A more efficient way for a more efficient software Databases are one of the most important concepts in software development and maintenance, they unify the management of data so that everyone that access it can query and easily make sure that the informations are correct from a single reliable source…

Last week we saw the fundamentals of the matplotlib package and what we can do with it, now we’ll see how to use it with pandas and numpy to use it effectively. Pandas dataframes Pandas dataframes are the most common data structure that we’ll use and we can obviously plot them with…

We know about pandas and numpy and after matplotlib, we’ll know the core of machine learning; the prior knowledge needed to make actually a good project and how these three library matches so much together, so let’s dive in! Importing matplotlib To get the maximum from matplotlib we can’t just import it…

In this week we’ll see the final part of all the functions that we may need to use numpy in our machine learning project. Let’s dive in! Viewing the operation performance In python, using numpy, as well as other languages, we’ll have a lot of ways to do the same thing; In python, we…

Numpy is a powerful python package for three main reasons: python is slow and numpy is written mostly in C, one of the fastest languages ever created. Numpy is the backbone of other packages. It makes it easy to work with arrays and matrices. The core of machine learning is…

Last week we saw the first steps on how to display data in pandas on jupyter notebook, but there is still some work to do. Comparing two columns If we are analyzing a dataFrame there is the chance that we do not always want to see all the data but to just compare…

Recursion is a function that calls itself, and if this phrase can make it look simple, it can get complicated very quickly. In this article we’ll see the difference between recursion and iteration, when to use it, how to use it, how it actually works and its possible problems. How its made? It…

Introduction After we did the set up of our environment we can now do the actual work, and to be able to do it we have to learn python and its library dedicated to the data analysis, pandas. Learning python Learning python is very easy, and if you have any experience with a…

Introduction to be able to learn machine learning with python we have to set up the environment first. To create machine learning environments for python we need Anaconda, a software that has all the packages that we need to actually begin. Anaconda weight circa 3 gigabytes of space and has all…