Udemy – Data Analysis with Polars in Python 2023-12

Data Analysis with Polars in Python course. This course teaches you how to efficiently analyze and process large data sets using the Polars library in Python. In recent years, Polars has revolutionized the processing of large datasets by providing high-speed data structures. The library uses parallel processing to enable fast data reading and writing, and in many cases outperforms Pandas. By the end of this course, you will be able to read CSV files into Polars DataFrames, transfer data to a database, export to Excel, aggregate complex data, join DataFrames, and take advantage of Polars’ high speed. Although Pandas has more integrations with other libraries, Polars offers an easy way to convert a Pandas DataFrame to a Pandas DataFrame, so you can get the best of both worlds. Learning Pandas is still useful, as many of its concepts are applicable to Polars. Ultimately, the choice between Pandas and Polars depends on your project needs, but Polars is an ideal choice for processing large amounts of data.

What you will learn:

• How to read CSV files into Polars DataFrames
• How to transfer data from Polars to a database
• How to read Excel files into Polars DataFrames
• How to Aggregate Data
• How to Join DataFrames
• How to benefit from Polars’ superior processing speed

Who is this course suitable for?

• Beginner Data Engineers looking to improve their data manipulation skills.
• Data Engineers looking to use Polars in their Data Pipelines.
• Pandas users looking to switch to Polars.
• Aspiring Data Analysts.

Data Analysis with Polars in Python course details

• Publisher:  Udemy
• Instructor:  Jayden Rasband
• Training level: Beginner to advanced
• Training duration: 1 hour and 44 minutes

Course syllabus on 2024/11

Prerequisites for the Data Analysis with Polars in Python course

Course images

Sample course video

Download link

Download file – 412 MB

File(s) password: www.downloadly.ir

File size

412 MB