How to Install Nose 2 in Python on Windows? Last Updated : 23 Jul, 2025 Comments Improve Suggest changes Like Article Like Report Nose 2 is a successor of Nose package and is used for testing python applications. In this article, we will look into the process of installing Nose2 Package on Windows. Pre-requisites: The only thing that you need for installing the Scrapy module on Windows are: Python PIP or Conda (depending upon user preference)Installing Nose2 Package on Windows using Conda: If you want the installation to be done through conda, open up the Anaconda Powershell Prompt and use the below command: conda install -c conda-forge nose2 Note: The best way to install this module in conda is through coda-forge. Type y for yes when prompted. You will get a similar message once the installation is complete: Make sure you follow the best practices for installation using conda as: Use an environment for installation rather than in the base environment using the below command:conda create -n my-env conda activate my-envVerifying Nose2 Package Installation on Windows using Conda: To verify if Nose2 Package has been successfully installed in your system run the below command in Anaconda Powershell Prompt: conda list nose2 You'll get the below message if the installation is complete: Installing Nose2 Package on Windows using PIP: If you want the installation to be done through PIP, open up the command Prompt and use the below command: pip install nose2 You will get a similar message once the installation is complete: Verifying Nose2 Package Installation on Windows using PIP: To verify if the Nose2 package has been successfully installed in your system run the below command in Command Prompt: python -m pip show nose2 You'll get the below message if the installation is complete: Comment More infoAdvertise with us Next Article How to install Python on Windows? D ddeevviissaavviittaa Follow Improve Article Tags : How To Installation Guide how-to-install Similar Reads How to Install Nilearn in Python on Windows? Nilearn is an open-source library written purely in Python for quick and easy statistical learning on neuroimaging data. It provides statistical and machine learning tools with educational documentation and an open community. The Nilearn library is a cross-platform library for various operating syst 2 min read How to Install Eli5 in Python on Windows? Eli5 is an open-source and cross-platform Python library available for various operating systems including Windows, Linux, and macOS, written to easily and quickly debug machine learning classifier models to explain their predictions. It provides support for machine learning frameworks and packages 2 min read How to Install Gekko In Python on Windows? In this article, we will learn how to install Gekko in Python on Windows . GEKKO is a Python package for machine learning and optimization of mixed-integer and differential-algebraic equations. It is coupled with large-scale solvers for linear, quadratic, nonlinear, and mixed-integer programming (LP 2 min read How to install Python on Windows? Python is a high-level programming language that has become increasingly popular due to its simplicity, versatility, and extensive range of applications. The process of How to install Python in Windows, operating system is relatively easy and involves a few uncomplicated steps. This article aims to 5 min read How to Install openpyxl in python on windows It is common for data frames to be stored in excel files or as .csv files. Therefore, it is required for most programming languages to be equipped with utilities that allow the user to process such files. Openpyxl is a Python library for reading and writing Excel files with extensions like xlsx, xls 2 min read How to Install Fabric in Python on Windows? Fabric is a Python library used to execute shell commands remotely over SSH, yielding useful Python objects in return.. In this article, we will look into the process of installing the Fabric Library on Windows. Pre-requisites: The only thing that you need for installing the Scrapy module on Windows 2 min read Like