🔅 Python Functions for Data Science

🌐 Author: Lavanya Vijayan
🔰 Level: Intermediate

⏰ Duration: 1h 30m

🌀 Save time, and make your code more readable and reusable, by learning the most powerful Python functions for data science.

📗 Topics: Data Analysis, Python

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📱Python Functions for Data Science

🔅 Python: Working with Predictive Analytics

🌐 Author: Isil Berkun
🔰 Level: Advanced

⏰ Duration: 1h 17m

🌀 Find out how to use prebuilt Python libraries for predictive analytics and discover insights about the future.

📗 Topics: Predictive Analytics, Python

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📱Python: Working with Predictive Analytics

Welcome to our Development Pack! 🚀

If you're interested in web development, mobile development, machine learning, or even ChatGPT, you're in the right place.

You'll find channels for everything, starting with the famous Python 🐍 and JavaScript, and finishing with React, Next.js, AutoCAD, and SolidWorks. We also cover databases, Linux 🐧, ethical hacking, cybersecurity, finance and marketing, crypto tutorials, and many more. 🌟

📱 Development Pack

⌨️ Roadmap to Become Data Scientist

🔅 Python Object-Oriented Programming

🌐 Author: Joe Marini
🔰 Level: Intermediate

⏰ Duration: 1h 55m

🌀 Learn how to use the object-oriented features of Python, including magic methods and data classes, to write more efficient and effective code.

📗 Topics: Python, Object-Oriented Programming

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📱Python Object-Oriented Programming

⌨️ Python Libraries For Data Science

⌨️ Python Tip.

Normally we use Square brackets to access a dictionary value using it's key.

To perform the above operation we can also make use of python get method, which returns None if the input key is not part of given dictionary.
This will save you from run time error (KeyError) if the key is not found and also you don't need to do extra coding to deal with unidentified keys.

⌨️ Piechart using matplotlib in Python