Advanced usage of Python requests - timeouts, retries, hooks
https://findwork.dev/blog/advanced-usage-python-requests-timeouts-retries-hooks/
https://findwork.dev/blog/advanced-usage-python-requests-timeouts-retries-hooks/
Scipy Lecture Notes
One document to learn numerics, science, and data with Python
https://scipy-lectures.org/index.html
One document to learn numerics, science, and data with Python
https://scipy-lectures.org/index.html
Weighted K-Means Clustering example - artificial countries
https://zerowithdot.com/weighted-k-means-clustering-example/
https://zerowithdot.com/weighted-k-means-clustering-example/
Zerowithdot
Weighted K-Means Clustering example - artificial countries
Application example of Weighted K-Means Clustering applied on world's population map to see what happens.
Using the Python defaultdict Type for Handling Missing Keys
https://realpython.com/python-defaultdict/
https://realpython.com/python-defaultdict/
Realpython
Using the Python defaultdict Type for Handling Missing Keys – Real Python
In this step-by-step tutorial, you'll learn how the Python defaultdict type works and how to use it for handling missing keys when you're working with dictionaries. You'll also learn how to use a defaultdict to solve problems like grouping or counting the…
PyGame: A Primer on Game Programming in Python – Real Python
https://realpython.com/courses/pygame-primer/
https://realpython.com/courses/pygame-primer/
Realpython
Make a 2D Side-Scroller Game With PyGame – Real Python
In this step-by-step course, you'll learn how to use PyGame. This library allows you to create games and rich multimedia programs in Python. You'll learn how to draw items on your screen, implement collision detection, handle user input, and much more!
Forwarded from Machinelearning
Neural Networks are Function Approximation Algorithms
https://machinelearningmastery.com/neural-networks-are-function-approximators/
https://machinelearningmastery.com/neural-networks-are-function-approximators/
MachineLearningMastery.com
Neural Networks are Function Approximation Algorithms - MachineLearningMastery.com
Supervised learning in machine learning can be described in terms of function approximation. Given a dataset comprised of inputs and outputs, we assume that there is an unknown underlying function that is consistent in mapping inputs to outputs in the target…
Introduction to Image Processing in Python with OpenCV.
https://stackabuse.com/introduction-to-image-processing-in-python-with-opencv/
https://stackabuse.com/introduction-to-image-processing-in-python-with-opencv/
Python Scope & the LEGB Rule: Resolving Names in Your Code – Real Python
https://realpython.com/python-scope-legb-rule
https://realpython.com/python-scope-legb-rule
Realpython
Python Scope & the LEGB Rule: Resolving Names in Your Code – Real Python
In this step-by-step tutorial, you'll learn what scopes are, how they work, and how to use them effectively to avoid name collisions in your code. Additionally, you'll learn how to take advantage of a Python scope to write more maintainable and less buggy…
How to use Pandas Scatter Matrix (Pair Plot) to Visualize Trends in Data
https://www.marsja.se/pandas-scatter-matrix-pair-plot/
https://www.marsja.se/pandas-scatter-matrix-pair-plot/
Erik Marsja
How to use Pandas Scatter Matrix (Pair Plot) to Visualize Trends in Data
In this post, we will use Pandas scatter_matrix to create pair plots in Python. There are 4 examples and a Jupyter Notebook to download.