That's a wrap! If you interested in: – Python – ML/MLOps – CV/NLP – LLMs – AI Engineering Find me → @akshay_pachaar Everyday, I share tutorials on above topics! Cheers!!
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Pandas vs NumPy: Bessel’s Correction in Statistical Computing
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Pandas considers data to be a sample of a larger population, so to obtain an unbiased result, it uses n-1 instead of n as the divisor. This is referred to as Bessel's correction in statistics. On the other hand, NumPy makes no such correction Read more:
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Pandas vs NumPy Standard Deviation Calculation Differences
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Pandas & NumPy return different values of standard deviation! Wondering why Read more…
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PR Merged Successfully Code Running Production
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PR getting merged and code running on my machine.
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Automating Boring Tasks Using Python Programming
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@driscollis Automating Boring Stuff using Python
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JavaScript Learning Journey: Three Years of Continuous Development
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still learning javascript, not ending from last 3 years.
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Master Python Basics and Explore Its Diverse Applications
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Explore The tutorials/documentation will give you a start to Python. After clearing the basics, DON'T STOP THERE. Make full use of it and explore various fields in which Python can be implemented.
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Find Your Python Specialization in AI and Automation
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Find your Interest Python has a very vast implementation: -Automation -Data Science -Machine Learning -Web Development -Virtual Chatbots -etc Never get into a field just because everyone is doing that, try to find the best field for you and GIVE YOUR 100% in it.
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Learn Programming Through Practical Projects Implementation
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Make Projects Try to implement the basic things you have learned practically by doing a simple project. Even if you have learned only the If-else loop, you can do a project like a quiz, etc.
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Master Programming Basics Through Hands-On Implementation Practice
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Do Basic Things First Never skip the basics part. I know you know the logic of swapping two numbers already. But believe me, hands-on implementation in a different language will familiarize you with the syntax without learning it.