Pandas tips and tricks for Data Science-(Part-3)

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✅ This video is part of the 40 days course PythonKaChilla version 2.0.

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Watch in HD, like the video and post your reviews about the course until now. #Pythonkachilla2

Codanics
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Comments to python 2.0
BaBaG apke pechle chille bhi join kiye the par jo tips and tricks ap iss chille me bata rahe hai wo behtareen hai aur filtering tecniques bht samjhe aye hai mujhe is lecture ke baad 😘

sahiljatoi
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MashaAllah course is going very smooth. Bht kch sekhny ko mil raha h. Ap the way of teaching bht acha h. Pandas profilling ny tw dill garden garden kr diya. Thankyou baba g for your great effort, Allah pak jazaikhair atta kryn #PythonKaChilla2.0

usamanadeem
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course boht hi acha ja rha hai or hmy boht kuch seekhny ko mil rha hai advance level per

soniailyas
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As a data scientist, pandas profiling is the best library I have used till now. And very impressive by advance python. Course content ar ap k prhane ka trika kmal h. Allah pak ap k Baba ko is nek kam ka ajr de.

raimuhammadyar
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The course is very informative and helpful for all who are data science learners. Thank you baba g.

yasmeenamjad
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Course is going great. I am following instruction and practicing it daily and enjoying it.

mmuntaqeem
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Sir, So far the course is great going. Everything about tricks is easily understandable.

muhammadanwarulhassan
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3:58 Install "Excel Viewer" extension then Right click excel file and select Preview. It'll allow us to copy directly

6:05 There's no mistake/error. We can just name the csv file better without spaces for semantics.

11:14 Appennd is a deprecated method. Concat is preferred:
dataset = [kashti_1, kashti_2]
df1 = pd.concat(dataset)

14:23 "class" is a reserved word in Python. We can't use it like that. Interpreter gets confused since it seems like an ambiguous statement for it. We can use:
df["class"].unique()

16:38 The "pipe sign" is a bitwise OR operator in Python

17:54 To view only embark_town and sex columns with conditions we can use this:
df[["embark_town", "sex"]][ (df["embark_town"] == "Southampton") |
(df["sex"] == "female")]

arskas
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REVIEW:
These tips and tricks are so useful in making our projects smooth. Really loving these .

adenrajput
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This course is great, so much to learn from this course, and your way of teaching is also great. Awesome course ❤

mumer
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Course/Chilla Review:
As of 25-July-2022, lots of interesting stuff going on in this Chilla. The Pandas tips & tricks are helpful. Saving it all on GitHub while practicing since it'll come handy whenever we start a new project. The filtering commands i.e nlargest, logic_gate operators etc., seemed the most useful. Looking forward for the next videos.

arskas
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Your way of teaching is very good. The tips and tricks in this course are awesome.
#Pythonkachilla2

salehaattiq
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#Pythonkachilla2.0 ka content jitna abi tak parha hai behtarin hai. Appied data science walla scene chal raha hai or ye bohat behtar hai.

luqmanbutt
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Review: After learning the previous chilla and now being the part of Python ka chilla V2 is so helpful for me. I was not aware about most of these pandas tips and tricks. Very excited to learn about the new content like MataAnalysis and woking on PowerBI and Tablaeu and making DashBoards.

kashifraza
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Review: I am feeling lucky to be part of this Python ka chilla 2.0. Github copilot makes life very easy and these pandas tips and tricks are icing on the cake. So far it's a great beginning chilla. Keep it up @ Ammar Bhai

muhammadwaleedanjum
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14:13 clas is reserved word of python so you can use like this
df['class'].unique()
or
df['name_of_column'].unique()

abdullahahmad
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Baba ji course bilkul Acha ja Raha hai jese aap ne Kaha tha advance cheeze seekhenge, wesa hi ho Raha hai, insha'Allah aur b cheeze seekhna chahte hai.❤️✨✨✨ #codanics

KaranKumar-vzrm
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13:48
df['female'] will also give the same output.
15:16 we can get unique value of class by using this function
df['class'].unique

16:39 bitwise OR

AbdulHannan-dgdl
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If you install 'Excel Viewer' extension, you can view the excel sheet, copy the data from keyboard and paste it with read_clipboard command python.

6:06 It's better to use underscore while naming the excel files but it's not a mistake I think. The file extension should also be 'xlsx' if it's copied from excel file with xlsx extension.

Jackey