How to use nested progress bars with tqdm in Python

In this post, I will show you how to use nested progress bars with tqdm in Python, a popular library for displaying progress information in loops. This can be useful when you have a loop inside another loop, and you want to monitor the progress of both loops. The problem Suppose you have a code… Continue reading How to use nested progress bars with tqdm in Python

Installing and Configuring Apache Superset on Ubuntu Linux

To install and configure Apache Superset on Ubuntu Linux, you can follow these steps: Source: Create a Virtual Environment: It is recommended to install Superset inside a virtual environment. You can create and activate a virtual environment using the following commands: Source: Install Apache Superset: Once the virtual environment is activated, you can install Apache… Continue reading Installing and Configuring Apache Superset on Ubuntu Linux

How to install Apache Airflow on Ubuntu using terminal

To install Apache Airflow on Ubuntu, follow these steps: Bash Use code with caution. Learn more Bash Use code with caution. Learn more Bash Use code with caution. Learn more Bash Use code with caution. Learn more Bash Use code with caution. Learn more Bash Use code with caution. Learn more Bash Use code with… Continue reading How to install Apache Airflow on Ubuntu using terminal

non-linear regression

To calculate non-linear regression in Python, you can use the scipy.optimize.curve_fit() function. This function takes a non-linear function and a set of data points, and returns the parameters of the function that best fit the data. To use curve_fit(), you first need to define a function that represents your non-linear model. This function should take… Continue reading non-linear regression

f1-score in knn

The F1-score is a metric used to evaluate the performance of a classification model. It is the harmonic mean of the precision and recall of the model. Precision is the fraction of positive predictions that are actually correct, while recall is the fraction of actual positives that are correctly predicted. The F1-score is a good… Continue reading f1-score in knn

XGBoost to optimize the budget division and maximize the sales for each vendor product

we have a list of vendor-products with vendor discounts, and the historical data that shows each products with how much total discount sold in each vendor and vendor area, we have a limited budget to add on top to vendor discounts to sell the product better. please write a python code to optimize the budget… Continue reading XGBoost to optimize the budget division and maximize the sales for each vendor product

how to use data analytics in marketing insight

According to 1, data analytics can help improve decision making, marketing effectiveness, customer service and operational efficiency by providing insights into customer behavior, preferences, needs and expectations. Some of the ways to use data analytics in marketing insight are: data analysis can help Qcommerce companies to: some of the companies that use data analysis are:

polars join is so slow

If the join operation using polars is slow, there are some additional things you can try to improve performance: join_par is a method in Polars that performs a parallel join operation. Here’s how you can use it: The join_par method takes two arguments: the second dataframe to join and the join keys. In the example… Continue reading polars join is so slow