PYTHON FOR DATA SCIENCE: Guide to computer programming and web coding. Learn machine learning, artificial intelligence, NumPy and Pandas packages for data analysis. Step-by-step exercises included
✓ The basics of Python programming ✓ Differences among programming languages: Vba, SQL, R, Python ✓ 4 reasons why Python is fundamental for Data Science ✓ Introduction to some Python libraries like NumPy, Pandas, Matplotlib, ✓ Python design patterns ✓ Fit Python Data Analysis to your business ✓ Optimal tools and techniques for data visualization ✓ Analysis of popular Python projects templates ✓ Game creation with Pyhton
PYTHON FOR DATA SCIENCE: Guide to computer programming and web coding. Learn machine learning, artificial intelligence, NumPy and Pandas packages for data analysis. Step-by-step exercises included
✓ The basics of Python programming ✓ Differences among programming languages: Vba, SQL, R, Python ✓ 4 reasons why Python is fundamental for Data Science ✓ Introduction to some Python libraries like NumPy, Pandas, Matplotlib, ✓ Python design patterns ✓ Fit Python Data Analysis to your business ✓ Optimal tools and techniques for data visualization ✓ Analysis of popular Python projects templates ✓ Game creation with Pyhton
BY Python 🐍 Work With Data
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At a time when the Indian stock market is peaking and has rallied immensely compared to global markets, there are companies that have not performed in the last 10 years. These are definitely a minor portion of the market considering there are hundreds of stocks that have turned multibagger since 2020. What went wrong with these stocks? Reasons vary from corporate governance, sectoral weakness, company specific and so on. But the more important question is, are these stocks worth buying?
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.
