Jacob Diamond-Reivich

Finance is an industry highly focused on efficiency. Just look at high frequency trading. Milliseconds and Millimeters are key to making trades faster. Python is at the forefront of not just trading but generally making financial services, fintech, any industry tangential to finance run smarter and faster. If we look

This will be an overview of the tools you can use to write Python automatically with AI. OpenAI Codex This is the most widely used code generation tool. It relies on Chat GPT-3 to generate code that the user prompts with written words. For example, as the website’s documentation

No, Spreadsheets Are not Going Away The common first question I get is “why do you think Python can eat Excel”? This is the wrong approach, in my opinion. Python is not going to eat Excel – it is too foundational (large parts of the global economy depend on spreadsheets – not

Merging dataframes allows you to combine multiple data sources into one. In the data world, enriching data often includes merging two datasets together. These datasets can be similar or different. Pandas is a great way to do this in a few lines of code. Below you’ll find easy “copy

Adding a column to a pandas dataframe allows you to create new and useful calculations from existing data in your dataframe. The code you probably want Adding a new column to the end of the dataframe and setting it equal to a transformation of existing columns. import pandas as pd

Pivot tables are the classic requirement on a job posting that you learn the day before the interview. Nobody uses them until you need them, and then they become your best friend. Pivot tables were first featured in Lotus, the precursor to Excel, and then became popularized in Excel 5.