Increasing your productivity requires taking important steps to create a good development environment. Python has many features besides just writing code, like testing, debugging, managing various packages and environments, version control, and numerous more boilerplate-heavy tasks that might not be entirely clear. A Python IDE like PyCharm, which has many features like easy-to-use debugging tools, syntax highlighting, automatic indentation, etc., will enable you to concentrate on the development process by taking care of the rest for you.

Benefitting Features of the Editor
‌There are certain goals that the developers of PyCharm wanted to fulfill through this IDE with two key principles of increasing productivity and improving real-time aid or assistance. By eliminating the tedious, unoriginal portions of Python programming, PyCharm makes it simpler for data scientists to concentrate on developing their models. Additionally, PyCharm provides data scientists with various sophisticated features to address inconsistencies by, among other essential features, examining logic in real-time for errors, PEP 8 coding styles, and proposing rapid changes. These two basic characteristics of PyCharm provide the users following helpful features as given below.
Intelligent coding support: PyCharm makes coding easier by providing code-completion tools, syntax and error checking, and automatic code refactoring techniques.
Support for scientific computing: Pycharm has numerous features that make the work of data scientists more convenient by enabling scientific computing through IPython notes and interactive console capabilities.
Excellent Options for Web development: PyCharm supports important components like JavaScript and web development projects like Python web development frameworks. 
Streamlined programming tools: PyCharm makes it easier for data scientists to manage, debug, and test their code by offering numerous programming and analysis tools.
In the end, all these features of PyCharm contribute to enhancing the real-time support as well as the productivity of the workflow. 

PyCharm - Introduction
There are many good Python editors out there to provide you with an easy coding interface. PyCharm is a popular and widely used IDE for Python that can help you learn and hone your Python skills. It has superb code completion and inspection capabilities, an advanced debugger, support for web programming, and support for a number of frameworks, among other great features. Jet Brains, a Czech firm specializing in building integrated development environments for different web development languages, including PHP and JavaScript, was behind the creation of this Python IDE. Now, if you are wondering about getting started with your PyCharm journey, we have you covered. This tutorial will walk you all the way through creating a basic Python project on PyCharm, starting right from its installation and setup. 

This PyCharm tutorial has been particularly created for Python developers who want to learn how to use an IDE that includes a full set of tools for executing, debugging, and creating projects in different Python frameworks. Nevertheless, this tutorial is open to eager learners who have a basic understanding of any IDE.  However, before getting started with this PyCharm tutorial, do not forget to check out the prerequisites for this tutorial. 

Pre-requisites: 
You must have a basic understanding of the most widely used Python IDE, NetBeans, or any other popular IDE. Before continuing with this tutorial, if you are a newbie, you are advised to read tutorials on relevant topics like IDE, Python, etc., first.

System Requirements 
You must make sure your hardware complies with the necessary technical requirements to install and run the software before moving forward with the PyCharm IDE installation process. The list of specifications that a system on which PyCharm is getting installed must meet is posted on the JetBrains website. However, just to name a few, your system must fulfill the following criteria:

• The system has 4 GB or more of RAM. More specifically, it is recommended to have a RAM of around 8 GB 
• 2.5 GB of disc space is required, plus 1 GB for caches.
• Pre-installed version of Python 2.7, 3 or higher versions