Python для анализа данных

Python для анализа данных

Python для анализа данных Telegram | DID YOU KNOW?

Markets continued to grapple with the economic and corporate earnings implications relating to the Russia-Ukraine conflict. “We have a ton of uncertainty right now,” said Stephanie Link, chief investment strategist and portfolio manager at Hightower Advisors. “We’re dealing with a war, we’re dealing with inflation. We don’t know what it means to earnings.” On February 27th, Durov posted that Channels were becoming a source of unverified information and that the company lacks the ability to check on their veracity. He urged users to be mistrustful of the things shared on Channels, and initially threatened to block the feature in the countries involved for the length of the war, saying that he didn’t want Telegram to be used to aggravate conflict or incite ethnic hatred. He did, however, walk back this plan when it became clear that they had also become a vital communications tool for Ukrainian officials and citizens to help coordinate their resistance and evacuations. "We as Ukrainians believe that the truth is on our side, whether it's truth that you're proclaiming about the war and everything else, why would you want to hide it?," he said. Perpetrators of such fraud use various marketing techniques to attract subscribers on their social media channels. So, uh, whenever I hear about Telegram, it’s always in relation to something bad. What gives?
Python для анализа данных from jp

Python для анализа данныхЧат про применение Python для анализа данных, в особенности для различного рода автоматизации и аналитики.

Основной канал — @datalytx
В чате вакансии просьба не размещать. Канал с вакансиями — @data_hr. Для размещения вакансии пишите @ax_makarov

Open Telegram