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[troubleshooting] Translation #76

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[troubleshooting] Translation
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# Troubleshooting
# 故障排除

This page is for readers experiencing errors when running the code from the lectures.
本页面旨在帮助读者解决执行讲座代码时遇到的错误。

## Fixing your local environment
## 修复您的本地环境

The basic assumption of the lectures is that code in a lecture should execute whenever
讲座的基本假设是：只要

1. it is executed in a Jupyter notebook and
1. the notebook is running on a machine with the latest version of Anaconda Python.
1. 在Jupyter笔记本中执行代码，并且
1. 笔记本在安装了最新版Anaconda Python的机器上运行。

You have installed Anaconda, haven't you, following the instructions in [this lecture](https://python-programming.quantecon.org/getting_started.html)?
你已经安装了Anaconda，是吧，按照[这节课](https://python-programming.quantecon.org/getting_started.html)中的指引？

Assuming that you have, the most common source of problems for our readers is that their Anaconda distribution is not up to date.
假设你已经安装了，我们读者最常见的问题是他们的Anaconda发行版不是最新的。

[Here's a useful article](https://www.anaconda.com/blog/keeping-anaconda-date)
on how to update Anaconda.
[这里有一篇有用的文章](https://www.anaconda.com/blog/keeping-anaconda-date)
讲述如何更新Anaconda。

Another option is to simply remove Anaconda and reinstall.
另一个选项是简单地卸载Anaconda并重新安装。

You also need to keep the external code libraries, such as [QuantEcon.py](https://quantecon.org/quantecon-py) up to date.
你还需要更新外部代码库，例如[QuantEcon.py](https://quantecon.org/quantecon-py)。

For this task you can either
为此，你可以

* use conda install -y quantecon on the command line, or
* execute !conda install -y quantecon within a Jupyter notebook.
* 在命令行中使用 conda install -y quantecon，或
* 在Jupyter笔记本中执行 !conda install -y quantecon。

If your local environment is still not working you can do two things.
如果您的本地环境依然无法工作，你可以做两件事。

First, you can use a remote machine instead, by clicking on the Launch Notebook icon available for each lecture
首先，你可以通过点击每个教程提供的启动笔记本图标改用远程机器

```{image} _static/lecture_specific/troubleshooting/launch.png

```

Second, you can report an issue, so we can try to fix your local set up.
其次，你可以报告一个问题，这样我们可以尝试修复您的本地设置。

We like getting feedback on the lectures so please don't hesitate to get in
touch.
我们喜欢收到课程的反馈，所以请随时与我们联系。

## Reporting an issue
## 报告问题

One way to give feedback is to raise an issue through our [issue tracker](https://github.com/QuantEcon/lecture-python/issues).
一种反馈方式是通过我们的[问题跟踪器](https://github.com/QuantEcon/lecture-python/issues)提出问题。

Please be as specific as possible. Tell us where the problem is and as much
detail about your local set up as you can provide.
请尽可能具体。告诉我们问题所在，以及尽可能多的关于您本地设置的细节。

Another feedback option is to use our [discourse forum](https://discourse.quantecon.org/).

Finally, you can provide direct feedback to [[email protected]](mailto:[email protected])
另一个反馈选项是使用我们的[论坛](https://discourse.quantecon.org/)。

最后，您可以直接向[[email protected]](mailto:[email protected])提供反馈。