capeterson
Location: San Francisco, CA
Remote: Remote/Onsite/Hybrid all OK
Willing to relocate: Yes
Technologies:
* AWS (SQS/SNS, Lambda, S3, EMR/Glue, Redshift/RDS, IAM/VPC, EC2, etc.), Terraform, GitHub Actions
* Python, Airflow, PostgreSQL
* TypeScript, Flask, D3.js, Pandas, PySpark, NumPy
Resume: https://drive.google.com/file/d/1uU5VtkJF3VBNoOGkKiCqD3wH3zl6NTtQ/view?usp=sharing
LinkedIn: https://www.linkedin.com/in/connerapeterson/
Email: [email protected]
Hi! I'm Conner, I've worked across a variety of technologies, but generally focusing on backend, cloud infrastructure, system design, pipelines, data/platform engineering and visualization of data. I'm a bit of a generalist and interested in pretty much anything- if you are interested, feel free to reach out! I'd love to chat. Location: San Francisco, CA
Remote: Remote/Onsite/Hybrid all OK
Willing to relocate: Yes
Technologies:
* AWS (SQS/SNS, Lambda, S3, EMR/Glue, Redshift/RDS, IAM/VPC, EC2, etc.), Terraform, GitHub Actions
* Python, Airflow, PostgreSQL
* TypeScript, Flask, D3.js, Pandas, PySpark, NumPy
Resume: https://drive.google.com/file/d/1uU5VtkJF3VBNoOGkKiCqD3wH3zl6NTtQ/view?usp=sharing
LinkedIn: https://www.linkedin.com/in/connerapeterson/
Email: [email protected]
Hi! I'm Conner, I've worked across a variety of technologies, but generally focusing on backend, cloud infrastructure, system design, pipelines, data/platform engineering and visualization of data. I'm a bit of a generalist and interested in pretty much anything- if you are interested, feel free to reach out! I'd love to chat. Location: San Francisco, CA
Remote: Remote/Onsite/Hybrid all OK
Willing to relocate: Yes
Technologies:
* AWS (SQS/SNS, Lambda, S3, EMR/Glue, Redshift/RDS, IAM/VPC, EC2, etc.), Terraform, GitHub Actions
* Python, Airflow, PostgreSQL
* TypeScript, Flask, D3.js, Pandas, PySpark, NumPy
Resume: https://drive.google.com/file/d/1uU5VtkJF3VBNoOGkKiCqD3wH3zl6NTtQ/view?usp=sharing
LinkedIn: https://www.linkedin.com/in/connerapeterson/
Email: [email protected]
Hi! I'm Conner, I've worked across a variety of technologies, but generally focusing on backend, cloud infrastructure, system design, pipelines, data/platform engineering and visualization of data. I'm a bit of a generalist and interested in pretty much anything- if you are interested, feel free to reach out! I'd love to chat. Location: San Francisco, CA
Remote: Remote/Onsite/Hybrid all OK
Willing to relocate: Yes
Technologies:
* AWS (SQS/SNS, Lambda, S3, EMR/Glue, Redshift/RDS, IAM/VPC, EC2, etc.), Terraform, GitHub Actions
* Python, Airflow, PostgreSQL
* TypeScript, Flask, D3.js, Pandas, PySpark, NumPy
Resume: https://drive.google.com/file/d/1uU5VtkJF3VBNoOGkKiCqD3wH3zl6NTtQ/view?usp=sharing
LinkedIn: https://www.linkedin.com/in/connerapeterson/
Email: [email protected]
Hi! I'm Conner, I've worked across a variety of technologies, but generally focusing on backend, cloud infrastructure, system design, pipelines, data engineering and visualization of data. I'm a bit of a generalist and interested in pretty much anything- if you are interested, feel free to reach out! I'd love to chat. Location: San Francisco, CA
Remote: Remote/Onsite/Hybrid all OK
Willing to relocate: Yes
Technologies:
* AWS (SQS/SNS, Lambda, S3, EMR/Glue, Redshift/RDS, IAM/VPC, EC2, etc.), Terraform, GitHub Actions
* Python, Airflow, PostgreSQL
* TypeScript, Flask, D3.js, Pandas, PySpark, NumPy
Resume: https://drive.google.com/file/d/1uU5VtkJF3VBNoOGkKiCqD3wH3zl6NTtQ/view?usp=sharing
LinkedIn: https://www.linkedin.com/in/connerapeterson/
Email: [email protected]
Hi! I'm Conner, I've worked across a variety of technologies, but generally focusing on backend, cloud infrastructure, system design, pipelines, data engineering and visualization of data. I'm a bit of a generalist and interested in pretty much anything- if you are interested, feel free to reach out! I'd love to chat. Location: Bay Area, CA
Remote: Remote/Onsite/Hybrid all OK
Willing to relocate: Yes
Technologies:
* AWS (SQS/SNS, Lambda, S3, EMR/Glue, Redshift/RDS, IAM/VPC, EC2, etc.), Terraform, GitHub Actions
* Python, Airflow, PostgreSQL
* TypeScript, Flask, D3.js, Pandas, PySpark, NumPy
Resume: https://drive.google.com/file/d/1uU5VtkJF3VBNoOGkKiCqD3wH3zl6NTtQ/view?usp=sharing
LinkedIn: https://www.linkedin.com/in/connerapeterson/
Email: [email protected]
Hi! I'm Conner, I've worked across a variety of technologies, but generally focusing on backend, cloud infrastructure, system design, pipelines, and visualization of data.
I'm a bit of a generalist and interested in pretty much anything- if you are interested, feel free to reach out! I'd love to chat. Location: Bay Area, CA
Remote: Remote/Onsite/Hybrid all OK
Willing to relocate: Yes
Technologies:
* AWS (SQS/SNS, Lambda, S3, EMR/Glue, Redshift/RDS, IAM/VPC, EC2, etc.), Terraform, GitHub Actions
* Python, Airflow, PostgreSQL
* TypeScript, Flask, D3.js, Pandas, PySpark, NumPy
Resume: https://drive.google.com/file/d/1uU5VtkJF3VBNoOGkKiCqD3wH3zl6NTtQ/view?usp=sharing
LinkedIn: https://www.linkedin.com/in/connerapeterson/
Email: [email protected]
Hi! I'm Conner, and I'm a software engineer with just over 2 years of experience- I've worked across a variety of technologies, but generally focusing on backend, cloud infrastructure, system design, pipelines, and visualization of data.I'm a bit of a generalist and interested in pretty much anything aside from strictly front-end work. Though, I do have a lot of fun with some of the things listed above- so if any of that applies to you or you are interested otherwise, feel free to reach out! I'd love to chat.
Otherwise, yes, it should rarely be an issue.
In my opinion, the biggest upside of CSU's is that they provide a vastly more diverse student body. There's a greater range of financial situations, age groups, and ethnicities. I feel this experience working with folks from a variety of backgrounds is an essential part of a strong candidate.
I'm personally not really on one side or another. "Alternative" paths (e.g. CSU's, community college, no school) seem to create candidates that have had a diverse life experience. Top UC's/private schools create candidates that are regarded as more academic.
That's just my take on it, and I feel that people being on one side or the other is mostly due to which of these stereotypes that person prefers.
For your example, it is almost literally impossible to destroy enough SFH's to build skyscraper apartments (where do these people go?) even if these SFH lots were somehow also zoned for massive skyscrapers (which they are certainly not).
I think your example is not necessarily a bad idea either, it's just an impossible idea. Nowadays we just can't simply displace thousands of people and then build structures in areas that aren't zoned for those structures.
As a result, even though 万 literally means 10,000, it is possible that 万 is used as more of a general idea for longevity. However, the article using the world "literally" would still be incorrect, I suppose!
Anyways, just figured that might clear up a small part of your question, since the usage of 万 is not necessarily literal in many East Asian languages.
Edit: Note, this is a "nice assurance to have" because private shipping companies generally reserve the right to open anything that they are shipping.
https://www.forbes.com/sites/adamtanner/2013/07/08/how-the-p...
It's definitely a lot more difficult nowadays, though.
LibreOffice does a similar amount of clobbering, but in general it notifies you of any would-be clobbering and allows you to abort beforehand, which is really nice. I still avoid exporting via LibreOffice though for very sensitive situations, but it is noticeably better still.
For me personally, I usually view things in Excel/LO but don't save, and if I need to modify anything I'll use a text editor for one-off changes, or I'll use something like Python with the pandas library for more programmatic changes. Pandas does have issues forcing timestamps to convert sometimes, but that can be easily configured. Otherwise, no problems with this method.
There's definitely a lot of friction if you want to edit .CSV's without your formatting/encoding being altered, unfortunately.
For example, one could be better than 90% of employees, but if they're highly specialized on a team/product that is getting phased out and they don't have transferable skills to move internally, they may get laid off even if they're not in the bottom % of whoever was getting laid off.
It definitely is an interesting thing to think about, but I agree that there are some holes to the logic.
The Q2 is good, and certainly a better value, but I'm not sure I'd say "not even comparable".
I think there are a couple fundamental misunderstandings here regarding cash. Answering this question may fix that a little bit:
> I’d be hard pressed to acquire Bitcoin in a way that didn’t associate the wallet with my identity (if you have methods, please share!)
If one purchases BTC on Coinbase, trades it for XMR, and then trades the XMR for BTC back to a separate BTC wallet, it is currently unfeasible to determine that the final BTC is linked to the initial BTC. Also, cash is not completely private- bills have serial numbers that are tracked in a similar way as to how one might track Bitcoin (unless you're dealing solely in coins). BTC and XMR are both able to be cashed out fairly easily as well. They could be legally sold, given that they're functionally untraceable. You can also fairly easily coordinate cash overnighted to a PO box set up with a fake identity.
Re: Private ledger cryptocurrencies
With Monero (for example), the sender, receiver, and transaction amount are all private. The quality of Monero's privacy is up for debate, but I see no reason why explicitly tracked cash bills are more secure than a private ledger cryptocurrency.
In conclusion, within the initial context of, "When I’m doing crime, I strongly prefer there to be no record of the transaction", I don't believe that there is an opsec-based reason for you to choose cash over cryptocurrencies. There is always going to be a risk when committing crimes- that is unavoidable. Maybe this is a big point for dealing in gold, haha?
Further, this point is completely nullified by the fact that there are private ledger cryptocurrencies (e.g. Monero). Widely available public cryptocurrencies like Bitcoin are useful for crime because they're (relatively) easily understandable, usable, and purchasable by laypeople. This results in a process that goes as such:
> Customer wants illicit good
> Customer goes on coin brokerage and buys Bitcoin
> Customer sends Bitcoin to illicit goods dealer in exchange for goods/services
> Dealer exchanges Bitcoin for Monero
> Dealer now has "clean" currency that could be used for anonymous cash drops, speculation, or even withdrawal from a public marketplace.
There are at least hundreds of people operating in the many millions of revenue using this model (with some additional safeguards) that have been successful for years and years. You are correct in saying that you are staking your freedom on the safety of something such as Monero, although you are free to analyze its safety and determine whether or not it is suitable for your threat model.