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01. MatPlotLib for Machine Learning. "plot" Function - Part One.

December 16, 2025 at 7:54 PM

Intuidemy

@intuidemy.bsky.social

NumPy: Boolean Masking in NumPy.
Filter, select, and modify array elements using conditions; no loop needed. Intuidemy YouTube Channel: www.youtube.com/@Intuidemy

December 13, 2025 at 6:50 PM

Intuidemy

@intuidemy.bsky.social

Part One. Learn how to use the "plot" function to create 2D line plots and draw lines with points (markers) with various formatting.
youtu.be/4G-c-gk-UEg

08. Testing in Python: Pytest "spec" and "autospec" Parameters - Part One.

December 11, 2025 at 9:19 PM

Intuidemy

@intuidemy.bsky.social

Part One. Learn about the "spec" and "autospec" parameters, which are options that help ensure your mock objects mimic the behavior of the objects they are replacing.
youtu.be/0g_60hIqd44

NumPy: "np.sum" and "np.prod": How Do They Deal with NaNs?

December 8, 2025 at 6:53 PM

Intuidemy

@intuidemy.bsky.social

NumPy: "np.sum" and "np.prod": How Do They Deal with NaNs?
youtube.com/shorts/SCZ2-...

16. Pandas for Machine Learning. Pandas Statistic Methods - Part Five.

December 2, 2025 at 8:08 PM

Intuidemy

@intuidemy.bsky.social

Learn how to split data into groups based on one or more keys, apply functions to each group, and then combine the results, using the "groupby" method.
youtu.be/36WJkfH7404

07. Testing in Python: Pytest "side_effect" Method - Part Two.

November 30, 2025 at 7:24 PM

Intuidemy

@intuidemy.bsky.social

Part Two. The side_effect attribute of a Mock or MagicMock object is a powerful tool for controlling how a mocked object behaves when called.
youtu.be/KZoxGwP8xSE

NumPy: Maximum Number in Two Arrays: np.fmax - Part Three.

November 28, 2025 at 9:25 PM

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@intuidemy.bsky.social

NumPy: Maximum Number in Two Arrays: np.fmax - Part Three.
youtube.com/shorts/u7f4r...

15. Pandas for Machine Learning. Pandas Statistic Methods - Part Four.

November 26, 2025 at 6:37 PM

Intuidemy

@intuidemy.bsky.social

Learn how to drop duplicates using the "drop_duplicates" method. Also, learn how to get the count of the values in a DataFrame, using "value_counts" method.
youtu.be/1U7qAnTbX6w

06. Testing in Python: Pytest "side_effect" Method - Part One.

November 24, 2025 at 6:56 PM

Intuidemy

@intuidemy.bsky.social

Part One. The side_effect attribute of a Mock or MagicMock object is a powerful tool for controlling how a mocked object behaves when called.
youtu.be/amb8x0CDsj8

NumPy: Maximum Number in an Array: np.nanmax - Part Two.

November 22, 2025 at 7:06 PM

Intuidemy

@intuidemy.bsky.social

NumPy: Maximum Number in an Array: np.nanmax - Part Two.
youtube.com/shorts/I8TjV...

14. Pandas for Machine Learning. Pandas Statistic Methods - Part Three.

November 20, 2025 at 7:50 PM

Intuidemy

@intuidemy.bsky.social

Learn about the difference between quantiles and percentiles, and how to use the Pandas "quantile()" method.
youtu.be/C6yqCpP_l6o

05. Testing in Python: Pytest "mocker.MagicMock" Object.

November 18, 2025 at 7:48 PM

Intuidemy

@intuidemy.bsky.social

A common challenge in software development is testing code that interacts with external services. This video will explore a streamlined approach to isolating and testing such dependencies, using the mocker.MagicMock Object.
youtu.be/UXPhU4clGZA

Difference between np.max, np.amax, and np.maximum.

November 15, 2025 at 6:43 PM

Intuidemy

@intuidemy.bsky.social

Difference between np.max, np.amax, and np.maximum.
youtube.com/shorts/tUuhU...

13. Pandas for Machine Learning. Pandas Statistic Methods - Part Two.

November 12, 2025 at 9:58 PM

Intuidemy

@intuidemy.bsky.social

Part Two. This video provides a practical guide to leveraging Pandas' capabilities for making statistically sound conclusions from your datasets. You will learn about variance, standard deviation, minimum, and maximum methods.
youtu.be/bhw4aQaMtMY

04. Testing in Python: Pytest "mocker.Mock" Object - Part Two.

November 10, 2025 at 3:09 PM

Intuidemy

@intuidemy.bsky.social

Part Two. A common challenge in software development is testing code that interacts with external services. This video will explore a streamlined approach to isolating and testing such dependencies, using the mocker.Mock Object.
youtu.be/SchH5pboGtE

NumPy Tips: Broadcasting.

November 6, 2025 at 5:58 PM

Intuidemy

@intuidemy.bsky.social

NumPy Tips: Broadcasting, Vectorized Operations.
youtube.com/shorts/t9RJr...

12. Pandas for Machine Learning. Pandas Statistic Methods - Part One.

November 3, 2025 at 11:13 PM

Intuidemy

@intuidemy.bsky.social

Part One. This video provides a practical guide to leveraging Pandas' capabilities for making statistically sound conclusions from your datasets.
youtu.be/npYLxagRvWE

03. Testing in Python: Pytest "mocker.Mock" Object - Part One.

November 1, 2025 at 7:41 PM

Intuidemy

@intuidemy.bsky.social

Part One. A common challenge in software development is testing of code that interacts with external services. This video will explore a streamlined approach to isolating and testing such dependencies, using the mocker.Mock Object.
youtu.be/ujlJsbe0L2E

11. Pandas for Machine Learning. Pandas DateTime Manipulating.

October 27, 2025 at 8:08 PM

Intuidemy

@intuidemy.bsky.social

A comprehensive understanding of time series analysis within the Pandas framework is provided. Key techniques for manipulating and analyzing date and time data are explored.
youtu.be/VSTdj2Cd9Qo

02. Testing in Python: Pytest Mocking - Part Two.

October 24, 2025 at 5:40 PM

Intuidemy

@intuidemy.bsky.social

Part Two. Complex object patching with Pytest will be explored, providing a deeper understanding of advanced testing methodologies. Viewers will be equipped with the knowledge to handle intricate mocking scenarios in their Python projects.
youtu.be/pQrfs8fyItg

10. Pandas for Machine Learning. Pandas Data Manipulating & Analyzing - Part Four.

October 20, 2025 at 8:02 PM

Intuidemy

@intuidemy.bsky.social

Part Four. An often-challenging aspect of data manipulation is addressed. The process of transforming data into an analysis-ready format is demonstrated.
youtu.be/dcsdh54AlC0

01. Testing in Python: Pytest Mocking - Part One.

October 16, 2025 at 9:08 PM

Intuidemy

@intuidemy.bsky.social

Part One. Complex object patching with Pytest will be explored, providing a deeper understanding of advanced testing methodologies. Viewers will be equipped with the knowledge to handle intricate mocking scenarios in their Python projects.
youtu.be/X1939taOEZQ

09. Pandas for Machine Learning. Pandas Data Manipulating & Analyzing - Part Three.

October 11, 2025 at 4:33 PM

Intuidemy

@intuidemy.bsky.social

Part Three.
An often-challenging aspect of data manipulation is addressed. The process of transforming data into an analysis-ready format is demonstrated.
youtu.be/lovOH-sIUQg

03. Testing in Python: Pytest Hook Functions - Part Two.

October 7, 2025 at 6:52 PM

Intuidemy

@intuidemy.bsky.social

Part 2. The execution flow of tests can be manipulated and intercepted using Pytest hook functions. An engaging exploration of these powerful features is provided, enabling a deeper understanding of test customization.
youtu.be/wpwZtxCXHuo