Tux Machines
Posted by Roy Schestowitz on Jul 12, 2023
=> FreeBSD Dev Summit and BSDCan, PGDay UK, and More | Gemini Articles of Interest
=> ↺ Some recent Programming-y and Linux-y comic strips
Like, you know, about Python and compiler warnings and stuff.
=> ↺ Dirk Eddelbuettel: RcppSpdlog 0.0.14 on CRAN: Upstream Update
Version 0.0.14 of RcppSpdlog is now on CRAN and has just been uploaded to Debian. RcppSpdlog more at the nice package documention site.
=> ↺ RcppSpdlog | ↺ CRAN | ↺ RcppSpdlog | ↺ package documention
=> ↺ RcppSpdlog | ↺ CRAN | ↺ RcppSpdlog | ↺ package documention
=> ↺ Robert Kaiser: Integrating Magento 2 Shop With FreeFinance and Custom Merchandise Management
=> ↺ 15 Open-source Flutter App Starters For Your New Project
Flutter is a mobile app development framework created by Google. It allows developers to build high-quality apps for iOS and Android using a single codebase. Flutter has gained popularity in recent years due to its ease of use, fast development cycle, and strong community support.
=> ↺ Michael Ablassmeier: Java timezone sheanigans
While running CI tests for a application that is implemented in C and Java, some configuration scripts set the current timezone. The C implemented parts catch the change just nicely, but the java related parts still report the default image timezone.
=> ↺ How to Overwrite a File in Python
Python, a versatile and powerful programming language, offers a plethora of methods for manipulating files. One such operation is overwriting a file, which involves replacing the existing data with new information. This guide will delve into the various methods Python provides to overwrite a file, offering a detailed explanation and examples for each.
=> ↺ How to Get a Position of Element in Python?
In Python, various functions/methods, such as the “index()”, and “find()” methods are used for getting the exact position of an element.
In Python, the “seaborn.catplot()” method of the “seaborn” module is used to create a variety of categorical plots, including strip plots, swarm plots, etc.
=> ↺ Pandas Get Most Frequent Value
To get the most frequent value in pandas, use the panda series “mod()” method or the “value_counts()” method followed by “idxmax()” method.
In Python, the “seaborn.regplot()” method of the “seaborn” module takes the “Datasets” and draws/constructs the regression plot.
The “scipy.integrate.tplquad()” method is used to perform triple integration of simple to complex functions over a range of variables in Python.
The “time.sleep()” method of the “time” module is used in Python to suspend the execution of the current thread for a given number of seconds.
In Python, the inbuilt “bytearray()” method is utilized to retrieve a bytearray object which is an array of specified bytes.
=> ↺ Python Datetime: Your Guide to Date and Time Manipulation
Python, a versatile and powerful programming language, offers a wide array of modules to handle different tasks. One such module is the datetime module, designed to manipulate dates and times.
=> ↺ How to Calculate a Percentage in Python
Python, a versatile and robust programming language, offers a plethora of methods to perform mathematical operations, including the calculation of percentages. This article aims to provide an in-depth guide on how to calculate percentages in Python, with a focus on simplicity and clarity.
=> ↺ Understanding Python String Concatenation
Python, a dynamic and versatile programming language, is celebrated for its powerful string manipulation capabilities. Among these, string concatenation—a fundamental operation in Python—stands out as a critical skill for developers. This comprehensive guide offers an in-depth exploration of Python’s string concatenation techniques, providing you with the knowledge to join strings in your code seamlessly.
=> ↺ Understanding Matplotlib Log Scale in Python
Matplotlib, a Python library, is a powerful tool in the field of data visualization. Among its many capabilities is the ability to plot data on a logarithmic scale, a feature that is particularly useful when dealing with data that spans several orders of magnitude.
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