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Learn Pandas: Python’s Key to Data Expertise

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What do bamboo shoots and data science have in common?

While this delightful Python library might not bear any formal ties to our cuddly companions (word has it the name is derived from “Panel Data”), its significance is undeniable for those working with data, especially in AI and data science landscapes. With its intuitive data structures and tools, Pandas has rapidly become a cornerstone in the data analysis world, acclaimed for transforming complex data manipulations into straightforward code. The newly released Gateway to Pandas course is perfect for beginners who have some experience with Python and are eager to delve deeper into this data-centric library.

Course contents

Like most courses on JetBrains Marketplace, Gateway to Pandas teaches through immersion. The course has you writing code immediately and offers a robust introduction to the topic, which includes:

  • Pandas-specific data structures, like the Series and Dataframe
  • Data preparation and cleaning
  • Exploring, summarizing, and visualizing datasets
  • Data manipulation

The course also offers two interesting projects to apply and showcase your new skills:

  • Build a recommendation model for the TED Talks dataset in Which TED Talks to watch
  • Analyze the computational costs of training Large Language Models like ChatGPT in Analyzing Compute-Optimal LLMs

It’s recommended that you have some experience with Python before starting Gateway to Pandas. Experience with NumPy is a bonus, but not required. If you’d like a refresher, you can check out our Introduction to Python course, also freely available on JetBrains Marketplace.

Learn in your IDE

If you’re someone who can get distracted in the few seconds it takes to navigate between a web page and your IDE, consider the perks of learning theory and practice in one window. With the JetBrains Academy plugin, you can test code as you read theory, greatly improving comprehension and interaction with the material.


For those following Gateway to Pandas, you’re not alone in your journey! Join the JetBrains Academy Discord server to connect with a supportive community of fellow students. Plus, you’ll have the unique opportunity to directly interact with the course author, ensuring all your queries are expertly addressed.

Free on Marketplace

Access Gateway to Pandas by following these steps:

  1. Download either PyСharm Community Edition (completely free) or PyСharm Professional (available with a 30-day free trial).
  2. Go to the Learn tab on the Welcome screen.
  3. Enable access under Learn to Program.

From there you’ll be able to find the course by locating it in the list of Marketplace courses.

If you have any questions or would like to share your feedback, feel free to leave a comment below or contact us at

Happy learning!

Your JetBrains Academy team

Meet the course authors

Aleksandr Avdiushenko holds a Ph.D. in math modeling. He is a dedicated educator and project manager on the JetBrains Education and Research team. With over 3 years of experience as a data scientist and over 7 years of teaching at top universities, he has honed his skills in deep learning and data optimization. Passionate about both machine learning and human learning, Alexander has developed an engaging Machine Learning course that showcases his expertise and commitment to education.

Elena Kartysheva is a machine learning engineer at JetBrains, with a Master’s Degree in applied mathematics and computer science. In her role, she works on a variety of industrial and research projects. Additionally, for the past four years, Elena has been teaching Mathematical Statistics and Data Science and Machine Learning courses at multiple universities. Her passion for teaching and her expertise in the field make her a valued instructor and skilled professional.

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