Blog: Python

Before training a model, you have to preprocess data. This is necessary to transform raw data into clean data suitable for analysis. In this guide, we will cover essential steps to preprocess data using Python. These include splitting the dataset into training and validation sets, handling missing values, managing categorical features, and normalizing the dataset.

If you write in Python, you need to use an IDE, which provides your with a platform for writing, debugging, and executing code. Today there are several IDEs that you can use, both commercial and open-source ones. The only problem is to choose the right one. In this article, we will discuss the top Python IDEs, as well as the factors to consider when choosing the best IDE for your needs.

According to statistics, Python is the second most popular programming language in the world. There are more than 600,000 Python jobs in the world, which makes up to 20% of all programming jobs. Even though Python is more than thirty years old, it still doesn’t lose its popularity.