1 - BONUS Python Crash Course
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1 - Variables in Python (4:35)
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2 - Conditionals If statement (4:49)
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3 - Example for If statement (3:36)
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4 - If else statement (2:02)
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5 - Example of If else statement (1:51)
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6 - Nested If statement (3:31)
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7 - Example for Nested If statement (3:51)
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8 - Elif statement (3:40)
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9 - Example for Elif statement (2:24)
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10 - While loop (6:52)
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11 - Example of while loop (3:16)
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12 - For Loop (7:37)
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13 - Example of For Loop (1:56)
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14 - Break Continue Statement (2:37)
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15 - Introduction to containers (17:31)
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16 - Creating and accessing lists in Python (7:06)
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17 - List indexing and slicing (9:05)
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18 - Working with List methods (31:05)
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19 - Working with operators on lists (3:37)
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20 - List Comprehension (3:57)
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21 - Tuple definition (3:35)
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22 - Tuples (3:08)
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23 - Tuple Indexing Slicing (18:15)
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24 - Manipulating Tuples (4:55)
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25 - Unpacking Tuples (1:09)
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26 - Sets (3:48)
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27 - Dictionaries (5:32)
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28 - Basics of dictionary (20:13)
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29 - Accessing dictionary (7:16)
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30 - len str type functions in dictionary (4:15)
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31 - Functions in python (4:28)
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32 - Example program1 on Functions (6:20)
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33 - Example program2 on functions (3:21)
2 - Data Handling using Numpy
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34 - Introduction to modules in python (2:28)
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35 - Creating Displaying 1D array (1:12)
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36 - Understanding 1D array Index (4:17)
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37 - Creating Array of 0s and Array of 1s (1:49)
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38 - Sorting elements in 1D array (1:17)
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39 - Slicing a 1D array (10:29)
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40 - Mathematical Operations on Array (4:22)
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41 - Searching an element in a Array (6:34)
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42 - Filtering an array (4:20)
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43 - Checking whether given array is empty or not (2:55)
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44 - Creating Displaying 2D array (1:03)
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45 - ndim Attribute (2:19)
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46 - Size Attribute (2:30)
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47 - Shape and reshape of array (3:17)
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48 - Creating an Identity Matrix (2:19)
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49 - arange (2:44)
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50 - linspace (1:29)
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51 - Random array (1:22)
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52 - Random matrix (1:17)
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53 - Creating a diagonal matrix (1:04)
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54 - Flatten a Matrix (2:11)
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55 - Computing Trace of a Matrix (3:12)
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56 - Finding Transpose of a Matrix (4:19)
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57 - Negative indexing to access elements in a 2D array (3:27)
3 - Data Handling using Pandas
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59 - Working with series in Pandas (8:07)
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58 - Introduction to Pandas (4:47)
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60 - Combining series with Numpy (5:36)
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61 - Finding number of elements in a series (1:30)
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62 - Computing mean max and min in a series (3:38)
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63 - Sorting a Series (2:49)
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64 - Displaying Unique values in a Series (2:30)
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65 - Summary of series statistics (2:12)
4 - Data Visualization using Matplotlib in Python
5 - Data Visualization using Seaborn in Python
