Flexibility at its best: why serverless GPUs may reign supreme in ML — Machine Learning models require extensive computational power, especially when we’re working with big data and/or with complex models, like (very) Deep Neural Networks. Until recently, the typical solutions we could implement were: Investing in expensive hardware. …

A comprehensive guide on lists in Python — When programming, we always have to deal with data structures. What I mean is that we need to store information somewhere so that we can reuse it later. Python is a very flexible programming language and gives us the possibility to use different types of data structures. In this article…

Discover the power of interactive visualizations for Data Analysis and Machine Learning — Data visualization is one of the most important tasks for Data Professionals. It helps us, in fact, understand the data and to ask more questions for further investigations. But data visualization is not only a task we have to conclude in the Exploratory Data Analysis phase. …

Without changing absolute paths — In the last few days, I had some troubles with Python dependencies on my Windows machine. I tried to install new packages to test them. Indeed, they were installed and I could see all the details with $ pip show [library_name] but when I tried to import the library installed…

The complete guide to performing the top 7 Pandas column operations, in different ways — When it comes to data analysis, Pandas is the most used Python library to manipulate and prepare the data for further analyses and Machine Learning. The reality is that Pandas is a really flexible library and can be used even to convert file formats. However, even if we use some…

3 Python libraries for scientific computation you should know as a data professional — Python is one of the most used programming languages in the world and provides developers with a wide range of libraries. Anyway, when it comes to data manipulation and scientific computation, we generally think of libraries such as Numpy, Pandas, or SciPy. In this article, we introduce 3 Python libraries…

Let’s understand the big picture behind generative AI — The last months have seen the rise of the so-called “Generative AI”, which is a sub-field of Artificial Intelligence (AI). Tools like ChatGPT have become one of the most spoken words and are becoming fundamental tools for everyday tasks in many jobs (even to learn to code). Words like “DALL-E”…

With and without Python. Excel is still the most used database….ehm, spreadsheet software to perform a lot of tasks. Yes, sometimes it’s also improperly used as a database. Because, we have to be honest: it lends itself well to being used in this way. Since it’s used for a lot…

Let’s see the power of AI for efficient data collection While Machine Learning, and AI in general, are exploding and expanding in every field, many companies still have a big issue: they’d like to use ML/AI, but don’t have the data. Unfortunately for them, no data no party. And hiring…