Jupyter Notebook vs PyCharm: Benefits for Data Science and ML Projects

If you watch any video tutorials about Machine Learning and Python, you will see that most developers use Jupyter Notebook for ML projects, not IDE like PyCharm. Why? What are the benefits?

Dec 9, 2023 3 minutes read

Pandas describe() Explained: Mean, Std, Percentiles

Python `pandas` library has a great method `df.describe()`, to show some numbers about the dataframe, but do you understand the meaning behind all of them?

Dec 9, 2023 3 minutes read

Python: Split Large CSV File into Smaller Ones (tasks from Upwork)

I recently saw a few jobs on Upwork that involve splitting large CSV files into smaller ones. So, I decided to write this tutorial and show how to do it in Python.

Dec 9, 2023 2 minutes read

Python Data Pre-Processing Example: Multiple CSVs into Single File

Imagine that you need to analyze the data for multiple years, and the client gives the data in multiple CSV files, one per year. Even worse, some columns in some years are in a different format. The task for data pre-processing, huh? Let's write a Python script for it.

Dec 8, 2023 8 minutes read

Python: Generate CSV File with Dummy Data - Three Options

If you want to quickly generate a CSV file with Python for ML model testing, this tutorial will show you how to do it in three different ways: plain Python loop, adding Python functions, or using the NumPy library.

Dec 8, 2023 3 minutes read

Method `train_test_split()`: Best Value for `random_state` Parameter?

When using the function train_test_split() from the scikit-learn library, you may notice a parameter random_state, which confuses a lot of beginners. What should be its "ideal" value, and how does it work?

Dec 7, 2023 3 minutes read

Python: Show Number as Percentage with Format and F-String

At the end of ML projects, you often get the accuracy numbers, like R2 score, as a float. What if you want to show them as a percentage on the screen? Let's return to Python fundamentals on concatenating strings and numbers with different options.

Dec 7, 2023 2 minutes read

Python Import Libraries: Three Syntax Versions

Python has a few syntax ways to import libraries/modules: `import library (as ...)` or `from library import ...`. For newcomers, it may be confusing which one to use in which case. Let me explain.

Dec 4, 2023 2 minutes read