This is really painful to use. There appear to be better ways of doing this in a Streamlit app.

just want to say thank you for this video. this is solved my issue.

Alteryx is easier than google maps at finding pubs?

doesn't recognize my config module from config import * ModuleNotFoundError: No module named 'config' what should i do? thanks in advance

Hi Where I can find the snowflake account id?

great video and series. i got stuck on the website udf. turns out on my set-up, the 'html' column was saved as 'binary' instead of 'string', had to add binarytype() to my snowflake.snowpark,types import and use input_types=[BinaryType()] instead of StringType()

So snowpark code is just like databricks pySpark code :D . Thanks It's clear now that Snowpark and Databricks are for spark processing.

Good. Keep doing more

Amazing content, thanks for sharing. I have a few doubts 1. What are the pros & cons of Snowpark vs SageMaker 2. If we want to redo SageMaker codes with Snowpark are there limitations? 3. Are there data type challenges of using Snowpark? 4. Quickest way to ramp up on Snowpark?

what would you do if you;re getting your data from snowflake

how do we cast date to string or string to date in snowpark?

i have a grouped snowpark df i am trying to calculate a median of target column can u pls help currently i am trying df.groupby(columns).agg(median(targetcol)) its not completing

Hey, great introductory video, can you advice how I can access a nested column while selecting them from a table?

Do you have the full course of the alteryx? I am looking for it.

what ide are you using?

13:28 what is F.Col ?

whats the IDE?

This is one of the best snowpark video I have found among KZbin. So easy to understand and point to point.

I have a SQL problem which I want to solve. Able to achieve half the way but another part is pending, pls help in this. Thank you for so beautiful simple explanation

Great series of videos!!! Well explained.. Thanks! BTW, I don't see a .sql file in the zipped folder... Am I missing something?

Hi, Thanks for the great content. I recently got a chance to work on Snowpark python. I am pretty much new to this. Can you please make a video on "Working with python worksheet on snowflake UI" and how to deploy it also I want to how to get arguments to that python script to take user inputs. Keep posting such great videos.

Source control?

Thanks for this video. I create my dataframes using the snow_session.sql('select * from table') format. Is it possible to convert this snowpark dataframe to a pandas dataframe. The reason I am asking this is because I would like to save my snowpark dataframe to a csv file.

Great Video!! Can you please create a video on how to design the Session Configs section so that it can connect to Snowflake that has Single Sign On and also how to move this code in QA and production environments ( CI/CD)? you can also create a Udemy course for that I will buy that :)

Very useful. Thank you!

Very nice. So basically, snowpark is "async" by design in a way.

snowpark is good imo, the only things I dont like it much is snowpark only supports only python 3.8.

This is one of the best Snowpark tutorials out there! Thanks @Aimpoint Digital!! Will be tuned in for future videos.

Wow! Very simple to understand and love the combination of coding and theory explanation. Chris, you got the gift to convey a complete message in an easy one. Please don't stop as there a not a lot of clear snowpark videos on KZbin. One thing I was hoping to see is the initial setup and connection to snowflake also importing snowflake connection. Liked, subscribed immediately, and even pushed the bell so I won't miss any future videos

Quantity was applied to just the discount which is how this ended up with the negative revenues. Quantity should have been applied to the whole equation. Enjoyed the video though. Good walkthrough

nice explanation

Can you u use alteryx for biology?

Python is actually quite easy to learn. Learn Python, and you won't be hamstrung by the limitations of a graphical substitute for actual programming. Moreover, you'll be able to take your Python skills with you from job to job, as opposed to building a career around the narrow set of employers who are using this or that proprietary alternative. If you're the sort of person who likes logical abstractions, then you will do well with Python. If you're not that sort of person, then you shouldn't be doing doing data cleaning and analysis work anyway. Cleaning and analysis is all about clear logical thinking. People that do well with that sort of task don't need a dumbed down alternative to actual programming.

I really like it !

Thanks, a good watch and very appropriate foundation for modern analytics.

then who needs ML engr. , data scientist and data analytics anymore? if we have this software? Were those position I mentioned created this Alteryx? or is it the software engr. ? Either way, they dug graves for those positions except software engr.

Love the cat !

This is an absolutely brilliant introduction to Designer! Fun, informative and a great production! Well done! Can you make APA as easy and clear to understand?

So I buy a bunch of Alteryx stock, give it a few years and I retire RICH?

Hi there. This was a quick helpful video. Meanwhile, is Incremental loading possible in Alteryx and how is this handled?

etl, ml, reporting . Wow it can do a lot!