01 change of access to information
We see more and more people are learning reptiles, especially a lot of friends are non-technical background to use, it turns out, the data age is changing our way of thinking and learning.
On the one hand is the blowing of a variety of data, so we have a "resource" to explore the internal operation of the law of a field, which can be concluded by the flow method skills, perhaps even more reliable than experience.
On the other hand, the amount of data increases, people need to distinguish content screening more and more, is not that good at this time of the calculation of the human brain lost its natural advantage, we need to use tools to gather information, and then use the computer to help analysis and decision.
Therefore, knowledge and skills in a way, you can change the way we access information, cognitive style in the world, and these can be migrated methods and skills, could be another hidden power of personal development.
02 Two examples
Here I would like to give an example, on thinking skills to change:
The friend I've ever seen, zero-based entry reptile fastest man, not one.
He took a day to get started, it is a case study, by referring to other people's implementation process, as well as a variety of targeted search Python knowledge, and then independently crawling tens of thousands of rows of data.
By so doing, within two months, anti-climb most sites have not beat him up, and can be distributed technology, multi-threaded crawling.
By studying reptiles, he mastered Python, can write some scripts to handle repetitive tasks, automate work.
Although my friend did not technology, but he used to make cross-border learning in a variety of areas of integrated application technology.
In various industries, the more powerful chiefs, the more difficult you clearly define what he is doing, this is a profound interpretation of the cross-border capabilities.
Deviation 03 Learning and Skills acquired
According to the majority of feedback and Tucao point of view, the main problem with the following aspects:
1. Information asymmetry
提起Python爬虫，很多人都认为要先把Python学到熟练，再开始尝试利用编程技能实现爬虫。于是很多人看完两边语法，并没有太大感觉，既不能独立编程，也爬不了数据。
也有人认为HTML、CSS、Javascript前端三剑客+HTTP套餐必须先过一遍，才能在爬虫的学习过程中游刃有余。这一套下来，少则几个月，多则直接放弃。
所以这些惨案的发生，都归结于一个原因，前置学习时间太长，而这些都是信息不对称造成的。
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2.编程的鸿沟
一个毫无编程经历的人，要想习得编程的技能，必然是要经过一番痛苦和思维的转变。毕竟，人的思考方式，与计算机的计算机制，还是有很大程度的不同。
人的思维有逻辑且具有强大的自适应性，而计算机需要依靠一套完整的规则，以及基于这些规则的命令。我们需要做的是，将自己的想法用这些规则表示出来，让计算机实现。
所以零基础学习Python，也会遇到这些问题，很多语法不能理解，理解了不能应用，这些都很常见。
还有就是，编程要学到什么程度，什么时候开始实践，也是初学者无法把控的地方。以至于很多人数据类型、函数、语句学了很多，还没有真正写过可用的程序。
3.问题的解决
爬虫是一种交叉的技术，包含了网络、编程、前端等多个维度的知识点，很多时候出现问题，没有经验根本解决不了，甚至很多人无法清楚地描述具体问题。
而对于编程和爬虫，不同的编译环境、网页千差万别，很多时候很难找到精准的问题解决方案，这个尤为令人苦恼。
所以在遇到各种错误且没有进展的时候，你会发现一切都是山重水复，但解决问题后必然是柳暗花明、信心爆棚。
04关于爬虫，学习建议
那爬虫是不是不适合零基础学习，入门周期必漫长痛苦？其实不是。
找到正确的路径，有针对性地掌握基础知识，有明确的输出目标，再加上合理的实践训练，入门也可以像学习Office一样，水到渠成。
这些可以足够让你去上手爬取主流的网页，但并不是说一开始就需要去完全掌握，学习是循序渐进的过程，但有一些踩坑的经验分享。
不必回炉重造
无论是Python编程还是HTML、HTTP，你都不必前期完整学习一遍。以普通人的毅力和学习效率，没入门就放弃可能才是常态。
所以在学习爬虫过程中，有针对性地掌握相关的基础知识，更有针对性，这样的学习效率更高。知识能够即时地应用，有效输出内容，记忆也更加深刻。