Python has many data types like integer, float, string, list, tuple, etc. In this tutorial, we will learn about the list data type. Lists are one of the most used data types of python and can be used for many …
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Python is an amazing programming language for most tasks such as web development, AI, automation, or any general programming. Working with files and folders is important because we have to use them to automate tasks or store data and various …
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In this tutorial, we will learn about the processing that can be done with numbers in python. To work with this tutorial, it is recommended to install the latest version of python. You can refer to our tutorial for installing the …
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Command-line applications are one of the oldest and most used types of apps. If you are an experienced Linux user, you may have hardly used GUI tools instead of command-line tools to do the same task. For example, Anaconda, the …
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Python is the fastest-growing programming language in the world. Major websites like Instagram, Pinterest, Quora, and many others are built using python’s Web Framework Django. The thing that makes python most popular is its simple syntax, which is similar to …
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The string is one of the most popular data types in python. We can use the string data type to store any kind of text data. In python, any character under single or double quotes is considered as strings. These …
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Finding hardware and system information in Linux is a handy and interesting task. We can extract Operating System details, user details, memory details, CPU details, and much more using simple python codes on Linux. Although we can perform many of …
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PIP is the standard package manager available in python. Although Python’s standard library comes with many useful packages by default, we are not limited to only those packages. In python, we have a vast repository of packages at PyPI, which …
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Logging is a crucial step to be performed by a programmer during software development. It helps developers to track events happening during the execution of a program, which can be helpful for the future debugging process. If you are a …
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Anaconda is an open-source platform for data scientists working with python or R programming languages. It works as both a package manager and an environment manager, and you can create virtual environments and install packages very easily using it.
