12 KiB
12 KiB
Table of Contents
Professional Programming
Give me six hours to chop down a tree and I will spend the first four sharpening the axe. (Abraham Lincoln)
A collection of full-stack resources for programmers.
Must read books
I've found these books incredibly inspiring:
- The Pragmatic Programmer: From Journeyman to Master: hands-on the most inspiring and useful book I've read about programming.
- Code Complete: A Practical Handbook of Software Construction: a nice addition to The Programatic Programmer, gives you the necessary framework to talk about code.
- Release It!: 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.
- Scalability Rules: 50 Principles for Scaling Web Sites
- The Linux Programming Interface: A Linux and UNIX System Programming Handbook: 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.
Must-read articles
- Practical Advice for New Software Engineers
- On Being A Senior Engineer
- Lessons Learned in Software Development: one of those articles that give you years of hard-earned lessons, all in one short article. Must read.
Things to do
Coding
- Write code that is easy to delete, not easy to extend
- Lessons learned writing highly available code
- The Ten Commandments of Egoless Programming
Incident response (outages, firefighting)
Interviewing
- System design interview for IT company
- Technical Interview Megarepo: study materials for SE/CS technical interviews
Managing the database
- Safe Operations For High Volume PostgreSQL (this is for PostgreSQL but works great for other db as well).
- Zero downtime database migrations (code examples are using Rails but this works great for any programming language)
Reading
- 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.
Releasing & deploying
- How We Release So Frequently
- How to deploy software, Zach Holman
- BlueGreenDeployment, Martin Fowler
- Move fast and break nothing, Zach Holman
- Flipping out, flickr. One of the first articles about feature flags.
Testing
- Testing Strategies in a Microservices Architecture (Martin Fowler) is an awesome resources explaining how to test a service properly.
Writing for performance
Things to know
List of things to know
Know your concepts
Know your editor
Know your database
Know your dev environment
Tools
- Glances: An eye on your system
- HTTPie: a CLI, cURL-like tool for humans
- jq: command-line JSON processor
- tmux: terminal multiplexer
- htop: an interactive process viewer for Linux
Know your shell
Resources
Know your webdesign
Know your dotfiles
Articles
Know your git
Know how to debug
- Rubber Duck Problem Solving
- Five Whys
- The Infinite Hows: this provides a strong criticism of the five whys method.
- Linux Performance Analysis in 60,000 Milliseconds
Know how to design
I highly recommend reading The Non-Designer's Design Book. This is a pretty short book that will give you some very actionable design advices.
- If you're working on data, Edward Tufte's The Visual Display of Quantitative Information is considered a classic.
- The Universal Principles of Design will give you enough vocabulary and concepts to describe design challenges into words.
Know how to architect systems
- High Scalability: great blog about system architecture, its weekly review article are packed with numerous insights and interesting technology reviews.
- 6 Rules of thumb to build blazing fast web server applications
- Deep Lessons From Google And EBay On Building Ecosystems Of Microservices
- Service oriented architecture: scaling the Uber engineering codebase as we grow
- The twelve-factor app
- Scalable Web Architecture and Distributed Systems
- Introduction to Architecting Systems for Scale
- A Distributed Systems Reading List
- Services Engineering Reading List
- System Design Cheatsheet
Know your language
This is language-specific, for instance, checkout my professional Python education doc.
Know your design patterns and anti-patterns
Here's a list of good books:
- Design Patterns: Elements of Reusable Object-Oriented Software: 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.
- Patterns of Enterprise Application Architecture: learn about how database are used in real world applications. Mike Bayer's SQLAlchemy has been heavily influenced by this book.
- SourceMaking's Design Patterns seems to be a good web resource too.
- O'Reilly's How to make mistakes in Python
- 101 Design Patterns & Tips for Developers
I maintain a list of antipatterns on another repo. This is a highly recommended read.