<meta charset="utf-8" lang="en">
<div><span style="font-size: 3.6rem;" class="centered">Tom's Roadmap for Software Wizards</span></div>

!!! WARNING: Work in progress

## Learning notes 

- start with backend - history and first principles (code)
- then continue with basic backend skills (CLI/linux/python/sql/version control)
- cover web fundamentals (internet, www, html/css/js)
- touch on devops basics (classic hosting, vps, web server)
- dive deeper into backend again
    - databases, APIs, testing, caching, message brokers, queues and workers
    - design and arhihecture 
- dive deeper into devops again
    - ci/cd, containerzation, virtualization, instrumentation, monitoring, telemetry
    - SRE concepts 

## Other


```
Whats celery (python) and when do we use it? 🌶
When should we use nosql database (and what are the most commonly used ones) 🌶
What are task queues and when do we use them? 🌶🌶
Whats the difference between VPC and VPS? 🌶
Describe, explain as well as note why and when we use CI/CD. 🌶
What are duck typing and monkey patching? When do we use them and when are they harmful? 🌶🌶🌶
Whats the difference between On Prem, IaaS, PaaS and SaaS 🌶
What are entry points in python? Most common ones? https://amir.rachum.com/blog/2017/07/28/python-entry-points/ 🌶🌶🌶
When to use ORM and when plain sql 🌶🌶
Whats the difference between docker, docker compose and docker swarm? 🌶🌶
Whats python project configuration and how do we configure python (esp. flask) projects? 🌶🌶
Whats logging and how do we log in python? https://docs.python.org/3/howto/logging.html 🌶
Whats configuration management and why do we use it? What are the most common CM tools?🌶🌶🌶
When should we use column-oriented database (and what are the most commonly used ones) 🌶
Whats Sentry and what do we use it for? 🌶
What are package managers (in context of python) and whats the difference between pip, pipenv, poetry and conda? 🌶🌶
When do we use reverse proxy (and what are the most commonly used ones) 🌶🌶
What are redis and rabbitmq (in context of task queues)? when to use which? 🌶🌶
When to use sqlite and when to use postgresql 🌶
What are pytest and coverage.py? 🌶
What are jinja2 and mako and when to use them 🌶
Whats gerrit, what are its main features? 🌶
When to use flask and when django 🌶
Whats jenkins, what are its main features? 🌶🌶
In context of code testing whats mocking? 🌶🌶
Whats vagrant and what do we use it for? 🌶
```

https://hackersandslackers.com/series/data-analysis-pandas/

Lookup varios deployment strategies
https://harness.io/blog/continuous-verification/blue-green-canary-deployment-strategies/

Web Authentication Methods Compared https://testdriven.io/blog/web-authentication-methods/

Get tiny bit more autistic by reading how [https works](https://howhttps.works/episodes/).
Describe and explain: git flow, github flow, trunk based development, then compare them and note when to use which and why 🌶🌶🌶
- https://www.atlassian.com/git/tutorials/comparing-workflows/gitflow-workflow
- https://docs.github.com/en/get-started/quickstart/github-flow
- https://trunkbaseddevelopment.com/

SPA vs MPA? 
- https://asperbrothers.com/blog/spa-vs-mpa/
- https://yojji.io/blog/spa-vs-mpa
- https://news.ycombinator.com/item?id=18335007

Lookup methods for documenting python projects and python code
- https://docs.python-guide.org/writing/documentation/
- https://realpython.com/documenting-python-code/

Effective python second release (book)

Scrape Structured Data with Python and Extruct - [url](https://hackersandslackers.com/scrape-metadata-json-ld/)

### Scraping Data on the Web with BeautifulSoup - [url](https://hackersandslackers.com/scraping-urls-with-beautifulsoup/)
Things to pay attention to:
- what are python requests? Why use them?
- what are CSS Selectors
- HTML: what are elements and what are attributes

### Types
Pick one skim others:
- [Basic Data Types in Python](https://realpython.com/python-data-types/)
- [Python Type Checking (Guide)](https://realpython.com/python-type-checking/)
- [Python Data Types](https://www.programiz.com/python-programming/variables-datatypes)

Extra sauce:
- [Built-in Types](https://docs.python.org/3/library/stdtypes.html)
- [PEP 483 -- The Theory of Type Hints](https://www.python.org/dev/peps/pep-0483/)
- [PEP 484 -- Type Hints](https://www.python.org/dev/peps/pep-0484/)

### FastAPI
- [Types refresher](https://fastapi.tiangolo.com/python-types/)
- [Official tutorial](https://fastapi.tiangolo.com/tutorial/)
- [Developing and Testing an Asynchronous API with FastAPI and Pytest](https://testdriven.io/blog/fastapi-crud/)
- [Dockerizing FastAPI with Postgres, Uvicorn, and Traefik](https://testdriven.io/blog/fastapi-docker-traefik/)
- [Deploying and Hosting a Machine Learning Model with FastAPI and Heroku](https://testdriven.io/blog/fastapi-machine-learning/)

### Multiprocessing vs threading vs asyncio (in python)
- [Check what GIL is](https://en.wikipedia.org/wiki/Global_interpreter_lock)
- [Check what green threads are](https://en.wikipedia.org/wiki/Green_threads)
- [SO1](https://stackoverflow.com/questions/3044580/multiprocessing-vs-threading-python)
- [SO2](https://stackoverflow.com/questions/18114285/what-are-the-differences-between-the-threading-and-multiprocessing-modules/18114882#18114882)
- [Multiprocessing VS Threading VS AsyncIO in Python](https://leimao.github.io/blog/Python-Concurrency-High-Level/)
- [Async Python: The Different Forms of Concurrency](http://masnun.rocks/2016/10/06/async-python-the-different-forms-of-concurrency/)

### asyncio
Read multiple times if needed:
- [stackoverflow](https://stackoverflow.com/questions/50757497/simplest-async-await-example-possible-in-python)
- [A Hitchhikers Guide to Asynchronous Programming](https://github.com/crazyguitar/pysheeet/blob/master/docs/appendix/python-concurrent.rst#a-hitchhikers-guide-to-asynchronous-programming)

Skim:
- [Getting Started With Async Features in Python](https://realpython.com/python-async-features/)
- [Coroutines and Tasks](https://docs.python.org/3/library/asyncio-task.html#coroutines-and-tasks)
- [Developing with asyncio](https://docs.python.org/3/library/asyncio-dev.html#developing-with-asyncio)
- [Async IO in Python: A Complete Walkthrough](https://realpython.com/async-io-python/)

Extra sauce:
- [PEP 492 -- Coroutines with async and await syntax](https://www.python.org/dev/peps/pep-0492/)


imho best approach je podjeliti ucenje na tri djela, 1. opcenito citanje o sto vise stackova i tehnologija da znas sto postoji, 2. hardskills (ovo gore, pocevsi od Effective python knjige, i to samo prva polovica je dosta) i 3. code tasks (hackerrank i sl) 
60 30 10 % efforta


----

### Learning Soft eng
- This could be a great content for personal blog/page
- blog could be based on tbx to be a forum in the background
- ceretain blog posts could be propagated to work manual pages
- i could have different blogs on different sections of the page
    -  this could be represented by different subforums?
- sell minibooks - condensed versions of full books and affiliate links to full versions?
- read all miguel wrote

python
- https://python-patterns.guide/
- effective py
- https://martinheinz.dev/blog/64
- https://martinheinz.dev/tag/python/

(distributed) systems (design)
- https://github.com/donnemartin/system-design-primer
- Art of Scalability 9780134031408
- https://github.com/jepsen-io/maelstrom
- https://github.com/aphyr/distsys-class
- https://aosabook.org/en/v2/zeromq.html
- [System Design Interview: An Insider’s Guide](file:///media/frain/storage/files/books/System%20Design%20Interview%20An%20Insider%E2%80%99s%20Guide%20by%20Alex%20Xu%20(z-lib.org).pdf)

algos
- Algorithhms 4th Edition
- The Algorithm Design Manual

data science ml applied - detecting rocks
- https://www.sciencedirect.com/science/article/pii/S1674987120302486
- https://arxiv.org/pdf/1903.11436.pdf
- https://github.com/maxfrei750/DeepParticleNet

other & low priority
- DEBUG https://virtual.entrio.hr/event/lobby/11001
- how to handle logging https://news.ycombinator.com/item?id=20818106
- more on logging https://news.ycombinator.com/item?id=24006697
- https://www.infoq.com/minibooks/domain-driven-design-quickly/
- https://github.com/upgundecha/howtheysre
- learn airflow https://airflow.apache.org/
- learn about kafka https://kafka.apache.org/uses

### system design & distributed
- DDIA §
- watch https://www.youtube.com/watch?v=-W9F__D3oY4&list=PLmhRNZyYVpDmLpaVQm3mK5PY5KB_4hLjE&index=11
- https://github.com/karanpratapsingh/system-design
- https://github.com/donnemartin/system-design-primer
- https://github.com/aphyr/distsys-class

### Learning Systems Engineering
- https://en.wikipedia.org/wiki/Systems_engineering
- SEBoK https://sebokwiki.org/wiki/Guide_to_the_Systems_Engineering_Body_of_Knowledge_(SEBoK)

### programing (be/fe)
- book: ALGS4 §
- book: Practical SQL, 2nd Edition §
- https://docs.python.org/3/tutorial §
- book: effective py 2d ed §


### interview prep
- https://gist.github.com/tykurtz/3548a31f673588c05c89f9ca42067bc4)
- https://www.teamblind.com/post/New-Year-Gift---Curated-List-of-Top-75-LeetCode-Questions-to-Save-Your-Time-OaM1orEU
- https://seanprashad.com/leetcode-patterns/
- https://github.com/yangshun/tech-interview-handbook
- https://github.com/twowaits/SDE-Interview-Questions
- https://github.com/donnemartin/interactive-coding-challenges
- https://www.frontendinterviewhandbook.com/
- https://labuladong.gitbook.io/algo-en/
- [cracking the code interview](file:///media/frain/storage/files/books/Gayle%20Laakmann%20McDowell%20-%20Cracking%20the%20Coding%20Interview_%20189%20Programming%20Questions%20and%20Solutions-CareerCup%20(2015).pdf)
- https://blog.pragmaticengineer.com/preparing-for-the-systems-design-and-coding-interviews/
- https://leetcode.com/explore/interview/card/leapai/
- https://www.freecodecamp.org/learn/coding-interview-prep/
- my notes [here](https://github.com/frainfreeze/archive/tree/master/2018-2021/speedrun)
- https://github.com/jwasham/coding-interview-university


### Ml/ai
- https://github.com/khangich/machine-learning-interview
- book: https://arxiv.org/ftp/arxiv/papers/2201/2201.00650.pdf
- https://tom.kucar.org/workmanual/#_data_science


### security
- https://www.garyruddell.com/articles/how-to-pass-the-oscp-first-time
- https://www.willchatham.com/tech/oscp-achieved-offensive-security-certified-professional/
- https://www.reddit.com/r/oscp/comments/bbf7q7/passed_oscp_484642/


### other/general
- book: the SRE books trio
- https://github.com/jwasham/coding-interview-university
- https://github.com/zmcddn/coding-interview-guide
- https://github.com/kamranahmedse/developer-roadmap
- https://www.techinterviewhandbook.org/
- book: cracking the coding interview

    <hr>

## Python 2024-05-17

If you have 3-months - https://pythonmorsels.com has been a godsend for me when drilling on the fundamentals 
of the python language. I guarantee that if you are relatively new to the language, that you won't run out of 
(A) Interesting exercises, (B) Fundamental language concepts in less than 30-45 days, even spending 2-3 hours/day. 
Just knock off 1 or 2 a day, and then come back a couple days later, and, without checking into the hints/guidance, 
try and recall how you solved the exercise the first time - with zero checking into SO/exercise hints. 
I got 10x more out of the second solve, doing it from only my knowledge. If you can keep that cadence up for even 
a month - you will have at least the language fundamentals down really, really solid - then you can pivot to 
various algorithmic solves in the language, or, if there is a particular front-end/back-end/etc.. framework that 
you need to know - drilling into the characteristics of that.

Trey Hunner is one of the more gifted speakers - and he's really laid out a great exercise and test-coverage plan.

The best thing I can say about pythonmorsels is that, every 15-20 exercises, I look back and realize how little 
I actually knew. Going through all the exercises is easily the equivalent of a full-semester "Introduction to language" 
course at a college (minus the algorithmic elements - this is a "language concepts" site) 

- https://www.pythonmorsels.com/dashboard/
- https://news.ycombinator.com/item?id=34570169
- https://news.ycombinator.com/item?id=34570315
- https://nostarch.com/python-crash-course-3rd-edition
- https://docs.python.org/3/tutorial/
- https://www.oreilly.com/library/view/fluent-python-2nd/9781492056348/
- http://www.dabeaz.com/python-distilled/
- https://effectivepython.com/
- https://nostarch.com/seriouspython
- https://www.fullstackpython.com/
- https://www.deploypython.com/full-stack-python.html
- https://twitter.com/ThePSF


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