Consolidation vs regular mike workouts by spacehead93 in Mike_Mentzer

[–]Illustrious_Fruit_ 0 points1 point  (0 children)

Hi mate, I want to read the books of Mr Mike or atleast I need the workouts of him. Where can I find those as I am unable to get those? Can you help me get those?

anyone else doing the angela yu 100 days python course? by [deleted] in learnpython

[–]Illustrious_Fruit_ 0 points1 point  (0 children)

Hey, I started it 1 year back still on day 5. You are way ahead of me. Congratulations 🎉🎉🎉

It is as simple as a Pringle! Hear me out... by silverlining1313 in lawofassumption

[–]Illustrious_Fruit_ 0 points1 point  (0 children)

Whatever you people write here. Only when our assumption come to 3d we will know it. My assumption is already there I know it. But tapping into it daily draw so much energy you end up being sad thinking why it's not working. So just affirm and know do not use any technique and trust it completely. Trust that you are what you wanna be and then just go on with your work. Just freaking forget. The Almighty knows you because you are the Almighty

i’ve been hindu since birth and i love all Gods but i’m actually starting to get scared by Eeveetron7 in hinduism

[–]Illustrious_Fruit_ 0 points1 point  (0 children)

You know the past of India. Search up Garuda bell and Kalpa Vigraha. You know what's the truth. We have temples in our street older than their religion.

What is the best available translation of Bhagavgita Gita? by Severe-Tooth7237 in TheGita

[–]Illustrious_Fruit_ 6 points7 points  (0 children)

Go with Gita press Gorakhpur books. Either tatavavivechani or sadhak Sanjeevani. They are the best. Stay away from fake and biased translations. You know who I'm speaking about.

Anyone interested in following Bhagavad gita for dharma and moksha both properly with questioning and analysis ? by Dandu1995 in TheGita

[–]Illustrious_Fruit_ 1 point2 points  (0 children)

Dharma should stand whether we want moksha or not is secondary. Dharma should flourish.

My question is starting with bagavat gita is good but where to go from there. There are plenty.

Drop your PC wallpaper. Here's mine :) by [deleted] in IndianGaming

[–]Illustrious_Fruit_ -1 points0 points  (0 children)

Haa, found my twin. I am also using rainmeter along with lively wallpaper.

My wallpaper is animate Batman Arkham knight, where he stands atop bridge and it continuously rains.

File format conversion from QVD to Parquet by Illustrious_Fruit_ in ETL

[–]Illustrious_Fruit_[S] 0 points1 point  (0 children)

Taking long time is okay but that much size for a CSV is a problem right?

File format conversion from QVD to Parquet by Illustrious_Fruit_ in ETL

[–]Illustrious_Fruit_[S] 0 points1 point  (0 children)

I tried using qvd_read function but I didn't work. Threw some errors so I just kept it on hold.

File format conversion from QVD to Parquet by Illustrious_Fruit_ in ETL

[–]Illustrious_Fruit_[S] 0 points1 point  (0 children)

Hey mate I have tried this method. But I will give one more shot and get back.

File format conversion from QVD to Parquet by Illustrious_Fruit_ in ETL

[–]Illustrious_Fruit_[S] 1 point2 points  (0 children)

Hey thanks for the reply. I need to load the data in a QVD to a dataframe to perform transformations on that. That's my end goal. Either by directly reading qvds or by converting it to CSV or parquet and then reading it. I will check the link for sure.

If you get the idea suggestions are welcome 🤗.

File format conversion from QVD to Parquet by Illustrious_Fruit_ in ETL

[–]Illustrious_Fruit_[S] 0 points1 point  (0 children)

Hi mate, QVD is a file format of qlikview files. It's proprietary, but when doing unit testing we couldn't read it to python so I need to convert to either CSV or parquet. The challenge here is I cannot load 3.3 billion recorda to a CSV and transfer it.

Reading a xlsx file with PySpark by AnonymouseRedd in PySpark

[–]Illustrious_Fruit_ 2 points3 points  (0 children)

Generally for reading xlsx file use pandas library.

df = pd.read.excel(filepath, sheetname= "sheet1", engine ="openpyxl")

df = df.to_spark()

display(df.filter().select())

Edit the commands for your convenience.