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How to create a simple Notepad desktop application using Python and Tkinter

Python / May 10, 2024

In this blog post, we’ll explore how to create a basic Notepad desktop application using Python and Tkinter, Python’s built-in GUI toolkit. A Notepad application is a quintessential project for beginners in GUI programming. It provides a hands-on experience in building a simple yet functional desktop application. Additionally, it covers essential concepts such as user […]

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Convert Python Script to .exe File (Standalone) Using PyInstaller

Python / May 10, 2024

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

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How to organize your Flask apps using Blueprints

Python / May 10, 2024

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

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How to remove the border when a button is clicked in Bootstrap

Bootstrap / May 10, 2024

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

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How to restart MongoDB automatically whenever the server / system reboots?

VPS Server / April 20, 2024

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

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ValueError: The truth value of an array with more than one element is ambiguous. Use a.any() or a.all()

Python / April 20, 2024

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

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ValueError: setting an array element with a sequence in Numpy [Fixed]

Python / April 20, 2024

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

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How can I create an immutable NumPy array in Python?

Python / April 20, 2024

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

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How to remove duplicates from pandas array?

Python / April 16, 2024

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

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drop_duplicates unhashable type: ‘numpy.ndarray’, ‘set’ and ‘list’ in Pandas

Python / April 16, 2024

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,

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