How does a programmer buy a house?

Do you still remember the " Hangzhou House Buying Collection " compiled by Mr. Li, a popular Internet programmer in 2018 ?

Mr. Li originally worked in Beijing, but in 2016, he finally paid the social security for five years and was eligible to buy a house. But the house price rose sharply. After several comparisons, he finally chose to work and buy a house in Hangzhou.

Because he did not understand the real estate market in Hangzhou, Mr. Li, who was engaged in big data work, began to build his own knowledge base of real estate notes. After several months of buying a house, he not only accumulated theoretical knowledge, but also greatly promoted the process of practice, and finally satisfied the purchase. A set of 116 square meters house.

Recently, another programmer was inspired by this Mr. Li and compiled a " Book of Buying Houses in Shanghai " . The programmer not only writes code, but also writes "Book of Houses." Does it make you stand up unconsciously? Thumbs?

It seems that everyone is still full of enthusiasm for buying a house.

At present, this book is marked with 1.5 k stars on GitHub and has a total of 118 branches.

Address: https://github.com/ayuer/shanghai_house_knowledge

It's too bad! This house buying guide is not only logically clear, but also very thorough, covering everything from real estate concepts, sector knowledge, land prices, supporting planning, school districts to loan analysis, etc.

Some of the catalogue pictures have been cut, and everyone can feel:

For those programmers who do not understand real estate and who recently have the need to buy a house, it can be said to be timely rain. Many people in the real estate industry were surprised when they saw it. How can a layman manage all real estate knowledge in such a detailed manner?

According to the author, this book is his homework for buying a house based on his experience of buying a house in Shanghai in November 2020. It is shared with everyone in the spirit of open source. 

In the part of talent introduction and settlement policy, the author not only explained in detail Shanghai's latest settlement policy, but also analyzed the different welfare policies for Shanghai's five types of residents.

In the third part of the full text of buying a house, you can see that the author deliberately joined the bargaining and price negotiation. This has to be a painful comprehension after all battles...

In addition to the 3 points of warm reminders, the author also attached three dry goods. I have to admire the meticulousness of this homework! After reading this "House Buying Guide", netizens admired the author while also putting forward many suggestions:

Netizen hitao123: There are too many links, it's too much to look at

Netizen a2951655522: With this money, why not immigrate directly?

If real estate companies can have the support of such big data technical analysts, I am afraid they will not have to worry about selling a house. If you plan to buy a house, you might as well go to GitHub to see if there are any strategies. Stop here today and have a nice weekend.

Finishing | Wang Xiaoman; Production | Program Life (ID: coder _life)

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Origin blog.csdn.net/weixin_47080540/article/details/112419878