Expand your skills
Master the complex SQL queries necessary to answer a wide variety of data science questions and prepare robust data sets for analysis in PostgreSQL.
Joining Data with pandas
Learn to combine data from multiple tables by joining data together using pandas.
Python Data Science Toolbox (Part 1)
Learn the art of writing your own functions in Python, as well as key concepts like scoping and error handling.
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The 80 Top SQL Interview Questions and Answers for Beginners & Intermediate Practitioners
This article provides a comprehensive overview of 80 essential SQL questions and answers for job hunters, hiring managers, and recruiters, covering both general topics and technical questions.
Pandas 2.0: What’s New and Top Tips
Dive into pandas 2.0, the latest update of the essential data analysis library, with new features like PyArrow integration, nullable data types, and non-nanosecond datetime resolution for better performance and efficiency.
PyTorch 2.0 is Here: Everything We Know
Explore the latest release of PyTorch, which is faster, more Pythonic, and more dynamic.
Abid Ali Awan
Step-by-Step Guide to Making Map in Python using Plotly Library
Make your data stand out with stunning maps created with Plotly in Python
How to Practice SQL Using any Dataset with Workspace
Learn how DataCamp Workspace optimizes the experience of working with Jupyter notebooks and SQL. Discover how to effortlessly write SQL queries, connect to databases, analyze CSV files, and leverage the power of AI assistance
High Performance Data Manipulation in Python: pandas 2.0 vs. polars
Discover the main differences between Python’s pandas and polars libraries for data science
Javier Canales Luna