Data Analysis with Polars in Python

Data Analysis with Polars in Python, available at $19.99, has an average rating of 4.6, with 41 lectures, 19 quizzes, based on 13 reviews, and has 984 subscribers.

You will learn about How to Read CSV Files into Polars DataFrames How to Push Data from Polars into a Database How to Read Excel Files into Polars DataFrames How to Aggregate Data How to Join DataFrames How to Take Advantage of Polars Superior Processing Speed This course is ideal for individuals who are Beginner Data Engineers looking to improve data manipulation skills or Data Engineers looking to utilize polars in their data pipelines or Pandas users looking to make the switch to Polars or Aspiring Data Analysts It is particularly useful for Beginner Data Engineers looking to improve data manipulation skills or Data Engineers looking to utilize polars in their data pipelines or Pandas users looking to make the switch to Polars or Aspiring Data Analysts.

Enroll now: Data Analysis with Polars in Python

Summary

Title: Data Analysis with Polars in Python

Price: $19.99

Average Rating: 4.6

Number of Lectures: 41

Number of Quizzes: 19

Number of Published Lectures: 41

Number of Published Quizzes: 19

Number of Curriculum Items: 60

Number of Published Curriculum Objects: 60

Original Price: $69.99

Quality Status: approved

Status: Live

What You Will Learn

How to Read CSV Files into Polars DataFrames

How to Push Data from Polars into a Database

How to Read Excel Files into Polars DataFrames

How to Aggregate Data

How to Join DataFrames

How to Take Advantage of Polars Superior Processing Speed

Who Should Attend

Beginner Data Engineers looking to improve data manipulation skills

Data Engineers looking to utilize polars in their data pipelines

Pandas users looking to make the switch to Polars

Aspiring Data Analysts

Target Audiences

Beginner Data Engineers looking to improve data manipulation skills

Data Engineers looking to utilize polars in their data pipelines

Pandas users looking to make the switch to Polars

Aspiring Data Analysts

Who Should Take This Course?

Aspiring Data Analysts seeking to learn data discovery practices

Beginner Data Engineers looking to improve data manipulation skills

Data Engineers looking to utilize polars in their data pipelines

Pandas users looking to make the switch to Polars

Why Learn Polars

Over the last decade Python has become more utilized in Data Pipelines. However, most pipelines faced performance issues when processing large datasets in Python. This limitation hindered Python’s ability to manage “Big Data”.

But in recent years, Polars unlocked the door to processing large datasets with its high performance data structures. It uses parallel processing to quickly read data into DataFrames and Series.

And its performance doesn’t stop there! Not only can Polars read and write data quickly, it can also manipulate vast amounts data faster than Pandas.

After Finishing the Course, you’ll be able to: 

Read CSV files into Polars DataFrames

Know how to push data directly from Polars into a database

Export DataFrames to Excel

Aggregate complex datasets

Join DataFrames together

Utilize Polars’ superior processing speed

FAQs

Q: Is the switch from Pandas difficult?

A: No. The basic concepts are the same. There are definitely differences between the two libraries, but functionality between the two are very similar. If you can do it in Pandas, you can do it in Polars!

Q: I’m already learning Pandas, would you say I’m wasting my time?

A:No. My first exposure to DataFrames was using Pandas. Many of the concepts I learned in Pandas helped me understand Polars. They are definitely different in terms of performance. Pandas may at some point release a faster version, but as for now Polars is much faster when working with large datasets.

Q: Pandas has integrations with many more libraries than Polars. Won’t I be missing out on these if I make the switch?

A:Absolutely not. Its true that Polars does not have as many integrations with other python libraries, but switching from a polars DataFrame to a Pandas DataFrame is easy. Polars has a function that allows you to convert to and from a Pandas DataFrame. This allows you to get the performance of Polars while also getting the integrations of Pandas. Other libraries have also begun to build integrations with Polars so that may change altogether.

Q: What kind of bear is best? 

A:There are basically two schools of thought Pandas and Polars are indeed competing DataFrame libraries. Its probably for you to decide the answer to this question!

Course Curriculum

Chapter 1: Getting Started

Lecture 1: Welcome to the Course!

Lecture 2: Installing Python

Lecture 3: Installing Visual Studio Code

Lecture 4: Extensions for Visual Studio Code

Lecture 5: Download Course Materials

Chapter 2: DataFrame Inputs & Outputs

Lecture 1: Installing Polars

Lecture 2: Read CSV

Lecture 3: Write CSV – Part 1

Lecture 4: Write CSV – Part 2

Lecture 5: Write Database

Lecture 6: Read Database

Lecture 7: Read Excel

Lecture 8: From Pandas

Lecture 9: Read ODS

Lecture 10: JSON Normalize

Lecture 11: Scan CSV (LazyFrames)

Lecture 12: Reading Multiple CSV Files

Lecture 13: Write Database (SQL Server)

Chapter 3: Selecting From DataFrames

Lecture 1: Select

Lecture 2: Filter

Lecture 3: Slicing & Sampling

Lecture 4: Frame SQL

Chapter 4: Joining & Appending to DataFrames

Lecture 1: Inner Joins

Lecture 2: Anti Joins

Lecture 3: Left Joins

Chapter 5: Aggregation Functions

Lecture 1: Min & Max

Lecture 2: Mean, Median, & Mode

Lecture 3: Quantiles

Lecture 4: Sum

Lecture 5: Rank

Chapter 6: Date & Time Functions

Lecture 1: Business Day Count

Lecture 2: Add Business Days

Lecture 3: Handling Time Zones

Chapter 7: Archived – Python Fundamentals

Lecture 1: Data Types

Lecture 2: Data Structures

Lecture 3: Casting

Lecture 4: Mathematical Operators

Lecture 5: Comparison Operators

Lecture 6: Logical Operators

Lecture 7: Membership Operators

Lecture 8: If Statements

Instructors

Jayden Rasband
Business Intelligence Professional

Rating Distribution

1 stars: 0 votes

2 stars: 0 votes

3 stars: 0 votes

4 stars: 6 votes

5 stars: 7 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!