CBTNuggets - Python and pandas for Data Manipulation

1. Introduction.mp4

46.53 MB

10. Data Types Review.mp4

60.19 MB

100. Sorting values.mp4

150.32 MB

101. Sort by indices.mp4

56.45 MB

102. Ranking a Series.mp4

145.32 MB

103. Introduction.mp4

48.09 MB

104. Checking for Duplicates.mp4

106.81 MB

105. Drop Duplicates.mp4

95.05 MB

106. Unique Values.mp4

85.59 MB

107. Inclusion with between().mp4

114.66 MB

108. Introduction.mp4

37.02 MB

109. Setting and Resetting Indices.mp4

133.83 MB

11. Cell Types.mp4

76.56 MB

110. Extraction with loc.mp4

120.46 MB

111. Extraction with iloc.mp4

109.88 MB

112. Setting New Values.mp4

64.8 MB

113. Set Multiple Values.mp4

96.3 MB

12. Shortcuts.mp4

33.59 MB

13. Introduction.mp4

58.15 MB

14. Create a Series from a List.mp4

96.09 MB

15. Create a Series from a Dictionary.mp4

51.53 MB

16. Read CSV files.mp4

104.89 MB

17. Read Excel files.mp4

69.88 MB

18. Head and Tail Functions.mp4

93.45 MB

19. Series Attributes.mp4

53.17 MB

2. What is Pandas.mp4

100.15 MB

20. Series Methods.mp4

60.19 MB

21. Introduction.mp4

27.22 MB

22. The In Keyword.mp4

62.14 MB

23. Extract by Position.mp4

88.22 MB

24. Extract by Label.mp4

142.95 MB

25. The get() Method.mp4

109.84 MB

26. Math methods.mp4

69.7 MB

27. The idxmin() and idxmax() Methods.mp4

34.1 MB

28. Unique Values.mp4

46.85 MB

29. The apply() Method.mp4

61.76 MB

3. What is Jupyter Notebook.mp4

59.49 MB

30. Introduction.mp4

44.92 MB

31. Handling null values.mp4

73.65 MB

32. Drop null values.mp4

99.98 MB

33. Impute missing values.mp4

66.57 MB

34. Value counts for DataFrames.mp4

54.76 MB

35. Detect null and not null values.mp4

76.83 MB

36. Introduction.mp4

77.91 MB

37. Optimization.mp4

164.97 MB

38. Conditional Filtering.mp4

185.94 MB

39. Filtering with AND and OR.mp4

159.55 MB

4. Anaconda Installation.mp4

98.43 MB

40. Inclusion Method.mp4

101.45 MB

41. Introduction.mp4

45.45 MB

42. The Drop Method.mp4

72.31 MB

43. Returning Smallest and Largest Values.mp4

115.06 MB

44. The Where Method.mp4

103.81 MB

45. The Query Method.mp4

112.13 MB

46. The Copy Method.mp4

101.31 MB

47. Introduction.mp4

29.31 MB

48. Manipulating Text Data.mp4

148.44 MB

49. String Methods.mp4

147.35 MB

5. Conda Environments.mp4

72.49 MB

50. The Replace String Method.mp4

115.62 MB

51. Filtering String Methods.mp4

116 MB

52. Strip Strings.mp4

203.62 MB

53. Column and Index Methods.mp4

110.59 MB

54. Splitting Strings.mp4

87.59 MB

55. More Splitting.mp4

83.08 MB

56. Introduction.mp4

36.87 MB

57. Grouping.mp4

118.56 MB

58. Group_by Operations.mp4

162.29 MB

59. Get_group Method.mp4

126.31 MB

6. Challenge.mp4

155.81 MB

60. The Group_by Methods.mp4

185.27 MB

61. Introduction.mp4

60.95 MB

62. Combining DataFrame.mp4

64.46 MB

63. Concatenation.mp4

172.53 MB

64. Inner Joins.mp4

104.93 MB

65. Outer Joins.mp4

40.59 MB

66. DatetimeIndex.mp4

59.89 MB

67. The to_datetime Method.mp4

96.78 MB

68. Introduction.mp4

31.96 MB

69. Date Ranges Part 1 Video 1-A.mp4

106.07 MB

7. Introduction.mp4

112.26 MB

70. Date Ranges Part 1 Video 1-B.mp4

108.92 MB

71. Date Ranges Part 1 Video 1-C.mp4

86 MB

72. Date Ranges Part 2.mp4

120.03 MB

73. Date Ranges Part 3.mp4

87.4 MB

74. The dt Accessor.mp4

119.91 MB

75. Introduction & Setup.mp4

128.61 MB

76. Reading Cryptocurrency Data.mp4

179.8 MB

77. Selecting Datetime Rows.mp4

134.19 MB

78. Timestamp Attributes & Methods.mp4

111.37 MB

79. Introduction.mp4

79.97 MB

8. Brief History.mp4

105.07 MB

80. Matplotlib & PyPlot.mp4

28.34 MB

81. Visualizing Cryptocurrencies.mp4

200.11 MB

82. Customizing Visualizations.mp4

156.04 MB

83. Creating Charts.mp4

147.67 MB

84. Introduction.mp4

28.39 MB

85. Parameter and Arguments.mp4

97.88 MB

86. Sort Values.mp4

74.71 MB

87. Series Attributes.mp4

88.55 MB

88. Series Methods.mp4

93.69 MB

89. Inplace Mutation.mp4

76.93 MB

9. User Interface.mp4

117.39 MB

90. DataFrame Introduction.mp4

176.25 MB

91, Series shared attributes.mp4

67.92 MB

92. Shared methods.mp4

71.41 MB

93. Extracting columns.mp4

58.88 MB

94. Extracting two or more columns.mp4

53.71 MB

95. Adding columns.mp4

67.57 MB

96. Broadcasting Operations.mp4

71.15 MB

97. DataFrames value_counts( ).mp4

66.58 MB

98. Introduction.mp4

36.4 MB

99. Changing data types.mp4

185 MB

CBTNuggets - Python and pandas for Data Manipulation

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