https://python.land/data-processing/python-yaml)
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* 我们提供了使用 [Python 进行数据科学](https://python.land/data-science)的学习途径
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如果你遇到困难，有任何问题，请不要犹豫[联系我](https://python.land/contact)。有时候写下问题就足以自己回答了，但是我很乐意尽我所能提供帮助。我们走吧！[点击这里开始了解 REPL](https://python.land/introduction-to-python/the-repl) 。
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