Data Analysis With Python A Modern ApproachSource Code by David Taieb.zip
Learn a modern approach to data analysis using Python to harness the power of programming and AI across your data. Detailed case studies bring this modern approach to life across visual data, social media, graph algorithms, and time series analysis.
Key Features + Bridge your data analysis with the power of programming, complex algorithms, and AI + Use Python and its extensive libraries to power your way to new levels of data insight + Work with AI algorithms, TensorFlow, graph algorithms, NLP, and financial time series + Explore this modern approach across with key industry case studies and hands-on projects
Data Analysis With Python A Modern ApproachSource Code by David Taieb.zip
Learn a modern approach to data analysis using Python to harness the power of programming and AI across your data. Detailed case studies bring this modern approach to life across visual data, social media, graph algorithms, and time series analysis.
Key Features + Bridge your data analysis with the power of programming, complex algorithms, and AI + Use Python and its extensive libraries to power your way to new levels of data insight + Work with AI algorithms, TensorFlow, graph algorithms, NLP, and financial time series + Explore this modern approach across with key industry case studies and hands-on projects
BY Python 🐍 Work With Data
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China’s stock markets are some of the largest in the world, with total market capitalization reaching RMB 79 trillion (US$12.2 trillion) in 2020. China’s stock markets are seen as a crucial tool for driving economic growth, in particular for financing the country’s rapidly growing high-tech sectors.Although traditionally closed off to overseas investors, China’s financial markets have gradually been loosening restrictions over the past couple of decades. At the same time, reforms have sought to make it easier for Chinese companies to list on onshore stock exchanges, and new programs have been launched in attempts to lure some of China’s most coveted overseas-listed companies back to the country.
In many cases, the content resembled that of the marketplaces found on the dark web, a group of hidden websites that are popular among hackers and accessed using specific anonymising software.“We have recently been witnessing a 100 per cent-plus rise in Telegram usage by cybercriminals,” said Tal Samra, cyber threat analyst at Cyberint.The rise in nefarious activity comes as users flocked to the encrypted chat app earlier this year after changes to the privacy policy of Facebook-owned rival WhatsApp prompted many to seek out alternatives.Python Work With Data from ms
