Transition from Excel to Python | Mito

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Aaron Diamond-Reivich

Research: Mito Increases Python Scripting Speed by 400%

We're always on the hunt for tools that improve our efficiency at work. Tools that let us accomplish more with less time, money, and resources. We launched Mito three years ago to help analysts write Python code faster. And even with Mito's limited functionality at the time, our users told

Wealth Management Analyst Automates Critical Monthly Deliverable

I used Mito to automate a critical monthly reporting process that is sent to the C-suite. This was my first foray into Python, but I’m now Python-literate, and have continued to automate other manual reporting processes throughout my team. - Greg, Analyst in Wealth Management at large North American

Special Events Team at Large Private Equity Saves 7 hours/week using Mito

The Mito report process will end up saving my team and I countless hours during the year with the ability to take complex reporting data and turn it into useable information for our Stakeholders. We’re able to automate complex reporting structures. Now we can easily run a script to

3 Rules for Choosing Between SQL and Python

Analysts at the world's top banks are automating their manual Excel work so they can spend less time creating baseline reports, and more time building new analyses that push the company forward. These report automations often live in Jupyter Notebooks and use a combination of SQL and Python. Usually SQL

Lessons Learned from 2 months of ChatGPT in a Mature Product

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

Python Basics #4: Pandas

This is post four in our series Python Basics, where we discuss the minimum Python and Jupyter you need to know to successfully automate Excel reports using Mito. Read Post One: Hello World, Post Two: Variables, and Post Three: Functions. So far, we've used variables to hold individual values, for

Python Basics #3: Functions

This is post three in our series Python Basics, where we discuss the minimum Python and Jupyter you need to know to successfully automate Excel reports using Mito. Read Post One: Hello World and Post Two: Variables. In the last post, we learned that variables are containers that hold values.

Python Basics #2: Variables

This is post two in our series Python Basics, where we discuss the minimum Python and Jupyter you need to know to successfully automate Excel reports using Mito. Read post one here. In the last post, we wrote our first piece of code. Now, it's time to understand a few

Python Basics #1: Hello World

Welcome to the exciting and powerful world of Python. If you’re here, you probably have at least one of these Excel files in your life: 1. The too big for its own good: This Excel file has so much data in it that it takes 10 minutes to open

Director of Finance saves 16 hours per month with Mito

To build weekly KPIs for my sales team, I need to quickly generate insights from our massive set of Salesforce opportunities. Instead of fighting with Excel to analyze my data, I’m using Mito to generate Python scripts myself and saving four hours per week. — Tom Bellis, Director of Finance