Latest Articles

We explore what is carry trading and how to apply it in Python. Why today's economic landscape it is a profitable strategy and what risks are associated with it.

Explore the power of DuckDB, an efficient open-source analytical database system for processing large datasets. This post delves into reading a folder of CSVs using DuckDB in Python, demonstrating its advantages over traditional methods like Pandas.

The article explains how to use Python to crawl multiple web pages and extract information using the requests and selenium libraries. It covers topics such as making HTTP requests, and navigating through multiple pages. The article also provides code examples and tips for optimizing web crawling.

Learn how long it takes to learn Python for Data Science in 2021. What does it take to be a Data Scientist in 2021?

Uncover hidden insights in your data with these 4 methods for smoothing a line. From rolling windows to spline interpolation, we'll reveal the secrets you need to know to unlock the full potential of your data.

Learn how to calculate expected returns with Capital Asset Pricing Model (CAPM) and how to do it in Python.

Learn tips for successful web scraping in Python: check website's rules, request rate, dynamic content, and data format. Scrape responsibly!

Learn how to add logic to your Python code with control statements. Use if, else, and elif to make decisions based on conditions, and for and while loops to repeat actions. Master these programming concepts to write efficient and flexible code in Python.

Learn how to extract data from websites using Python with web scraping. Use the requests and beautifulsoup libraries to get started and save the extracted data. Learn more about Scrapy, Selenium, lxml, Pandas and mechanicalsoup