If you want to run a Python program on a Windows system without installing Python, you can convert it into a standalone EXE file using PyInstaller. PyInstaller bundles a Python application and all its dependencies into a single package, including the Python interpreter. Prerequisites: Here are the steps to convert your Python script into a […]
Convert Python Script to .exe File (Standalone) Using PyInstaller Read More »
Organizing your routes into different files can greatly improve the structure and maintainability of your Flask application, especially as it grows larger. Flask allows you to define routes in separate Python modules and then import those modules into your main Flask application. Here’s a basic example of how you can do this: Here’s a simplified
How to organize your Flask apps using Blueprints Read More »
To remove the outline or border that appears when a button is clicked in Bootstrap, you can use custom CSS to override the default Bootstrap styles. You can set the outline property to none or 0 for the specific elements you want to modify. Here’s how you can do it: or there are built-in boostrap
How to remove the border when a button is clicked in Bootstrap Read More »
Ensuring MongoDB restarts automatically after a system reboot guarantees continuous availability of your database service. Below are the steps to configure this for various Linux distributions: Ubuntu / Debian / CentOS / RedHat 1. Install MongoDB (if not already installed) Refer to the official MongoDB documentation for detailed installation instructions for supported Linux distributions: Install
How to restart MongoDB automatically whenever the server / system reboots? Read More »
This error typically occurs in Python when you’re trying to evaluate the truth value of a NumPy array with more than one element in a boolean context, like an if statement or a while loop. Here’s what each option means: To fix the error, you need to specify whether you want any or all elements
A “ValueError: setting an array element with a sequence” typically occurs in Python when you’re trying to assign a sequence (like a list or another array) to an element of a NumPy array that expects a single value. For example, let’s say you have a NumPy array arr and you’re trying to set one of
ValueError: setting an array element with a sequence in Numpy [Fixed] Read More »
In NumPy, arrays can be made immutable by setting their flags to read-only. This prevents any modifications to the array’s data. Here’s how you can create an immutable NumPy array: Once the array’s write flag is set to False, any attempt to modify its data will result in an error. This is useful when you
How can I create an immutable NumPy array in Python? Read More »
Duplicate data is a common issue encountered when working with datasets in data analysis and machine learning tasks. These duplicates can skew analysis results and lead to inaccuracies in models. Fortunately, Pandas provides a convenient method called drop_duplicates() to easily identify and remove duplicate rows or elements from DataFrames and Series. In this article, we
TypeError: unhashable type: ‘numpy.ndarray’ The error you’re encountering, unhashable type: ‘numpy.ndarray’, indicates that you’re trying to use drop_duplicates on a column containing NumPy arrays, which are unhashable. You need to convert the arrays into hashable types before using drop_duplicates. Here’s how you can achieve that: This will correctly drop duplicates based on the ‘A’ column,
drop_duplicates unhashable type: ‘numpy.ndarray’, ‘set’ and ‘list’ in Pandas Read More »
TypeError: unhashable type: ‘list’ The error message TypeError: unhashable type: ‘list’ typically occurs when you’re trying to use a list as a key in a dictionary or as an element in a set. Lists are mutable objects in Python, which means their contents can be changed after they are created. As a consequence, they are
TypeError: unhashable type: ‘list’ when using built-in set function [Fixed] Read More »