The solution is that we have an unlimited amount of individual environments on our single computer by using the so-called virtual environments, we can create separate environments for each purpose of the Python application. In general, the issue is that you only have one computer in the end, so the best thing would be to use individual computers for your Python installation with all the required packages. Supposed that you also might use different versions of Python itself for example, you might use Python 2 for other Tkinter projects and Python 3 for a different project, so you have these different versions, and these versions might fall into trouble if you are working with the same environment. Why would we need Flask if we want to create a GUI application? These packages are not related because they have different purposes.
#Anaconda prompt install nbexport how to#
This tutorial demonstrates why we use conda, how to install Tkinter with conda, and how we can specifically use the virtual environment in connection with conda.
This can cause some problems or at least inconveniences, for that we can use the so-called virtual environments in Python. The problem might be that you don’t have one project, but multiple projects for multiple purposes, and all these packages are installed globally on your machine. If you did your first steps in Python, you probably used packages because Python is a language you can use for anything, so we need these packages to develop different applications in Python according to our needs. Conda Installation and Virtual Environment in Python.
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