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âŒĻïļ 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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Python - Working with Files.zip
226 MB
ðŸ“ąLearn Python
ðŸ“ąPython: Working with Files
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Ex_Files_Python_Working_with_Files.zip
90.1 MB
ðŸ“Ķ 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
ðŸ“ąLearn Python
ðŸ“ąPython Functions for Data Science
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Ex_Files_Python_Data_Functions.zip
37 KB
ðŸ“Ķ Exercise Files
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âŒĻïļ 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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LinkedIn - Python - Working with Predictive Analytics.zip
217.6 MB
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ðŸ“ąPython: Working with Predictive Analytics
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Ex_Files_Python_Predictive_Analytics.zip
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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. 🌟

ðŸ“ą Development Pack
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âŒĻïļ 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
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ðŸ“ąPython Object-Oriented Programming
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âŒĻïļ Learn About Python List Methods
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Python Question / Quiz;

What is the output of the following Python code?
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Options:
Anonymous Quiz
43%
A
13%
B
29%
C
15%
D
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âŒĻïļ Python Libraries For Data Science
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âŒĻïļ 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.
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