“学编程，那不就是去做程序员吗？”
一提到编程，大多数人第一时间只是会联想到这是程序员工作所必须习得的技能。
但我们伟大的苹果之父史蒂夫·乔布斯说，「每个人都应该学习编程，因为它教会你思考的方式」。
同时，英国牛津大学研究称，未来20年英国35%现有工作将自动化。
日本研究人员称，在未来的十到二十年之内，日本将会有49%的工作岗位被机器人所取代
正如两百多年前，90% 的人从事农业工作，如今这一群体可能只有 10%。
AI是否会在未来取代你的工作呢？答案是肯定的。
但是，能真正把你淘汰的，是掌握适应AI时代技能的人。
AI擅长的是程序化的事情，它们取代的是那些重复性高、劳动密集型工作。释放了劳动力的人们，能够投入到创造性高和更有价值的事情上。
举个小例子，5年前，美团高层只需管理20个人，后来，他要管理60万人。按照传统来招人，从成本和效率来说，对当时的美团来说都是巨大负担。
于是他们创造了一套叫做“超脑”的人工智能管理系统。
“美团每天有2000万单，要靠60万个外卖小哥配送，高峰期一小时要进行29亿次路径规划，全是这个超脑系统在干。”
看到了吗？关键不是机器有多厉害，真正厉害的是创造机器的人。只有人才是改变命运、开辟时代的关键因素。
那么问题来了，在这个人工智能高速发展的时代，学习什么技能才能保持竞争力，持续地适应社会的变化呢？
看看下面的招聘要求你就知道了↓↓↓
在以上这些招聘要求中，一种编程语言被不断提及——Python！
为什么是Python？
因为它是“操纵”人工智能的底层知识，更因为它简单易学。
一个程序，用C语言需要1000行的代码，JAVA需要100行，但是如果用Python，你只需要20行！
除了语法简单，Python天然适合和数据打交道，对数据的处理比其他编程语言简单百倍，这也是它在信息搜集和数据分析方面备受亲睐的原因之一。
- 行政：很多公司已经用python自动形成考勤表，完成资产盘点和记录，轻松实现办公自动化。
- 财务：用 python完成庞大的报表数据的统计和分析。
- Sales: Use python to generate sales performance tables, weekly reports and monthly reports, which are clear at a glance.
- Operation: Use python to capture massive information about competing products, draw analytical conclusions, and formulate more favorable operating strategies.
…
Not only do you need to have certain programming skills to find a job in the future, but college students who learn Python well can also bring many benefits to themselves.
When my cousin graduated, he smashed three mice while trying to complete the required thesis.
In order to find some data, he often needs to click on dozens of web pages at the same time, quickly view useful information one by one, copy and paste the key points into local documents, and then conduct comprehensive sorting... which consumes a lot of time and energy.
"At 2:30 in the morning, I still turned on the light and looked at the densely packed documents on the screen. It almost made me explode... I had to keep ctrl+s for fear that the computer would crash! Or I died suddenly and forgot to save..." My cousin told me I complained wildly.
I finally put together a "perfect paper" with a plagiarism check rate of less than 20%, but was rejected by my tutor for various reasons and had to be rewritten:
There is no literature accumulation and no understanding of previous academic achievements;
Taken for granted, the article is empty and lacks analysis and discussion;
The example is single and there is no detailed data support, forming an isolated evidence.
From the perspective of someone who has experienced it, I helped him analyze it: these problems occurred because the accumulated materials were not enough, and the information and data I understood were not comprehensive. After all, I started organizing pictures of relevant materials two months in advance.
The colleague who heard me showing off silently opened Python and spent a few minutes to help him crawl all the relevant literature cases and data needed for the topic selection of the paper.
▲Thousands of papers can be captured in seconds
On the day he returned home after the defense, he excitedly told me that his paper was rated as an "excellent paper" by his tutor.
How to learn programming easily?
"Isn't it difficult for liberal arts students to learn programming if they have no foundation?"
But in fact, programming can be very simple.
About Python technical reserves
Learning Python well is good whether you are getting a job or doing a side job to make money, but you still need to have a learning plan to learn Python. Finally, we share a complete set of Python learning materials to give some help to those who want to learn Python!
1. Python learning outline
The technical points in all directions of Python are organized to form a summary of knowledge points in various fields. Its usefulness is that you can find corresponding learning resources according to the above knowledge points to ensure that you learn more comprehensively.
2. Essential development tools for Python
3. Introductory learning video
4. Practical cases
Optical theory is useless. You must learn to follow along and practice it in order to apply what you have learned to practice. At this time, you can learn from some practical cases.
5. Python side job part-time and full-time routes
6. Internet company interview questions
We must learn Python to find a high-paying job. The following interview questions are the latest interview materials from first-tier Internet companies such as Alibaba, Tencent, Byte, etc., and Alibaba bosses have given authoritative answers. After finishing this set I believe everyone can find a satisfactory job based on the interview information.
This complete version of Python learning materials has been uploaded to CSDN. If you need it, you can scan the official QR code of csdn below or click on the WeChat card at the bottom of the homepage and article to get the method. [Guaranteed 100% free]
