1 - 01 Python Introduction to Data Science.mp4 (43.43 MB)
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10 - 209 Functions with lists.mp4 (105.57 MB)
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11 - 210 Dictionaries in Python.mp4 (50.29 MB)
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12 - 211 Functions with dictionaries.mp4 (88.28 MB)
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13 - 212 Set in Python.mp4 (92.24 MB)
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14 - 213 Assignment mechanism in Python.mp4 (30.05 MB)
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15 - 214 Conditional instructions in Python.mp4 (67.46 MB)
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16 - 215 Python iteration instructions.mp4 (87.21 MB)
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17 - 216 Creating functions in Python.mp4 (83.42 MB)
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18 - 217 Scripts and modules in Python.mp4 (134.29 MB)
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19 - 218 Error handling in Python.mp4 (140.84 MB)
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2 - 201 Configuration of the development environment.mp4 (74.71 MB)
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20 - 219 Reading and writing files in Python.mp4 (213.47 MB)
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21 - 220 Classes in Python.mp4 (126.32 MB)
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22 - 221 Inheritance of classes in Python.mp4 (101.45 MB)
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23 - 222 Time management functions.mp4 (78.62 MB)
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24 - 223 Practical exercises with Python 1.mp4 (53.04 MB)
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25 - 224 Practical exercises with Python 2.mp4 (132.96 MB)
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26 - 225 Practical exercises with Python 3.mp4 (31.74 MB)
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27 - 226 Practical exercises with Python 4.mp4 (72.52 MB)
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28 - 227 Practical exercises with Python 5.mp4 (17.12 MB)
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29 - 228 Practical exercises with Python 6.mp4 (19.5 MB)
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3 - 202 How to install Python libraries.mp4 (109.94 MB)
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3 - Course-Materials.zip (19.7 MB)
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4 - 203 Basic Notebook Controls.mp4 (133.55 MB)
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5 - 204 Introduction to Python.mp4 (91.8 MB)
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6 - 205 Operations in Python.mp4 (22.24 MB)
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7 - 206 Variables and conversions in Python.mp4 (77.66 MB)
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8 - 207 Strings and functions of modifications.mp4 (94.34 MB)
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9 - 208 Pythons Lists.mp4 (91.36 MB)
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30 - 301 Introduction to Numpy.mp4 (76.16 MB)
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31 - 302 Arrays in Numpy.mp4 (57.33 MB)
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32 - 303 Indexing of matrices in Numpy.mp4 (60.29 MB)
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33 - 304 Copy arange and random in Numpy.mp4 (62.17 MB)
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34 - 305 Data type and conversion to Numpy.mp4 (54.06 MB)
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35 - 306 Mathematical Functions in Numpy.mp4 (130.76 MB)
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36 - 307 Order functions in Numpy.mp4 (42.64 MB)
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37 - 308 Data management functions in Numpy.mp4 (135.87 MB)
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38 - 309 Functions to create arrays in Numpy 1.mp4 (49.92 MB)
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39 - 310 Functions to create arrays in Numpy 2.mp4 (72.49 MB)
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40 - 311 Logical operations in Numpy.mp4 (29.06 MB)
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41 - 312 Random in Numpy.mp4 (99.56 MB)
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42 - 313 Reading files in Numpy.mp4 (87.94 MB)
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43 - 314 Writing files in Numpy.mp4 (116.84 MB)
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44 - 315 Practical exercises with Numpy 1.mp4 (18.61 MB)
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45 - 316 Practical exercises with Numpy 2.mp4 (31.23 MB)
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46 - 317 Practical exercises with Numpy 3.mp4 (18.07 MB)
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47 - 318 Practical exercises with Numpy 4.mp4 (25.66 MB)
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48 - 319 Practical exercises with Numpy 5.mp4 (12.47 MB)
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49 - 320 Practical exercises with Numpy 6.mp4 (12.95 MB)
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50 - 321 Practical exercises with Numpy 7.mp4 (17.3 MB)
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51 - 401 Introduction to Pandas.mp4 (108.18 MB)
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52 - 402 DataFrame and Series in Pandas.mp4 (168.68 MB)
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53 - 403 Indexing methods in Pandas.mp4 (144.91 MB)
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54 - 404 Groupby in Pandas.mp4 (56.4 MB)
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55 - 405 Mathematical Operations in Pandas.mp4 (62.78 MB)
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56 - 406 Indexing and editing of a Series data.mp4 (109.16 MB)
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57 - 407 Indexing editing and deletion of a DataFrame.mp4 (109.84 MB)
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58 - 408 Merge in DataFrame.mp4 (87.49 MB)
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59 - 409 Display options in Pandas.mp4 (138.91 MB)
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60 - 410 Pivot chart in Pandas.mp4 (115.11 MB)
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61 - 411 Managing dates in Pandas 1.mp4 (69.32 MB)
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62 - 412 Managing dates in Pandas 2.mp4 (162.25 MB)
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63 - 413 Processing data in Pandas 1.mp4 (85.59 MB)
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64 - 414 Processing of data in Pandas 2.mp4 (100.44 MB)
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65 - 415 Methods for editing strings in Pandas.mp4 (94.64 MB)
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66 - 416 Advanced indexing methods in Pandas.mp4 (89.75 MB)
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67 - 417 Create graphs in Pandas.mp4 (122.96 MB)
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68 - 418 Memory management for large data.mp4 (383.82 MB)
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