I’ve always loved this example. I implemented the Monte Carlo pi estimation on a LEGO Mindstorms NXT back in high school. Totally sparked my interest in programming, simulations, etc. Also the NXT’s drag-and-drop, flowchart programming interface was actually a great intro to programming logic. Made it really easy to learn real programming in later on.
Location: Denver, Colorado (greater metro area)
Remote: Yes, for the right team. Prefer time in person.
Willing to relocate: No
Technologies:
- Python: Pandas, Numpy, Scipy, Django, Natural Language Toolkit, SQLAlchemy, Pytorch, Pillow, Airflow
- DB: PostgreSQL, MS-SQL, TimescaleDB, SQLite
- Full-stack: Django, HTMX, JavaScript, Bootstrap
Résumé/CV: Happy to share upon request
Email: hnjobs [at] abrefeld.anonaddy.com
Hi everyone, I'm Alex, a data scientist / quantitative financial analyst with 6 years of Python experience and full-stack skills.
- 2 years as a trader and quant analyst market making in ETFs. My Python apps managed millions of shares and my research cut $100k's in costs
- A year as a full-stack solo dev building web apps (Django, JavaScript, HTMX, Bootstrap, etc)
- Built a Natural Language Processing (NLP) pipeline, automating a finance journal's submission process
- BA in Mathematics, Master's in Finance
If you're working on challenging projects in data science / finance, let's chat!
> If you know your metric longitude, you know the local time shift, and vice versa.
I've also thought that setting time using longitude could make sense. Especially since I and many people tell time, schedule meetings, etc using a device with a GPS. This article [0] makes an interesting point about the effect that time shift based on longitude would have on computers in the same data center.
> At the equator, the position directly underneath the mean Sun travels west at about 463 metres per second. That means a standard rack unit is about one millisecond wide. ...
So, strictly speaking, continuous time zones mean that clocks on machines in different parts of the same data centre — neighbouring racks, even — will need to be set to different times, depending on the exact positions of those racks.
It concludes that you would have to choose a single reference point to represent the time of a machine and that:
> We might even consider applying this consistency across all machines in any given data centre. This would simplify tasks such as e.g. collating accurately timestamped log entries from multiple machines. We would ignore the real longitudes of the various machines and set all of their clocks to the same local time. The interior of the facility would become an area of uniform time; a "time zone", as it were.
Data science / finance | Python (6+ years) | Looking for full-time | In-Person / Hybrid
Location: Denver, Colorado (greater metro area)
Remote: Yes, for the right team. Prefer time in person.
Willing to relocate: No
Technologies:
- Python: Pandas, Numpy, Scipy, Django, Natural Language Toolkit, SQLAlchemy, Pytorch, Pillow, Airflow
- DB: PostgreSQL, MS-SQL, TimescaleDB, SQLite
- Full-stack: Django, JavaScript, Bootstrap, CSS
- Tableau, Advanced Excel, VBA
Résumé/CV: Happy to share upon request
Email: hnjobs [at] abrefeld.anonaddy.com
Hi everyone, I'm Alex, a data scientist / quantitative financial analyst with 6 years of Python experience and full-stack skills.
- 2 years as a trader and quant analyst market making in ETFs. My Python apps managed millions of shares and my research cut $100k's in costs.
- A year as a full-stack solo dev building web apps (Django, JavaScript, Bootstrap, etc). My MinimalistBookJournal app (https://github.com/alex-b1729/bookjournal) combines my interests in reading, journaling, and minimal web interfaces.
- Built a Natural Language Processing (NLP) pipeline, automating a finance journal's submission process.
- BA in Mathematics, Master's in Finance
If you're working on challenging projects in data science / finance, let's chat!
I will second p5/processing as a fun tool. It's really a pretty easy and way to get into generative art. P5.js has an online editor which makes it easy.
The new nature of code book was updated to use p5 instead of processing and a fun way to start. As is the "coding train videos" which are interesting in the seem for kids but cover more advanced topics..
