Depending on who you ask, you will get a million different answers and suggestions. People will typically suggest what they've used, but what works for everyone varies.
#Python is a versatile and powerful programming language that is widely used in a variety of applications, from web development to data analysis and scientific computing. To get started with Python, you'll need a few key tools:
A development environment (IDE):
A development environment like #PyCharm (https://www.jetbrains.com/pycharm/) can be very helpful when working with Python. Development environments typically include features like code completion, debugging, and error checking, which can save you a lot of time and hassle. I like PyCharm because it takes a few of the nuisances out of coding in Python. For example: It automatically creates separate VENV's (Virtual Environments) for you to work in, on a per project basis. It lets you configure an interpreter with ease. It also gives you the option to write you import package statements and then automatically downloads the needed libraries in the background so that you can quickly progress in your development.
A version control system:
As you work on your Python projects, you'll want to keep track of changes to your code and collaborate with other people. A version control system like Git (https://git-scm.com/) allows you to do this. There are many Git clients available, including the command line version and GUI clients like GitHub Desktop (https://desktop.github.com/). However, my favorite at the moment is
Python libraries:
Finally, you'll want to have a few key libraries installed to help you with common tasks like data analysis, #WebDevelopment, and #MachineLearning. Some popular libraries include NumPy (http://www.numpy.org/) for scientific computing, Pandas (https://pandas.pydata.org/) for data analysis, and Flask (http://flask.pocoo.org/) for web development.
