Here are 7 of the best programming books you should read:
If you want to be successful in programming, open this:
Here are 7 of the best programming books you should read:
"Countless hours and significant resources are lost because of poorly written code. But it doesn't have to be that way."
Standout from the crowd by mastering the art of clean code.
https://t.co/GL1rWdk9z7
Overtime programs become "inefficient and hard to maintain and extend".
Which is why refactoring is just as important a skill as coding itself. This book covers the process in depth.
https://t.co/2445beyEgr
This is a fundamental topic in programming.
"[This book] covers a broad range of algorithms in depth, yet makes their design and analysis accessible to all levels".
https://t.co/skWBffVdog
"Widely considered one of the best practical guides to programming".
This book is packed with strategies to help programmers w/ debugging, refactoring, minimise code complexity & more!
https://t.co/mzcxBiLcOi
"This book is packed with practical advice-about everything from estimating and coding to refactoring and testing."
https://t.co/yvjwWA6kR1
"[This book] covers topics ranging from personal responsibility and career development to architectural techniques for keeping your code flexible and easy to adapt and reuse."
https://t.co/lZJNhU2kMN
What's the use of being a skilled coder if you crumble in technical interviews?
This book has helped countless of programmers land jobs.
https://t.co/Mj3L4eGFRA
Building projects or contributing to open source are the best ways to implement what you’ve learned.
I simplify software development and getting into tech💡
Follow @NikkiSiapno for more free tips and free resources.
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If you want to be successful in programming, open this:
— Nikki Siapno (@NikkiSiapno) November 1, 2022
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Krugman is, of course, right about this. BUT, note that universities can do a lot to revitalize declining and rural regions.
See this thing that @lymanstoneky wrote:
And see this thing that I wrote:
And see this book that @JamesFallows wrote:
And see this other thing that I wrote:
One thing I've been noticing about responses to today's column is that many people still don't get how strong the forces behind regional divergence are, and how hard to reverse 1/ https://t.co/Ft2aH1NcQt
— Paul Krugman (@paulkrugman) November 20, 2018
See this thing that @lymanstoneky wrote:
And see this thing that I wrote:
And see this book that @JamesFallows wrote:
And see this other thing that I wrote:
1/OK, data mystery time.
This New York Times feature shows China with a Gini Index of less than 30, which would make it more equal than Canada, France, or the Netherlands. https://t.co/g3Sv6DZTDE
That's weird. Income inequality in China is legendary.
Let's check this number.
2/The New York Times cites the World Bank's recent report, "Fair Progress? Economic Mobility across Generations Around the World".
The report is available here:
3/The World Bank report has a graph in which it appears to show the same value for China's Gini - under 0.3.
The graph cites the World Development Indicators as its source for the income inequality data.
4/The World Development Indicators are available at the World Bank's website.
Here's the Gini index: https://t.co/MvylQzpX6A
It looks as if the latest estimate for China's Gini is 42.2.
That estimate is from 2012.
5/A Gini of 42.2 would put China in the same neighborhood as the U.S., whose Gini was estimated at 41 in 2013.
I can't find the <30 number anywhere. The only other estimate in the tables for China is from 2008, when it was estimated at 42.8.
This New York Times feature shows China with a Gini Index of less than 30, which would make it more equal than Canada, France, or the Netherlands. https://t.co/g3Sv6DZTDE
That's weird. Income inequality in China is legendary.
Let's check this number.
2/The New York Times cites the World Bank's recent report, "Fair Progress? Economic Mobility across Generations Around the World".
The report is available here:
3/The World Bank report has a graph in which it appears to show the same value for China's Gini - under 0.3.
The graph cites the World Development Indicators as its source for the income inequality data.

4/The World Development Indicators are available at the World Bank's website.
Here's the Gini index: https://t.co/MvylQzpX6A
It looks as if the latest estimate for China's Gini is 42.2.
That estimate is from 2012.
5/A Gini of 42.2 would put China in the same neighborhood as the U.S., whose Gini was estimated at 41 in 2013.
I can't find the <30 number anywhere. The only other estimate in the tables for China is from 2008, when it was estimated at 42.8.