273 lines
17 KiB
Markdown
273 lines
17 KiB
Markdown
<!-- START doctoc generated TOC please keep comment here to allow auto update -->
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# Table of Contents
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- [Professional Programming](#professional-programming)
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- [Must read books](#must-read-books)
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- [Must-read articles](#must-read-articles)
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- [Things to do](#things-to-do)
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- [Attitude & habits](#attitude-&-habits)
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- [Coding](#coding)
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- [Incident response (outages, firefighting)](#incident-response-outages-firefighting)
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- [Interviewing](#interviewing)
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- [Managing the database](#managing-the-database)
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- [Reading](#reading)
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- [Releasing & deploying](#releasing-&-deploying)
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- [Testing](#testing)
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- [Writing for performance](#writing-for-performance)
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- [Things to know](#things-to-know)
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- [List of things to know](#list-of-things-to-know)
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- [Know characters sets](#know-characters-sets)
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- [Know your algorithm and data structures](#know-your-algorithm-and-data-structures)
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- [Know your concepts](#know-your-concepts)
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- [Know your editor](#know-your-editor)
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- [Know your database](#know-your-database)
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- [Know your dev environment](#know-your-dev-environment)
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- [Know your shell](#know-your-shell)
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- [Know your webdesign](#know-your-webdesign)
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- [Know your dotfiles](#know-your-dotfiles)
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- [Know your git](#know-your-git)
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- [Know how the Internet works](#know-how-the-internet-works)
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- [Know how to debug](#know-how-to-debug)
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- [Know how to design](#know-how-to-design)
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- [Know how to architect systems](#know-how-to-architect-systems)
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- [Know your programming language](#know-your-programming-language)
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- [Know your design patterns and anti-patterns](#know-your-design-patterns-and-anti-patterns)
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# Professional Programming
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> Give me six hours to chop down a tree and I will spend the first four sharpening the axe. (Abraham Lincoln)
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A collection of full-stack resources for programmers.
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The goal of this page is to make you a more proficient developer. You'll find only resources that I've found truly inspiring, or that have been become timeless classics.
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## Must read books
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I've found these books incredibly inspiring:
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* [The Pragmatic Programmer: From Journeyman to
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Master](http://www.amazon.com/The-Pragmatic-Programmer-Journeyman-Master/dp/020161622X): hands-on the most inspiring and useful book I've read about programming.
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* [Code Complete: A Practical Handbook of Software
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Construction](http://www.amazon.com/Code-Complete-Practical-Handbook-Construction/dp/0735619670): a nice addition to The Programatic Programmer, gives you the necessary framework to talk about code.
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* [Release It!](http://www.amazon.com/Release-It-Production-Ready-Pragmatic-Programmers/dp/0978739213): this books goes beyond code and gives you best practices for building production-ready software. It will give you about 3 years worth of real-world experience.
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* [Scalability Rules: 50 Principles for Scaling Web
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Sites](http://www.amazon.com/Scalability-Rules-Principles-Scaling-Sites/dp/0321753887)
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* [The Linux Programming Interface: A Linux and UNIX System Programming Handbook](http://www.amazon.com/The-Linux-Programming-Interface-Handbook/dp/1593272200): outside of teaching you almost everything you need to know about Linux, this book will give you insights into how software evolves, and the value of having simple & elegant interfaces.
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There are some free books available, including:
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* [Professional software development](http://mixmastamyk.bitbucket.org/pro_soft_dev/): pretty complete and a good companion to this page. The free chapters are mostly focused on software development processes: design, testing, code writing, etc. - and not so much about tech itself.
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## Must-read articles
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* [Practical Advice for New Software Engineers](http://product.hubspot.com/blog/practical-advice-for-new-software-engineers)
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* [On Being A Senior Engineer](http://www.kitchensoap.com/2012/10/25/on-being-a-senior-engineer/)
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* [Lessons Learned in Software Development](http://henrikwarne.com/2015/04/16/lessons-learned-in-software-development/): one of those articles that give you years of hard-earned lessons, all in one short article. Must read.
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* [Signs that you're a good programmer](http://www.yacoset.com/Home/signs-that-you-re-a-good-programmer)
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* [Signs that you're a bad programmer](http://www.yacoset.com/Home/signs-that-you-re-a-bad-programmer)
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## Things to do
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### Attitude & habits
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* [Mastering Programming](https://www.prod.facebook.com/notes/kent-beck/mastering-programming/1184427814923414#), Kent Beck.
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### Coding
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* [Write code that is easy to delete, not easy to extend](http://programmingisterrible.com/post/139222674273/write-code-that-is-easy-to-delete-not-easy-to)
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* [Lessons learned writing highly available code](https://medium.com/imgur-engineering/lessons-learned-writing-highly-available-code-7eaf3d7aae00#.u7c4j6hac)
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* [The Ten Commandments of Egoless Programming](http://blog.codinghorror.com/the-ten-commandments-of-egoless-programming/)
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### Incident response (outages, firefighting)
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* [Incident Response at Heroku](https://blog.heroku.com/archives/2014/5/9/incident-response-at-heroku)
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* [Blameless PostMortems and a Just Culture](https://codeascraft.com/2012/05/22/blameless-postmortems/)
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### Interviewing
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* [All the best advice we could find on how to get a job](https://80000hours.org/career-guide/how-to-get-a-job/)
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* [System design interview for IT company](https://github.com/checkcheckzz/system-design-interview)
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* [Technical Interview Megarepo](https://github.com/jdsutton/Technical-Interview-Megarepo): study materials for SE/CS technical interviews
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* [How to Win the Coding Interview](https://blog.devmastery.com/how-to-win-the-coding-interview-71ae7102d685#.16ph6bp5y)
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* [The elevator programming game](http://play.elevatorsaga.com/)
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### Managing the database
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* [Safe Operations For High Volume PostgreSQL](https://www.braintreepayments.com/blog/safe-operations-for-high-volume-postgresql/) (this is for PostgreSQL but works great for other db as well).
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* [Zero downtime database migrations](https://blog.rainforestqa.com/2014-06-27-zero-downtime-database-migrations/) (code examples are using Rails but this works great for any programming language)
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### Reading
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* [Papers we love](https://github.com/papers-we-love/papers-we-love): papers from the computer science community to read and discuss. Can be a good source of inspiration of solving your design problems.
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### Releasing & deploying
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* [How We Release So Frequently](http://engineering.skybettingandgaming.com/2016/02/02/how-we-release-so-frequently/)
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* [How to deploy software](https://zachholman.com/posts/deploying-software), Zach Holman
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* [BlueGreenDeployment](http://martinfowler.com/bliki/BlueGreenDeployment.html), Martin Fowler
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* [Move fast and break nothing](https://zachholman.com/talk/move-fast-break-nothing/), Zach Holman
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* [Flipping out](http://code.flickr.net/2009/12/02/flipping-out/), flickr. One of the first articles about feature flags.
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### Security
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* [Penetration Testing Tools Cheat Sheet](https://highon.coffee/blog/penetration-testing-tools-cheat-sheet/#http--https-webserver-enumeration)
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* [My First 10 Minutes On a Server - Primer for Securing Ubuntu](http://www.codelitt.com/blog/my-first-10-minutes-on-a-server-primer-for-securing-ubuntu/)
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### Testing
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* [Testing Strategies in a Microservices Architecture](http://martinfowler.com/articles/microservice-testing/) (Martin Fowler) is an awesome resources explaining how to test a service properly.
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* [A Quick Puzzle to Test Your Problem Solving](http://www.nytimes.com/interactive/2015/07/03/upshot/a-quick-puzzle-to-test-your-problem-solving.html?_r=0)... and a great way to learn about confirmation bias and why you're mostly writing positive test cases.
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### Writing for performance
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* [Numbers Everyone Should Know](https://everythingisdata.wordpress.com/2009/10/17/numbers-everyone-should-know/)
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## Things to know
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### List of things to know
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* [What every computer science major should know](http://matt.might.net/articles/what-cs-majors-should-know/)
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### Know characters sets
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* [The Absolute Minimum Every Software Developer Absolutely, Positively Must Know About Unicode and Character Sets (No Excuses!)](http://www.joelonsoftware.com/articles/Unicode.html)
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### Know your algorithm and data structures
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* Read the [CLRS](https://mitpress.mit.edu/books/introduction-algorithms). You can watch and download the course on [OCW](http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-046j-introduction-to-algorithms-sma-5503-fall-2005/) - there are newer courses as well.
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* Or [The Algorithm Design Manual](https://www.amazon.com/Algorithm-Design-Manual-Steven-Skiena/dp/1849967202?ie=UTF8&qid=1297127794&ref_=sr_1_1&sr=8-1)
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* Try out some algorithms on [Project Euler](https://projecteuler.net/)
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Let's be honest: algo can be a pretty dry topic. [This quota question](https://www.quora.com/Is-there-a-book-that-teaches-algorithms-data-structures-and-other-computer-science-basics-in-a-fun-way) lists some funnier learning alternative, including:
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* [Grokking Algorithms](https://www.amazon.com/dp/1617292230/ref=cm_sw_su_dp)
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* [Essential Algorithms](https://www.amazon.com/Essential-Algorithms-Practical-Approach-Computer/dp/1118612108?ie=UTF8&*Version*=1&*entries*=0)
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### Know your concepts
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* [DDD](https://en.wikipedia.org/wiki/Domain-driven_design)
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* [TDD](https://en.wikipedia.org/wiki/Test-driven_development)
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* [BDD](https://en.wikipedia.org/wiki/Behavior-driven_development)
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* [CAP theorem](https://en.wikipedia.org/wiki/CAP_theorem)
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* [OOP](https://en.wikipedia.org/wiki/Object-oriented_programming)
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* [YAGNI](https://en.wikipedia.org/wiki/You_aren%27t_gonna_need_it)
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* [DRY](https://en.wikipedia.org/wiki/Don%27t_repeat_yourself)
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* [KISS](https://en.wikipedia.org/wiki/KISS_principle)
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* [SOLID](https://en.wikipedia.org/wiki/SOLID_(object-oriented_design))
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* [GRASP](https://en.wikipedia.org/wiki/GRASP_(object-oriented_design))
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* [Make it run, make it right, make it fast](http://c2.com/cgi/wiki?MakeItWorkMakeItRightMakeItFast)
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### Know your editor
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* [Sublime Text essential plugins and resources](https://github.com/dreikanter/sublime-bookmarks)
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* [vim-awesome](http://vimawesome.com/)
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* Bram Moolenaar (Vim author), [Seven habits of effective text editing](http://www.moolenaar.net/habits.html) ([presentation](http://www.moolenaar.net/habits_2007.pdf)).
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### Know your database
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* [A plain english introduction to CAP Theorem](http://ksat.me/a-plain-english-introduction-to-cap-theorem/)
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* [NOSQL Patterns](http://horicky.blogspot.nl/2009/11/nosql-patterns.html)
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### Know your dev environment
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* [Awesome Dev Env](https://github.com/jondot/awesome-devenv)
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Tools
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* [Glances: An eye on your system](https://github.com/nicolargo/glances)
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* [HTTPie: a CLI, cURL-like tool for humans](https://github.com/jkbrzt/httpie)
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* [jq: command-line JSON processor](https://stedolan.github.io/jq/)
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* [tmux: terminal multiplexer](http://tmux.github.io/)
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* [htop: an interactive process viewer for Linux](http://hisham.hm/htop/)
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### Know your shell
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* [Awesome Shell](https://github.com/alebcay/awesome-shell)
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Resources
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* [Bash Hackers Wiki](http://wiki.bash-hackers.org/)
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* [Master the command line, in one page](https://github.com/jlevy/the-art-of-command-line) **must read**
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### Know your webdesign
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* [Maintainable CSS](http://maintainablecss.com/)
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### Know your dotfiles
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* [Awesome dotfiles](https://github.com/webpro/awesome-dotfiles)
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Articles
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* [Setting Up a Mac Dev Machine From Zero to Hero With Dotfiles](http://code.tutsplus.com/tutorials/setting-up-a-mac-dev-machine-from-zero-to-hero-with-dotfiles--net-35449)
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### Know your git
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* [Git Cheat Sheet](https://github.com/arslanbilal/git-cheat-sheet)
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* [git-tips](https://github.com/git-tips/tips)
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### Know how the Internet works
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* [How Does the Internet Work?](https://web.stanford.edu/class/msande91si/www-spr04/readings/week1/InternetWhitepaper.htm)
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### Know how to debug
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* [Rubber Duck Problem Solving](http://blog.codinghorror.com/rubber-duck-problem-solving/)
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* [Five Whys](https://en.wikipedia.org/wiki/5_Whys)
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* [The Infinite Hows](http://www.kitchensoap.com/2014/11/14/the-infinite-hows-or-the-dangers-of-the-five-whys/): this provides a strong criticism of the five whys method.
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* [Linux Performance Analysis in 60,000 Milliseconds](http://techblog.netflix.com/2015/11/linux-performance-analysis-in-60s.html)
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### Know how to design
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I highly recommend reading [The Non-Designer's Design Book](http://www.amazon.com/gp/product/0133966151/ref=pd_lpo_sbs_dp_ss_1?pf_rd_p=1944687602&pf_rd_s=lpo-top-stripe-1&pf_rd_t=201&pf_rd_i=0321534042&pf_rd_m=ATVPDKIKX0DER&pf_rd_r=1R7MVQP0BCP7GP9VZGYX). This is a pretty short book that will give you some very actionable design advices.
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* If you're working on data, Edward Tufte's [The Visual Display of Quantitative Information](http://www.amazon.com/Visual-Display-Quantitative-Information/dp/0961392142/ref=sr_1_1?ie=UTF8&qid=1458046603&sr=8-1&keywords=tufte) is considered a classic.
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* The [Universal Principles of Design](http://www.amazon.com/Universal-Principles-Design-Revised-Updated/dp/1592535879/ref=sr_1_1?ie=UTF8&qid=1458046663&sr=8-1&keywords=universal+principles+of+design) will give you enough vocabulary and concepts to describe design challenges into words.
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### Know how to architect systems
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* [High Scalability](http://highscalability.com/): great blog about system architecture, its weekly review article are packed with numerous insights and interesting technology reviews. Checkout the [all-times favorites](http://highscalability.com/all-time-favorites/).
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* [6 Rules of thumb to build blazing fast web server applications](http://loige.co/6-rules-of-thumb-to-build-blazing-fast-web-applications/)
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* [Deep Lessons From Google And EBay On Building Ecosystems Of Microservices](http://highscalability.com/blog/2015/12/1/deep-lessons-from-google-and-ebay-on-building-ecosystems-of.html)
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* [Service oriented architecture: scaling the Uber engineering codebase as we grow](https://eng.uber.com/soa/)
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* [The twelve-factor app](http://12factor.net/)
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* [Scalable Web Architecture and Distributed Systems](http://www.aosabook.org/en/distsys.html)
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* [Introduction to Architecting Systems for Scale](http://lethain.com/introduction-to-architecting-systems-for-scale/)
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* [A Distributed Systems Reading List](http://dancres.github.io/Pages/)
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* [Services Engineering Reading List](https://github.com/mmcgrana/services-engineering)
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* [System Design Cheatsheet](https://gist.github.com/vasanthk/485d1c25737e8e72759f)
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* [The Log: What every software engineer should know about real-time data's unifying abstraction](https://engineering.linkedin.com/distributed-systems/log-what-every-software-engineer-should-know-about-real-time-datas-unifying): one of those classical articles that everyone should read.
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### Know your programming language
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This is language-specific, for instance, checkout my [professional Python education doc](https://github.com/charlax/python-education).
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I'd recommend learning:
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* At least one dynamic language (Python, Ruby, JavaScript, etc.). Pretty useful for quick one-off automation scripts, and fastest to write for interviews.
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* At least one compiled language (Java, C, C++, etc.)
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* At least one more recent language to see where the industry is going (as of writing, Go, Swift, Rust, etc.)
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* At least one language that has first-class support for functional programming (Haskell, Scala, etc.)
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A bit more reading:
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* [A brief, incomplete, mostly wrong history of programming languages](http://james-iry.blogspot.fr/2009/05/brief-incomplete-and-mostly-wrong.html)
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### Know your design patterns and anti-patterns
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Here's a list of good books:
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* [Design Patterns: Elements of Reusable Object-Oriented Software](http://www.amazon.com/dp/0201633612/): dubbed "the gang of four", this is almost a required reading for any developer. A lot of those are a bit overkill for Python (because everything is an object, and dynamic typing), but the main idea (composition is better than inheritance) definitely is a good philosophy.
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* [Patterns of Enterprise Application Architecture](http://www.amazon.com/dp/0321127420/?tag=stackoverfl08-20): learn about how database are used in real world applications. Mike Bayer's SQLAlchemy has been heavily influenced by this book.
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* SourceMaking's [Design Patterns](https://sourcemaking.com/design_patterns) seems to be a good web resource too.
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* O'Reilly's [How to make mistakes in Python](http://www.oreilly.com/programming/free/files/how-to-make-mistakes-in-python.pdf)
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* [101 Design Patterns & Tips for Developers](https://sourcemaking.com/design-patterns-and-tips)
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I maintain a [list of antipatterns](https://github.com/charlax/antipatterns) on another repo. This is a highly recommended read.
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# Other lists of resources
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* [List of free programming books](https://github.com/vhf/free-programming-books) |