daemon13

Sorry to intercept, but how does it work?

Does not work with Chromium on Ubuntu :-(

Are you sure "ohm" web site is trustworthy?

I just got this

SSL connection error Unable to make a secure connection to the server. This may be a problem with the server, or it may be requiring a client authentication certificate that you don't have.

OP was not saying that he tried the game, he was saying that he tried to load the game and this is exactly what his critique was aimed at.

FYI - I had the same experience.

I waited for like 20-40 seconds for the stuff to load and then left the site...

Do you think such user experience feedback would be valid for your own project?

Can you share some "how to" pointers - may be a blog post describing how to do this?

This is the first time I heard about Gopher.

Why it's a terrible protocol?

To Barcelona hackers - which districts are the best to rent a nice modern-built loft/apartment:

- from quality angle?

- from price angle?

Edit: formatting

Practical question - let's say you spin new EC2 on AWS. This results in VM generating new host sshd key for this instance as part of bootstrapping new instance process.

How do you place host sshd key in DNS records without first connecting to this instance and getting the key, action which requires you to check/verify host sshd key (which is NOT in DNS yet)?

so it looks a bit like chicken and egg thing ...

What am I missing?

Interesting, actually what you mention is not an accounting per se, but I agree with you, specifically

>> 1. Pre-processing data for the entry.

For this specific example if the accounting package does not support certain depreciation method (which rather rare), you can easily do this in Excel, both for financial modelling purposes and as a supporting document for the accounting entry.

>> 2. Post-processing data.

What you describe is not accounting. This is financial and management reporting. Yes, Excel is what is used by most everyone.

Good points.

First and foremost you need to understand finance and the numbers (what is behind them), tool is not relevant for this.

However, proper tool does make things more efficient. Based on practical experience Excel is excellent for financial modelling.

As for R, Python + Pandas, databases and CSV files - they are mostly useful for supporting and ad-hoc analysis, esp. for sales and marketing data.

I agree with your valid point, re

>> Invalid point: Formulae are easy to follow and audience can easily verify/reproduce your work.

Actually this is another valid point of Excel.

Unless the financial model was done incorrectly (using VBA, complicated formula chains, unclear logic), it is very easy to verify financial model in Excel, which is a big plus.

Well, it is probably possible to do financial modelling in Erlang (fault tolerance, etc) or Go (good concurrency support).

But why would you need this? You can do financial model in 1 hour using Excel...

What for would you need "probability distribution and run a monte carlo simulation"?

I would be curious to know for which sort of accounting things Excel is ideal?

Sorry, I could not comprehend the second paragraph.

Fraud has nothing to do with paper or computer based system. To minimize risk of fraud you need to implement proper sets of controls, like segregation of duties, etc.

As for Excel - Excel is a poor instrument for doing the accounting, therefore it shall not be used ... unless you have some kind of micro/nano business.

I do not want to sound negative, but this post is complete water...

What you need is:

- understand your numbers, which requires knowledge, brain and a bit of experience;

- accurate numbers, which shall be output by accounting.

You can prepare P&L forecast for $50-100M business on one piece of paper, if needed. Excel just makes things more efficient.