<p align="center">
    <a href="https://mofanpy.com/tutorials/" target="_blank">
    <img width="60%" src="%E7%89%87%E5%A4%B4.png" style="max-width:100%;">
    </a>
</p>


<br>

我是 周沫凡, [莫烦Python](https://mofanpy.com/) 只是谐音, 我喜欢制作,
分享所学的东西, 所以你能在这里找到很多有用的东西, 少走弯路. 你能在[这里](https://mofanpy.com/about/)找到关于我的所有东西.

## 这个 Python tutorial 的一些内容:

* [Python 基础](https://mofanpy.com/tutorials/python-basic/)
  * [基础](https://mofanpy.com/tutorials/python-basic/basic/)
  * [多线程 threading](https://mofanpy.com/tutorials/python-basic/threading/)
  * [多进程 multiprocessing](https://mofanpy.com/tutorials/python-basic/multiprocessing/)
  * [简单窗口 tkinter](https://mofanpy.com/tutorials/python-basic/tkinter/)
* [机器学习](https://mofanpy.com/tutorials/machine-learning/)
  * [有趣的机器学习](https://mofanpy.com/tutorials/machine-learning/ML-intro/)
  * [强化学习 (Reinforcement Learning)](https://mofanpy.com/tutorials/machine-learning/reinforcement-learning/)
  * [进化算法 (Evolutionary Algorithm) 如遗传算法等](https://mofanpy.com/tutorials/machine-learning/evolutionary-algorithm/)
  * [Tensorflow (神经网络)](https://mofanpy.com/tutorials/machine-learning/tensorflow/)
  * [PyTorch (神经网络)](https://mofanpy.com/tutorials/machine-learning/torch/)
  * [Theano (神经网络)](https://mofanpy.com/tutorials/machine-learning/theano/)
  * [Keras (快速神经网络)](https://mofanpy.com/tutorials/machine-learning/keras/)
  * [Scikit-Learn (机器学习)](https://mofanpy.com/tutorials/machine-learning/sklearn/)
  * [机器学习实战](https://mofanpy.com/tutorials/machine-learning/ML-practice/)
* [数据处理](https://mofanpy.com/tutorials/data-manipulation/)
  * [Numpy & Pandas (处理数据)](https://mofanpy.com/tutorials/data-manipulation/np-pd/)
  * [Matplotlib (绘图)](https://mofanpy.com/tutorials/data-manipulation/plt/)
  * [爬虫](https://mofanpy.com/tutorials/data-manipulation/scraping/)
* [其他](https://mofanpy.com/tutorials/others/)
  * [Git (版本管理)](https://mofanpy.com/tutorials/others/git/)
  * [Linux 简易教学](https://mofanpy.com/tutorials/others/linux-basic/)

## 赞助和支持

这些 tutorial 都是我用业余时间写出来, 录成视频, 如果你觉得它对你很有帮助, 请你也分享给需要学习的朋友们.
如果你看好我的经验分享, 也请考虑适当的 [赞助打赏](https://mofanpy.com/support/), 让我能继续分享更好的内容给大家.