Pandas Tutorial Part-1 | PyCSR | Learn Python Online with Pankaj Soni

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In this video you are going to learn followings:
1. Introduction to Pandas
2. Pandas Series
3. empty series
4. series with list/tuple data
5. series using numpy array
6. series using dictionary
7. series using index names
8. series with scalar values
9. Indexing/Slicing for Series
10. Data Frames
11. Empty DataFrame
12. Using Default option to create DataFrame
13. DataFrame using List/Tuple
14. DataFrame using numpy array
15. DataFrame using Dictionary
16. Attributes and Methods of a DataFrame
17. setting name for rows and columns
18. Indexing/Slicing for Series
19. using [] notation
20. using . notation
21. To Transpose DataFrame
22. Slicing for Data Frames
23. How to see top rows and bottom rows of a DataFrame
24. Setting options for DataFrame visualization
25. Basic Operations With Data frame
26. Renaming Columns
27. adding columns in DataFrame
28. adding rows in DataFrame
29. filtering data from a data frame.
30. Difference between Size and Count()
31. Descriptive Statistics
32. min()
33. max()
34. count()
35. mean()
36. median()
37. std()
38. var()
39. cov()
40. corr()
41. mode()
42. cumsum()
44. cumax()
45. cumprod()
46. abs()
47. prod()
48. Dataframe transformation functions
49. use of apply()
50. use of applymap()
51. apply custom function
52. sort and merging dataframes
53. Importing external data to DataFrame
54. reading CSV file
55. reading XLSX file
56. reading xlsx file with specific sheet name/number
57. reading HTML file
58. WebScrapping and fetching Table data
59. Exporting DataFrame to external file .csv,.html etc

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