r is your monthly interest rate, derived from your annual interest rate divided by 12.The amortization formula can seem complex, but it's manageable when broken down. # pc.plotly(data=State.Knowing your principal and interest allows you to calculate amortization - here's how it works. Get_input_field('star', 'Interest Rate', ''), Get_input_field('star', 'Down Payment', ''), Get_input_field('star', 'Total Amount', ''), from pcconfig import configĭef get_input_field(icon: str, placeholder: str, _type:str): I’m going to show you the bare minimum code to get the frontend running, then we’ll add logic for the backend.Ĭopy and paste the following code into mortgage_calculator.py file, then type pc run in the terminal to start the app. I recommend checking out his YouTube if you are into webapp or mobile app development using Python. Part of the frontend user interface was inspired (read: copied) by one of his tutorials. While playing with pynecone, I came across a great YouTube channel called Line Indent. Let’s start with the frontend stuff since we can see the results immediately! Setting up the Frontend Pynecone will generate some default code inside the main script, we can delete everything and write our own code. It feels repeating but a lot of web dev frameworks do this so it’s quite common practice. In other words, the main script we need to edit is: The only file we need to edit is the mortgage_calculator.py inside the mortgage_calculator sub-folder. For starters, we don’ have to touch anything inside the. Inside our pynecone project folder “mortgage_calculator”, we should see the following files and folders structure. Once done, type pc run to start running the webapp. It will take a little time for pynecone to set up everything. We are going to create a mortgage calculator, so I’m going to create folder named “mortgage_calculator” by using mkdir, then cd into the folder and create/ initialize the project like the following: mkdir my_app_name Similar to most web development framework, we need to create a project using command line input that comes with the library installation. Pip install pynecone Starting a Pynecone Project We also don’t have to know JavaScript to use plotly, only Python □ Installing Libraries pip install plotly Under the hood, plotly uses JavaScript to create beautiful charts. You can make fully interactive graphs with it. Simply put, plotly is one of the best data visualization tools in Python. I think pynecone can improve this by adding better error messages.Īlthough the protagonist today is Pynecone, I still want to introduce Plotly, which also serves an important role in our application. It means that if something goes wrong, it might become difficult to debug without any frontend (HTML/CSS/JS) knowledge. This is actually tied to the advantage, which basically abstracts away all the frontend stuff. The other disadvantage is error message and debugging. The pynecone creators and community is aware of this issue and are currently working to improve it. It’s probably not an issue unless your webapp attracts a significant amount of traffic, which means for most websites it’s not an issue. Some users reported performance issues compared to a native React application. Pynecone is still in its infancy and many features are not mature. This cuts down development time significantly and it helps prototype quickly. You don’t need to know HTML, CSS, or JavaScript and you can still make a fully interactive webapp. The biggest advantage of Pynecone is that you can create a full stack, modern looking webapp using just Python. Under the hood, Pynecone will parse the Python code and compile it into a Nextjs / React application for the front end, and uses FastAPI for the backend. Pynecone was released around the end of 2022, so it’s still very new. On the other hand, Pynecone is a relatively new library for web development that allows us to create both the backend and frontend in Python. Those are great web development frameworks however, they focus on the backend while offer limited features to create the frontend user interface. Python is a popular language for web development, and you might have heard about Flask, Django, or FastAPI. If this sounds too good to be true, keep reading to find out! Mortgage Calculator built with Python What is Pynecone? No HTML, CSS, or JavaScript, Python only. I’ll show you how to create a sleek looking mortgage calculator using the Python Pynecone and Plotly libraries.įirst, let me introduce you to the new pynecone library, which allows us to create a full stack web application using just Python.
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