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

#ipwithtechshubham #cbsetutorials #pythontutorials 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 https://www.youtube.com/playlist?list=PLSfFWwQt_FhCizJ0RlOqnRjkG1O8QJoiv 1.Introduction to data analytics and pandas | Data Cycle | Feature of Pandas | Class XI/XII CBSE IP https://youtu.be/OnYV6-0CHhA 2.Installing and Introduction to Pandas And Data Structures in Python | Class XI/XII CBSE IP 2021 https://youtu.be/e78Vdnx1hTg 3.Creating Series() using Pandas , Range(), Indexes, Lists in Python | Class XI/XII CBSE IP https://youtu.be/FDvtuutDqDs 4.Creating Series() using Pandas , Range(), Looping indexes, Strings, iloc , loc, Numpy in Python https://youtu.be/MIjc2j6nKuc 6. Performing Mathematical and Vector operations on series in Pandas Python | Multiple series Python https://youtu.be/631js2IiXyU 7. Introduction to DataFrames in Pandas Python | Dataframe using List in Python | https://youtu.be/hO0QDUpXBDA 8. Introduction to DataFrame using Multiple Series() | Sorting Values in Python https://youtu.be/eWl1zWugwVg 10. Indexing , Renaming , Adding , Manipulating , Deleting columns in Python https://youtu.be/akNTRfbQCHM 11. add(), radd(), sub(), rsub(), mul(), div() Binary Operations in Python https://youtu.be/bpz0wOXN_Yo 12. Match Operation,fillna(),NaN ,ffill(),Adding NaN Values in column in python https://youtu.be/FR4BIWFhESc 13. Merging,Boolean Reduction, concat(),axis, any(),empty(),all() in Dataframe https://youtu.be/u-h2vYbpmLI Join our telegram channel https://t.me/virtualpathshala Do share and subscribe for more upcoming videos For sponsorship or partnership , write us at [email protected]