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TRB Python
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04 Commonly used Python libraries
1:35
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03 pip install import and alias
1:34
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02 Built in vs external module package library
1:32
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01 What is a Python library
1:34
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33 Summary key terms and functions
1:31
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32 Choosing the right library
1:33
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31 NumPy vs Pandas and the comparison chart
1:31
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30 Integration and interpolation
1:27
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29 Signal processing low pass filter
1:34
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28 Statistics and the t test
1:31
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27 Optimization with minimize
1:30
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26 Linear algebra with scipy linalg
1:33
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25 NumPy vs SciPy and the SciPy modules
1:34
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24 SciPy what it is why and quad
1:34
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23 Why visualize and Pandas plotting
1:35
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22 Titles labels legends and styling
1:33
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21 Scatter plot and histogram
1:30
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20 Bar chart and pie chart
1:29
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19 Line chart
1:31
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18 Matplotlib and the need for visualization
1:32
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17 Basic data analysis and a mini project
1:33
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16 Handling missing values
1:27
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15 head tail loc and iloc
1:30
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14 Reading a CSV file
1:29
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13 The DataFrame and how to create it
1:28
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12 Pandas Series
1:29
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11 Pandas what it is and why
1:31
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10 NumPy statistics mean median std
1:35
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09 Element wise array maths
1:29
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08 Array indexing and slicing
1:30
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07 1D and 2D arrays shape size dtype ndim
1:33
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