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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That strategy is the acquisition of a value-priced company by a growth company. Using the growth company's higher-priced stock for the acquisition can produce outsized revenue and earnings growth. Even better is the use of cash, particularly in a growth period when financial aggressiveness is accepted and even positively viewed.he key public rationale behind this strategy is synergy - the 1+1=3 view. In many cases, synergy does occur and is valuable. However, in other cases, particularly as the strategy gains popularity, it doesn't. Joining two different organizations, workforces and cultures is a challenge. Simply putting two separate organizations together necessarily creates disruptions and conflicts that can undermine both operations.
Dump Scam in Leaked Telegram Chat
A leaked Telegram discussion by 50 so-called crypto influencers has exposed the extraordinary steps they take in order to profit on the back off unsuspecting defi investors. According to a leaked screenshot of the chat, an elaborate plan to defraud defi investors using the worthless “$Few” tokens had been hatched. $Few tokens would be airdropped to some of the influencers who in turn promoted these to unsuspecting followers on Twitter.
