- Linux - be proficient using Ubuntu for example and the CLI and understand how the shell works, what are environment variables, subshells, processes/tasks, etc...
- Docker (and docker-compose) - what are containers and how they work (conceptually) and how to create and run ones
- Git - what does version control system mean and how to use Git
- RDB (relational databases) - what are relational databases, and understand tables, how to create them and make relations between them as needed... also understand that through SQLite and PostgreSQL (preferred) or MySQL
- Python - how to write Python very well and understand its [OOP] implementation...
- Virtualenv - And how to create virtual environments for python to isolate it from the system's installed version...
- Virtualenvwrapper to manage virtual environments easily
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| # Git | |
| .git | |
| .gitignore | |
| .gitattributes | |
| # CI | |
| .codeclimate.yml | |
| .travis.yml | |
| .taskcluster.yml |
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| """ | |
| Django ORM Optimization Tips | |
| Caveats: | |
| * Only use optimizations that obfuscate the code if you need to. | |
| * Not all of these tips are hard and fast rules. | |
| * Use your judgement to determine what improvements are appropriate for your code. | |
| """ | |
| # --------------------------------------------------------------------------- |
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| from django.db.models import Count, Max | |
| unique_fields = ['field_1', 'field_2'] | |
| duplicates = ( | |
| MyModel.objects.values(*unique_fields) | |
| .order_by() | |
| .annotate(max_id=Max('id'), count_id=Count('id')) | |
| .filter(count_id__gt=1) | |
| ) |
FWIW: I (@rondy) am not the creator of the content shared here, which is an excerpt from Edmond Lau's book. I simply copied and pasted it from another location and saved it as a personal note, before it gained popularity on news.ycombinator.com. Unfortunately, I cannot recall the exact origin of the original source, nor was I able to find the author's name, so I am can't provide the appropriate credits.
- By Edmond Lau
- Highly Recommended 👍
- http://www.theeffectiveengineer.com/
http://www.phy.mtu.edu/~suits/notefreqs.html
- Frequency: Hz
- Wavelength: cm
Based on A4 = 440Hz (equal-tempered scale)
This is a d3.js visualization of US zip codes.
Original zip code dataset from Geocommons.
5MB shapefile with properties such as zipcode, state, name, population, area, more.
http://geocommons.com/overlays/54893 (Thank you Bill Greer)
This converts it nicely: