I'm a Mechanical Engineer who's worked in the industrial field for 5 years.
Thanks to my curiosity, I discovered programming and AI. Having a burning passion for writing, I couldn't avoid starting to write about these topics, so I decided to change my career to become a Technical Writer.
My purpose is to educate people on Python programming, Machine Learning, and Data Science, through writing.
Want to contact me? Here are my contacts: https://bio.link/federicotrotta
The Power of Indexing: Boosting Data Wrangling Efficiency with Pandas
Pandas is the most widely used Python library for data manipulation, and it allows us to access and manipulate data efficiently. By understanding and utilizing indexing techniques effectively in Pandas, we can significantly improve the speed and efficiency of our data-wrangling tasks. In this article, we'll explore various indexing techniques...
Data Integrity: How OrderedDict Preserves Key Order in Python
Data integrity is a critical aspect of programming that ensures the accuracy, consistency, and reliability of data throughout its life cycle. It is particularly important when dealing with complex data structures and algorithms. By maintaining data integrity, we can trust the consistency and correctness of the information we process and...
Finding Numbers in Various Data Types in Python
When working with Python, we often have to deal with data in the form of numbers or words. Sometimes, words and numbers are stored together, and our needs compel us to separate numbers from words. In this article, we'll explain how to define words and numbers in Python. Then, we'll...
Python Dictionary Comprehension: A Fast and Flexible Way to Build Dictionaries
Dictionaries are a very powerful, Pythonic way to store data. They allow us to associate a key with a value, and access them as needed. This makes it easy to store data where, for example, we need to associate a string with a number. For instance, if we need to...