Python Pandas Tutorial: Top 40 Useful Tricks Part-1

PYTHON PANDAS TUTORIAL: TOP 40 TRICKS PART - 1 ( 1 to 10)
2:15 #1. Extracting data with Regular Expression
11:18 #2. Pandas Pivot Table
18:40 #3. Pandas cut function, convert continuous to categorical data (wine)
23:30 #4. Split strings to columns, expand
30:08 #5. Remove Outliers by Filtering
38:16 #6. Handle missing values with dropna()
46:57 #7. Pandas Apply Function
51:18 #8. Pandas set_option for formatting, change default max_columns
54:08 #9. Extracting Month and Year as separate columns from Pandas Datetime column
59:43 #10. Percentage change function in Pandas DataFrame.

#Pandas #Python #Tutorial
Watch above video for Part 1 of PYTHON PANDAS TUTORIAL,

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[thunguyenphu]

It's easy to understand. Good luck sir

[Lnd]

Extremely useful stuff, many thanks. Here’s a one liner for tip number 1 if preferred.
data[‘total_cost’] = x: sum(map(float, x))) + data.price

[shubhambhavsar]

its really help full sir, i learn lot new tricks which i required to solve my problems.. thank you

[nriezedichisom]

Well done. This video was quite insightful

[anaghadamame]

Very useful... thank you sir for this video Waiting for part - 2 ...
Also if possible please make video on Exploratory Data analysis same like this video which having various tricks 👍

[jameszhou]

This is really nice and I learned quite a few things. Thanks.

[rudolfsrudzitis]

Thank you, very useful. :) Can you teach me how can I enable a feature that shows me suggested function or package when I'm writing code in Jupyter Notebook after entered just first letter? That way making my writing a lot faster.

[subrahmanyapraneshkr]

🙏 🤝 Thank you so much for the useful information..

[purbashachowdhury]

Thank you for these tricks sir. Requesting u to kindly do some EDA videos using R programming?

[mmudgal]

Do some videos on visualisation, using any type of data type, using different libraries. Matplotlib, seaborn, pandas, classification, time series.

[sparkartsdistinctions]

Excellent and very rare content...keep it up ... we support you.

[rummanansar]

Hi sir i am From Sri Lanka and learning Data Science i am watching all your videos, and i am not finding in youtube pandas trick video 3rd part and 4th, can you please help me to find or can you help me any otherway sir ?

[svitirur]

sir, can you make video about outliers

[AnilKumar-donj]

Please explain fully dask dataframe I am waiting that video

[BHARATHEEYUDU.]

Suppose I have a Gender column in one dataframe F M F F F M M F M like that so how to print those values
Alternatvly as F M F M F M F M