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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Telegram’s stand out feature is its encryption scheme that keeps messages and media secure in transit. The scheme is known as MTProto and is based on 256-bit AES encryption, RSA encryption, and Diffie-Hellman key exchange. The result of this complicated and technical-sounding jargon? A messaging service that claims to keep your data safe.Why do we say claims? When dealing with security, you always want to leave room for scrutiny, and a few cryptography experts have criticized the system. Overall, any level of encryption is better than none, but a level of discretion should always be observed with any online connected system, even Telegram.
The S&P 500 slumped 1.8% on Monday and Tuesday, thanks to China Evergrande, the Chinese property company that looks like it is ready to default on its more-than $300 billion in debt. Cries of the next Lehman Brothers—or maybe the next Silverado?—echoed through the canyons of Wall Street as investors prepared for the worst.
