How to Supercharge Your Python Classes with Class Methods

 How to Supercharge Your Python Classes with Class Methods | by Siavash Yasini | May, 2024 | Towards Data Science

As we just mentioned, a class method is a method that is bound to the class itself and not the instance of the class. This means it can change the state of the class such that it applies across all current or future instances of the class. A famous and practical example is when you want to create a singleton class. 

Singleton is a design pattern that allows you to constrain a class to only have one instance. Here’s an implementation:

And that’s the whole idea behind classmethods. They allow us to define methods in a class that are bound to the class itself, not its instances, therefore they allow us to modify the class behavior and make it more flexible.

pandas tricks

 a list of aggregation function for groupby:

min, max, mean, median, sum, count, std, var, size, describe, nuniaue, idxmax, idxmin.

df.groupby([‘airline’, ‘weekday’])[‘cancelled’,’diverted’].agg([‘sum’,’mean’]).head()

df.groupby([‘airline’, ‘weekday’])[‘cancelled’,’diverted’].agg({“dist”:[‘sum’,’mean’]).head()

pandas tricks

 df.style. highlight_max(axis=‘colums’)

CatBoost vs. LightGBM vs. XGBoost

 CatBoost vs. LightGBM vs. XGBoost | by Kay Jan Wong | Towards Data Science

 

What is a Generalised Additive Model?

What are Generalised Additive Models? | Towards Data Science

5.3 GLM, GAM and more | Interpretable Machine Learning (christophm.github.io)

pandas tricks

 df['count'].clip(lower=1, upper=10)

pandas tricks 3

 df.sort_values(["a","b","C", ascending=[True, False, True)

df.nlargest(10, 'a').nsmallest(5,"b)

pandas tricks 2

 df.select_dtypes(include=['int'])

df.select_dtypes(include=['number'])

df.selected_dytpes(include=['np.number'])

df.get_dtype_counts()

pandas tricks (1)

search column using filter: 

df.filter(like="good")

df.filter(regex="\d")

 

10 Python Decorators to Take Your Code to the Next Level

https://python.plainenglish.io/10-python-decorators-to-take-your-code-to-the-next-level-887eac41e2f4

 

CatBoost vs. LightGBM vs. XGBoost

https://towardsdatascience.com/catboost-vs-lightgbm-vs-xgboost-c80f40662924

xgboost

 https://www.datacamp.com/tutorial/xgboost-in-python

catboost tutorial

 https://www.analyseup.com/python-machine-learning/catboost-python-tutorial.html

MLOps-Tips and Tricks-75 Code Snippets MLOps and Data Engineering

 

MLOps-Tips and Tricks-75 Code Snippets

MLOps and Data Engineering

https://towardsdatascience.com/mlops-tips-and-tricks-75-code-snippets-b8f04036d0a0

5 Python Decorators I Use in Almost All My Data Science Projects

 5 Python Decorators I Use in Almost All My Data Science Projects | Towards Data Science

ChatGPT and Other Transformers: How to Select Large Language Model for Your NLP Projects

 ChatGPT and Other Transformers: How to Select Large Language Model for Your NLP Projects | by Alina Zhang | Feb, 2023 | Medium

Comparison among best Text to Image AI generation with examples

Comparison among bestText to Image AI generation 

 Here are some results for "every success starts from small steps"

1) Dalle E 2, https://openai.com/dall-e-2/

2) pixray, https://replicate.com/pixray/text2image

This website has the engineering feeling. It outputs training result while generating images. 

3:  DeepAI, https://deepai.org/machine-learning-model/cyberpunk-generator

4: fotor: https://www.fotor.com/features/ai-image-generator/

5) Night Cafe, https://creator.nightcafe.studio/my-creations

6)  Craiyon,(Formerly DALL-E Mini), https://www.craiyon.com/

7) StarryAI, https://starryai.com/app/my-creations

Their UI is a little crappy. It did not generate an image at my first try.

D3.js load error

 The error is:

Access to XMLHttpRequest at 'file:///D:/project/my_project/templates/data.csv' from origin 'null' has been blocked by CORS policy: Cross origin requests are only supported for protocol schemes: http, data, isolated-app, chrome-extension, chrome, https, chrome-untrusted.

1) Go to the developer tools (F12 in the browser), then select the three dots in the upper right corner, and go to Settings.

Then, look for Sources, and disable the options:

• "Enable JavaScript source maps"
• "Enable CSS source maps"

2) Disable AdBlock.

My chrome does not have settings as approach 1. 

The second approach works on my computer.

In terms of file folder and file path, check this youtube: https://www.youtube.com/watch?v=0XWyw4mbGEM

D3.JS tutorial

after playing with google Looker for my project, I decided to warm up my D3.js skill in case there is a need.

With D3.js and flask, we can build a beautiful website easily.

 https://d3-graph-gallery.com/about.html

Principles & Best practices of REST API Design

 https://blog.devgenius.io/best-practice-and-cheat-sheet-for-rest-api-design-6a6e12dfa89f