Data Analysis with Polars and Python

Data Analysis with Polars and Python
.MP4, AVC, 1920x1080, 30 fps | English, AAC, 2 Ch | 22h 11m | 14.1 GB
Instructor: Boris Paskhaver

• Master data manipulation operations in Polars including sorting, filtering, grouping, pivoting, joining and more!
  
• Understand Polar's functional, expression-based syntax for building up complex chains of logic
  
• Use LazyFrames to create complex query plans that Polars can optimize for efficiency
  
• Work with a variety of data including text, temporal, numeric, nested structures, and more
  

• Basic/intermediate experience with a spreadsheet software like Microsoft Excel/Google Sheets (common functions, vlookups, countif, pivot tables etc)
  
• Basic experience with the Python programming language (we'll cover the basics if you're brand new!)
  
• Strong knowledge of data types (strings, integers, floating points, booleans) etc
  

• installing Python and Polars on your computer
  
• understanding the core mechanics of Python
  
• working with the Jupyter Lab coding environment
  

• Series
  
• DataFrames
  
• LazyFrames
  

• sorting
  
• filtering
  
• grouping
  
• aggregating
  
• de-duplicating
  
• pivoting
  
• deleting
  
• joining
  
• replacing
  
• working with text data
  
• working with temporal/datetime data
  

• lists
  
• arrays
  
• structs
  

• Data analysts and business analysts
  
• Excel/Google Sheets users who looking to learn a more powerful software for data analysis
  
• Developers familiar with Pandas who want to explore the rising entrant in the Python data science ecosystem