learn-tech

00开篇词从工程的角度深入理解Python.md

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01如何逐步突破，成为Python高手？.md

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02JupyterNotebook为什么是现代Python的必学技术？.md

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03列表和元组，到底用哪一个？.md

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04字典、集合，你真的了解吗？.md

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05深入浅出字符串.md

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06Python“黑箱”：输入与输出.md

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07修炼基本功：条件与循环.md

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08异常处理：如何提高程序的稳定性？.md

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09不可或缺的自定义函数.md

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10简约不简单的匿名函数.md

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11面向对象（上）：从生活中的类比说起.md

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12面向对象（下）：如何实现一个搜索引擎？.md

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13搭建积木：Python模块化.md

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14答疑（一）：列表和元组的内部实现是怎样的？.md

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15Python对象的比较、拷贝.md

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16值传递，引用传递or其他，Python里参数是如何传递的？.md

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17强大的装饰器.md

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18metaclass，是潘多拉魔盒还是阿拉丁神灯？.md

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19深入理解迭代器和生成器.md

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20揭秘Python协程.md

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21Python并发编程之Futures.md

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22并发编程之Asyncio.md

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23你真的懂PythonGIL（全局解释器锁）吗？.md

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24带你解析Python垃圾回收机制.md

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25答疑（二）：GIL与多线程是什么关系呢？.md

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26活都来不及干了，还有空注意代码风格？！.md

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27学会合理分解代码，提高代码可读性.md

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28如何合理利用assert？.md

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29巧用上下文管理器和With语句精简代码.md

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30真的有必要写单元测试吗？.md

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31pdb&cProfile：调试和性能分析的法宝.md

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32答疑（三）：如何选择合适的异常处理方式？.md

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33带你初探量化世界.md

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34RESTful&Socket：搭建交易执行层核心.md

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35RESTful&Socket：行情数据对接和抓取.md

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36Pandas&Numpy：策略与回测系统.md

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37Kafka&ZMQ：自动化交易流水线.md

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38MySQL：日志和数据存储系统.md

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39Django：搭建监控平台.md

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40总结：Python中的数据结构与算法全景.md

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41硅谷一线互联网公司的工作体验.md

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42细数技术研发的注意事项.md

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43Q&A：聊一聊职业发展和选择.md

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加餐带你上手SWIG：一份清晰好用的SWIG编程实践指南.md

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结束语技术之外的几点成长建议.md

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