Environment setup for CherryPy Last Updated : 26 Mar, 2020 Summarize Comments Improve Suggest changes Share Like Article Like Report CherryPy is a popular framework of Python. Using CherryPy, web applications can be built in a faster and more reliable way. It is also called a web application library. It is known for its simplicity as it is based on object-oriented Python programming, resulting in smaller source code in less time. Note: For more information, refer to Introduction to CherryPy. Requirements CherryPy does not have any env requirements. The common Python package managers such as setup tools or pip automatically install all the Python-based distribution requirements. But the basic requirements are: Python 3.5 through to 3.8. CherryPy version 3.0 How to install It is very easy to install CherryPy. Just like other libraries, CherryPy can be easily installed through pip. 1. Using easy install: $ easy_install cherrypy 2. Using pip: $ pip install cherrypy 3. Using Github: $ git clone https://github.com/cherrypy/cherrypy $ cd cherrypy $ python setup.py install Apart from downloading, these methods will also build and install CherryPy globally to your python environment. Test your installation Once you have deployed the CherryPy package, you may test your installation by executing simple tutorials provided by CherryPy. One such tutorial is of simple Hello World. Execute the following code: python -m cherrypy.tutorial.tut01_helloworld After execution, you will see something like this on your browser: Now, point your browser at http://127.0.0.1:8080 . You will see the following output on executing the basic tutorial. Comment More infoAdvertise with us Next Article How to setup Conda environment with Jupyter Notebook ? T tanishkagupta1 Follow Improve Article Tags : Python Web Technologies python-modules Practice Tags : python Similar Reads Python Falcon - Environment Setup Falcon is a Python library renowned for its proficiency in crafting indispensable REST APIs and microservices. Capable of accommodating both the WSGI (Web Server Gateway Interface) and ASGI (Asynchronous Server Gateway Interface) standards, Falcon has gained widespread recognition since its inceptio 3 min read Lua Environment Lua is a lightweight and flexible scripting language that is easy to integrate into applications. It is commonly used in game development, web applications, and embedded systems. Lua can be extended with C or C++, making it a powerful tool for developers.To start writing and executing Lua scripts, i 4 min read How to setup Conda environment with Jupyter Notebook ? Anaconda is open-source software that contains Jupyter, spyder, etc that are used for large data processing, data analytics, heavy scientific computing. Anaconda works for R and python programming language. Spyder(sub-application of Anaconda) is used for python. Opencv for python will work in spyder 2 min read Read Environment Variables with Python dotenv Environment variables play a crucial role in the configuration and operation of software applications. They provide a mechanism to store configuration settings that can be used by applications to function properly. This separation of configuration from code allows for more secure and flexible softwa 4 min read Environment Variables in Python Environment variables are key-value pairs that live in our system's environment. Python reads some of these variables at startup to determine how to behave, for example, where to look for modules or whether to enter interactive mode.If thereâs ever a conflict between an environment variable and a co 3 min read How to perform multiplication using CherryPy in Python? CherryPy also known as a web application library is a Python web framework that provides a friendly interface to the HTTP protocol for Python developers. It allows developers to build web applications the same way as in traditional object-oriented Python programs. Thereby, resulting in smaller sourc 2 min read Like