C👏👏👏👏👏👏👏
AAJ K din pura waste thodi der subh video kiya uske baad jayada kuch ni kiya bas baitha raha
akhiri din hai so samajh sake toh samjh le varna pachtata rahega humesha
Thursday, 31 August 2023
1 SEPTEMBER 2023(friday)
TIME TABLE ::::::-
1.... KAL TIME MILE TOH FINITE DIFFRENTIATION KA KAAM KARO COMPLETE
2... JAVA KI PRACTICE YA VIDEO
CONCLUSION:::;;
1.. thoda sa subh kiya tha bas vo hi hua aur kuch ni kiya
2.. dffraction
3 emm module 1
4...
HOW WAS UR DAY :::::
1... subh college se jaldi aa gaya fir kya 2 baje fufa gaye so gaya utha thodi der kiya fir raat ko jaldi so gaya yaar kahi bhi karo jaldi complete karo project banao
Tuesday, 29 August 2023
30 august 2023 (wednesday) holiday
TIME TABLE :::::
1 HII IAM JAISE HAI VAISE HI SAHI HAI VAISE BHI SAB THIK NI HAI
1.. ABHI JAVA KE VIDEOS DEKH RAHA HU SCHOOL ME REVISE YA JAVA PRACTICE KAR LUNGA
2..EMM MODULE
3... INTERPOLATION COMPLETE
4.... DIFFRACTION COMPLETE
CONCLUSION ::::
1 ...
HOW WAS UR DAY ;;;;
1...
Monday, 28 August 2023
29 august 2023 (tuesday);
TIME TABLE (HOLIDAY);;;;
1 SABSE IMPORTANT CHEEZ TIME PASS MAT KARO DIFFRACTION REPEAT KARO THEN APNA JAVA COMLPETE KARO THEN 2
2. JAVA COMPLETE
4 .. EMM MODULE 1
CONCLUSION-;
1 barbaad gaya java ko chuha bhi ni emm ke modules bhi ni kiye
interpolation kiya thoda sa
HOW WAS YOUR DAY ::::::
1. ABHI TAK TOH THIK HI HAI AAGE PATA NI KAISA HOGA 12 BAJE TAK PADHNE NAHI BAIYHA FIR BLOG THIK KAR RAHA HU JA RHA HU PEHLE DIFFRACTION KE BACE HUE VIDEO DEKH LU
2.. kch hi nahi kiya thoda sa interpolation raat ka waqt barbaad ho gaya so mehnat kar saale
raat ko thoda hi padh paya interpolation ke teen lecture bhi ni le paya
Sunday, 27 August 2023
28 august 2023 (MONDAY)
1. JAVA KO COMPLETE KARO THEN KUCH AUR KARNA JB VO COMPLETE THE
DIFFRATION ATLEAST 12 BAJE TAK.
2. USKE BAAD CIVIL KA SYLLABUS HO SAKE TOH REPEAT KAR LO TIME NAHI MILEGA MUJHE PATA HAI KYONKI 3 GHANTE HI HAI FIR CLASSES
CONCLUSION;
1.
## HOW WAS YOUR DAY -:
till now good java ke kuch page completed
now next target to complete diffration ok so ye time is (11:19 am)
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Hello
df.corr().stack() or unstack()
2nd way import pandas as pd # Example DataFrame data = { "A": [1, 2, 3, 4, 5], "B": [2, 4, 6, 8, 10], ...
