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Learn Python
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⌨️ Python Quiz

What is the output of the following Python code? 🤔🚀
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⌨️ Python Quiz
Anonymous Quiz
28%
A
16%
B
23%
C
33%
D
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⌨️ Python Dictionary Methods
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⌨️ Reverse a List in Python
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⌨️ Python Quiz
Anonymous Quiz
33%
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39%
B
9%
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19%
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⌨️ Quick Python cheatsheet.
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🔅 Python: Working with Files

🌐 Author: Kathryn Hodge
🔰 Level: Intermediate

Duration: 1h 41m

🌀 Learn how you can use Python to automate operating system tasks, aggregate data across multiple sources, save results to files, and level up your Python applications.


📗 Topics: File Handling, Python

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Ex_Files_Python_Working_with_Files.zip
90.1 MB
📦 Exercise Files
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🔅 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.zip
201 MB
📱Learn Python
📱Python Functions for Data Science
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Ex_Files_Python_Data_Functions.zip
37 KB
📦 Exercise Files
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⌨️ Powerful One-Liners in Python
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🔅 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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Ex_Files_Python_Predictive_Analytics.zip
138.2 KB
📦 Exercise Files
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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
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⌨️ Roadmap to Become Data Scientist
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🔅 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.zip
255.9 MB
📱Learn Python
📱Python Object-Oriented Programming
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