AI is already being used in countless data science applications and workflows, and it looks like the capabilities of these tools are only going to continue to revolutionize the data science field. Many data scientists are harnessing Python and Pandas to parse, manipulate and analyze data, but AI can help

Data-driven businesses are continually looking for ways to update and improve their data stack to give them better insights and a competitive edge. In the data science field, these technologies and tools are evolving at a rapid pace. AI tools and machine learning have exploded in popularity in recent years,

The financial services industry is continually evolving, with many finance, banking and fintech organizations making good use of big data to improve their business. However, harnessing the power of big data can sometimes be a daunting endeavor. That’s where AI comes in. With advanced Python AI coding tools, the

I've spent the past 3 years of my life building a spreadsheet. Day in, day out, rows and columns. Pivot tables and graphs. Formulas and importing and exporting. Building a spreadsheet is how I plan to spend the next decade of my life – which is a somewhat sobering

This is post two in our series Lessons Learned from Adding ChatGPT to a Mature Product. Read post one here. Two months ago we released the first version of Mito AI. Since then we’ve made two primary improvements. We introduced the Mito AI server so that users no longer

Excel is the world's most popular data analysis tool. One of its most popular functions is VLOOKUP – it lets Excel users easily match records across two tables to combine their values into one table. While Excel and its functions can be useful, many people are switching to Python

Do you regularly use spreadsheets in Excel or Google Sheets? If you’re looking for something more powerful, using Python can give you more tools and flexibility for handling data. However, the transition from Excel to Python might be intimidating for some. In this blog, we’ll give you the

Python is one of the most widely used and versatile programming languages — but where do you start? Fortunately, there are plenty of great resources out there for learning Python, and getting started with some simple projects can help build your skills. In this guide, we’ll give you some fun

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