Data Science Tutorials

Understand how to copy lists in Python. Learn how to use the copy() and list() functions. Discover the difference between shallow and deep copies.

The if __name__ == "__main__" block in Python allows you to define code that will only run when the file is executed directly as a script, but not when it's imported as a module into another script.

Learn how to set up PyTorch’s torchchat locally with Python in this hands-on tutorial, which provides step-by-step guidance and examples.

Get started with Apple's DCLM-7B large language model and learn how to set it up, use it, and fine-tune it for specific tasks.

Learn about QR decomposition, the matrix factorization technique that decomposes matrix A into the product of an orthogonal matrix Q and an upper triangular matrix R.

Learn how to use SQL triggers to automate tasks, maintain data integrity, and enhance database performance. Try practical examples like the CREATE, ALTER, and DROP commands in MySQL and Oracle.

Learn how to round a number to two decimal places in Python using round(), f-strings, format(), the decimal module, NumPy, and more — with a method comparison table.

This tutorial discusses clustered column charts, why Excel is good for creating them, and how to create and customize clustered column charts in Excel.

Tiktoken is a fast BPE tokenizer developed by OpenAI, primarily used to count tokens for their large language models and ensure efficient text processing within specified limits.

Learn how to rename local and remote Git branches using either the terminal or the graphical user interface (GUI) of popular clients like GitHub.

Master the art of using VLOOKUP() with multiple criteria in Excel. Explore advanced techniques like helper columns and the CHOOSE() function.

Explore how to master hyperparameter tuning with Optuna. Learn how to define hyperparameters, set up your objective function, and utilize sampling and pruning techniques in deep reinforcement learning.