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Python Requests Get Method

Practical guide on the different methods of request modules in Python to use the HTTP request to obtain the data from a given URL using six different examples.

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Python List insert() Method

A list element is added to the list at the particular index using the Python method “list.insert()”. This article discussed the Python List insert() method.

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Python Input() Function

Practical tutorial on how to take the user input values using Python’s input() method using the simplest demonstration to take a single value from the user.

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Numpy Amin Method

A guide on using the Numpy.amin() function and its syntax, parameters, and return values that taught us to implement Python Numpy programs using this function.

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NumPy Zip

The NumPy zip() function is used to zip the variables together in an object or container. This function works with multiple iterable objects or containers.

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NumPy Subtract

This guide is about the NumPy subtract() method, how it works, and when it is used. We also covered the syntax, and parameters of the subtract() function.

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Numpy Replace Method

In this guide, we learned about the numpy.char.replace function of python’s NumPy. We explained what the purpose of the replace function is.

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Numpy Logical_AND

This article have discussed how easily we can perform logical operations on our arrays with the help of the np.logical_and() function of numPy.

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Numpy Linalg Norm

This tutorial was created to review Numpy linalg norm. We have provided details about the Python function numpy.linalg.norm() to find a matrix or vector norm.

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Numpy Inverse Matrix

We have discussed how we can take the inverse of complex matrices with the help of the linalg module of NumPy by using simple to complex examples.

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Python 3.11 Released! How to Install in Ubuntu 22.04 | 20.04 | 22.10

The popular Python programming language released version 3.11 today. Here’s the new features and how to install guide for all current Ubuntu releases. Python 3.11 claimed to be 10-60% faster than the previous 3.10, and features: Exception Groups and except* to raise and handle multiple unrelated exceptions simultaneously. Add add_note() method to BaseException to enrich […]

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10 Best Python Books for Experienced Programmers

This article presented a short introduction to the 10 best Python books for experienced programmers with their buying links.

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5 Best Python IDEs and Code Editors

Here’s the latest list of best Python Editors for Linux (and other OSes) that can give a kick-start to your Python development journey.
The post 5 Best Python IDEs and Code Editors appeared first on Linux Today.

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How to Install Django with Apache on Ubuntu 22.04

Django is a Python-based full-stack framework. In this tutorial, users can learn how to install Django with Apache on Ubuntu 22.04.
The post How to Install Django with Apache on Ubuntu 22.04 appeared first on Linux Today.

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How to Install Python Pip on Ubuntu 22.04

Pip is a Python package manager used to install and manage project dependencies. Learn how to install Python Pip on Ubuntu 22.04 here.
The post How to Install Python Pip on Ubuntu 22.04 appeared first on Linux Today.

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Fibonacci Numbers in Python Language

Fibonacci numbers are a particular sequence of whole numbers (positive integers). It begins with 0, fol-lowed by 1 unconditionally.

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Unpatched Python Library Affects More Than 300,000 Open-Source Projects

Trellix security researchers have revealed a major vulnerability in the Python tarfile library that could be exploited in software supply chain attacks. The researchers believe it could be used against organizations at scale, which could lead to attack…

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Pandas to Dictionary

In Python, the “DataFrame.to_dict()” method of the “pandas” module is used to convert the specified Pandas DataFrame to Dictionary.

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Pandas str Replace

In Python, the “Series.str.replace()” method is utilized to replace the Series or index pattern/regex occurrences with another specified string.

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Pandas Standard Deviation

The “DataFrame.std()” method of the “pandas” module is used to compute the standard deviation of the specified DataFrame over the requested axis.

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