For the past two weeks, I have been attending Coursera training courses for Python. It’s a challenge for me as a GUI gourmand. As a fan of stunning graphical interfaces, I’ve always trusted things to work on the back end without understanding the rules behind them. Learning Python helped me understand the importance of precision in such a concise programming language. Kudos to all Python programmers.
Although getting the first diploma was challenging, I enjoyed learning such a well-readable language. Python allows so many possibilities and APIs. I am excited to employ it in my work, especially after this weekend’s lesson on scrapping and analysing internet data.
It would be gigantic if new wealth management clients could also count on a precise onboarding standard. With the automatic exchange of information, we could abolish the current AML regulations, which are difficult to programme. It should be up to the respective tax office to do plausibility checks on wealth increase and justify the source of funds to prevent tax evasion or other criminal offences.
Tax authorities, as the lowest common denominator, should help their taxpayers and the entire industry eliminate general AML suspicion coupled with non-standardised assessment procedures. You have the data on why I went on the Python Learning Journey.
Source: LinkedIn
