Скачать или смотреть 14. Reading/Writing in CSV File using Pandas ,nrows,names,usecol,skiprows,headers in Python XI/XII

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This is the 14th lecture in the new series for covering IP CBSE new pattern with python. This video will give you indepth knowledge on reading and writing a CSV file using pandas and in python program. IT will also tell you how to shorten your dataset using nrows and usecols. Futher topic like header,nrows,skiprows are also discussed which can be performed after fetching the data from a csv file.

Please watch the older videos in order to understand this better.

Playlist for the whole python series for CBSE IP
   • CBSE Information Practices Video Lecture S...  

1.Introduction to data analytics and pandas | Data Cycle | Feature of Pandas | Class XI/XII CBSE IP
   • 1.Introduction to data analytics and panda...  

2.Installing and Introduction to Pandas And Data Structures in Python | Class XI/XII CBSE IP 2021
   • 2.Installing and Introduction to Pandas An...  

3.Creating Series() using Pandas , Range(), Indexes, Lists in Python | Class XI/XII CBSE IP
   • 3.Creating Series() using Pandas , Range()...  

4.Creating Series() using Pandas , Range(), Looping indexes, Strings, iloc , loc, Numpy in Python
   • 4.Creating Series() using Pandas , Range()...  

6. Performing Mathematical and Vector operations on series in Pandas Python | Multiple series Python
   • 6. Performing Mathematical and Vector oper...  

7. Introduction to DataFrames in Pandas Python | Dataframe using List in Python |
   • 7. Introduction to DataFrames in Pandas Py...  

8. Introduction to DataFrame using Multiple Series() | Sorting Values in Python
   • 8. Introduction to DataFrame using Multipl...  

10. Indexing , Renaming , Adding , Manipulating , Deleting columns in Python
   • 10. Indexing , Renaming , Adding , Manipul...  

11. add(), radd(), sub(), rsub(), mul(), div() Binary Operations in Python
   • 11. add(), radd(), sub(), rsub(), mul(), d...  

12. Match Operation,fillna(),NaN ,ffill(),Adding NaN Values in column in python
   • 12. Match Operation,fillna(),NaN ,ffill(),...  

13. Merging,Boolean Reduction, concat(),axis, any(),empty(),all() in Dataframe
   • 13. Merging,Boolean Reduction, concat(),ax...  

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