Pandas Memory Optimization Tips

While loading big datasets in pandas, we need to be aware of the memory footprint. In this video, I will discuss 4 tips that can help you reduce this footprint.

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#️⃣ Social Media #️⃣

[Mutual_Information]

Lots of good advice. A huge one is the string vs categorical difference. Strings are super wasteful in pandas and a very typical default behavior.

[pushpendratripathi]

Thanks for the video, I also use inplace=True where I can to save the memory. It won't create another copy of data frame each time I perform an operation.

[thisoldproperty]

Actually that was very handy. Thanks for just getting to the point.

[bestineouya]

Thanks for the video. i always do "del df" after obtaining the required data

[tamafun]

Thank you for your leadership on this initiative

[Ankit-pmtm]

Pleased make videos in codebasic hindi as well.

[chaitanyabasotra]

Sir I'm btech in civil engineering 2015 passout and having working experience of 4 years (2015-19) thn i left the job and starting preparing for government service but after 3 years of preparation I couldn't get through....now i m 29 years old and I want to switch my career in private sector ....pls sir suggest me ki mai DATA ANALYST ke sath jau ya KISSE aur skill ko seekh lu jisse muje achi job mil jaye...pls reply..i really need ur advice