This document provides an overview and introduction to key Python libraries for data analysis: NumPy, Matplotlib, Pandas, and their main applications. It covers NumPy and its ndarrays, functions, random number generation and linear algebra capabilities. For Matplotlib, it discusses figures, axes, subplots, and plot types. It then outlines Pandas Series and DataFrame basics, data selection, manipulation, cleansing and methods. It also covers Pandas data analysis tools like the Iris data use case, data summarization, reporting, visualization and statistics. Finally, it introduces Pandas time series objects and applications.

1. Python for Data Analysis
Sherif Rasmy
• Numpy
• Matplotlib
• Pandas
Python Snippets Series

2. Contents
Sherif Rasmy 2Python for Data Analysis - Overview
• Numpy
• Matplotlib
• Pandas
o Series: basics, methods
o Data Frames: basics, data selection, Data manipulation, data cleansing, methods
o Data Analysis: data life cycle, Iris data analysis use case, data summarization, reporting, visualization, statistics
o Time Series: Files, sys and os, csv, json, math, statistics
o Software Architecture, Object Orientated Design Principles, Classes,
Inheritance, Composition, Dunder Methods
o ndarrays, functions, random, linear algebra

3. Python Libraries
Sherif Rasmy
Numpy
ndarrays, functions, random, linear algebra

4. ndarrays
Sherif Rasmy 2Python Libraries - Numpy

5. ndarrays
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6. ndarrays
Sherif Rasmy 4Python Libraries - Numpy

7. ndarrays
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8. ndarrays
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9. ndarrays
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10. ndarrays
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11. ndarrays
Sherif Rasmy 9Python Libraries - Numpy

12. ndarrays
Sherif Rasmy 10Python Libraries - Numpy

13. ndarrays
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14. ndarrays
Sherif Rasmy 12Python Libraries - Numpy

15. Functions
Sherif Rasmy 13Python Libraries - Numpy

16. Functions
Sherif Rasmy 14Python Libraries - Numpy

17. Functions
Sherif Rasmy 15Python Libraries - Numpy

18. Functions
Sherif Rasmy 16Python Libraries - Numpy

19. Functions
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20. Functions
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21. Random
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22. Random
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23. Linear Algebra
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24. Linear Algebra
Sherif Rasmy 22Python Libraries - Numpy

25. Sherif Rasmy
Python Libraries
Matplotlib

26. Matplotlib
Sherif Rasmy 2Python Libraries - Matplotlib

27. Matplotlib
Sherif Rasmy 3Python Libraries - Matplotlib
Figure
Axes Subplot
Plot

28. Matplotlib
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29. Matplotlib
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30. Matplotlib
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31. Matplotlib
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32. Matplotlib
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33. Matplotlib
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34. Matplotlib
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35. Matplotlib
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36. Growth
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37. Growth
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38. Growth
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39. Growth
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40. Sherif Rasmy
Python Libraries
Pandas Series
Basics, methods

41. Series Basics
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42. Series Basics
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43. Series Basics
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44. Series Basics
Sherif Rasmy 5Python Libraries – Pandas Series

45. Series Basics
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46. Series Basics
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47. Series Basics
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48. Series Methods
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49. Series Methods
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50. Series Methods
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51. Series Methods
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52. Series Methods
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53. Series Methods
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54. Series Methods
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55. Series Methods
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56. Series Methods
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57. Series Methods
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58. Series Methods
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59. Series Methods
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60. Series Methods
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61. Sherif Rasmy
Python Libraries
Pandas Data Frames
Basics, data selection, data manipulation, data cleansing, methods

62. Data Frame Basics
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63. Data Frame Basics
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64. Data Frame Basics
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65. Data Frame Basics
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66. Data Frame Basics
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67. Data Frame Basics
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68. Data Frame Basics
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69. Data Frame Data Selection
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70. Data Frame Data Selection
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71. Data Frame Data Selection
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72. Data Frame Data Selection
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73. Data Frame Data Selection
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74. Data Frame Data Selection
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75. Data Frame Data Manipulation
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76. Data Frame Data Manipulation
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77. Data Frame Data Manipulation
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78. Data Frame Data Manipulation
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79. Data Frame Data Manipulation
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80. Data Frame Data Manipulation
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81. Data Frame Data Cleansing
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82. Data Frame Data Cleansing
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83. Data Frame Data Cleansing
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84. Data Frame Data Cleansing
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85. Data Frame Data Cleansing
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86. Data Frame Methods
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87. Data Frame Methods
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88. Data Frame Methods
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89. Data Frame Methods
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90. Data Frame Methods
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91. Data Frame Methods
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92. Sherif Rasmy
Python Libraries
Pandas Data Analysis
Data Life Cycle, Iris Data Analysis Use Case, Data Summarization,
Reporting, Visualization, Statistics

93. Data Life Cycle
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94. Iris Data Analysis
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http://www.lac.inpe.br/~rafael.santos/Docs/CAP394/WholeStory-Iris.html

95. Iris Data Analysis
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96. Iris Data Analysis
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97. Iris Data Analysis
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98. Data Summarization
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99. Data Summarization
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100. Data Summarization
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101. Data Summarization
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102. Data Summarization
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103. Data Summarization
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104. Data Summarization
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105. Data Summarization
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106. Data Visualization
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107. Data Visualization
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108. Data Visualization
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109. Data Visualization
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110. Data Visualization
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111. Data Visualization
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112. Data Visualization
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113. Data Visualization
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114. Data Visualization
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115. Data Visualization
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116. Data Visualization
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117. Data Visualization
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118. Data Visualization
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119. Statistics
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120. Statistics
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121. Statistics
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122. Statistics
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123. Statistics
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124. Statistics
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125. Statistics
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126. Statistics
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127. Statistics
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128. Sherif Rasmy
Python Libraries
Pandas Time Series
Pandas Timestamp, Datetime Index, Period, Period Index,
Time Series Applications

129. Pandas Time Series Related Objects
Sherif Rasmy 2Python Libraries – Pandas Time Series

130. Pandas Timestamp and Datetime Index
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131. Pandas Timestamp and Datetime Index
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132. Pandas Timestamp and Datetime Index
Sherif Rasmy 5Python Libraries – Pandas Time Series

133. Pandas Timestamp and Datetime Index
Sherif Rasmy 6Python Libraries – Pandas Time Series

134. Pandas Timestamp and Datetime Index
Sherif Rasmy 7Python Libraries – Pandas Time Series

135. Pandas Period and Period Index
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136. Pandas Period and Period Index
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137. Pandas Period and Period Index
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138. Pandas Period and Period Index
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139. Pandas Period and Period Index
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140. Pandas Period and Period Index
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141. Time Series Applications
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142. Time Series Applications
Sherif Rasmy 15Python Libraries – Pandas Time Series

143. Time Series Applications
Sherif Rasmy 16Python Libraries – Pandas Time Series