[FreeCoursesOnline Me] O'REILLY - Python for Data Science Complete Video Course Video Training


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Torrent File Content (95 files)


[FreeCoursesOnline.Me] O'REILLY - Python for Data Science Complete Video Course Video Training
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     01 - Python for Data Science Complete Video Course Video Training - Introduction.mp4 -
76.64 MB

     02 - Learning objectives.mp4 -
11.21 MB

     03 - 1.1 History of Python in data science.mp4 -
78.08 MB

     04 - 1.2 Overview of Python data science libraries.mp4 -
44.37 MB

     05 - 1.3 Future trends of Python in AI, ML, and data science.mp4 -
77.54 MB

     06 - Learning objectives.mp4 -
25 MB

     07 - 2.1 Create your first Colab document.mp4 -
328.82 MB

     08 - 2.2 Manage Colab documents.mp4 -
451.8 MB

     09 - 2.3 Use magic functions.mp4 -
156.26 MB

     10 - 2.4 Understand compatibility with Jupyter.mp4 -
258.05 MB

     11 - Learning objectives.mp4 -
28.81 MB

     12 - 3.1 Write procedural code.mp4 -
112.86 MB

     13 - 3.2 Use simple expressions and variables.mp4 -
173.93 MB

     14 - 3.3 Work with the built-in types.mp4 -
66.6 MB

     15 - 3.4 Learn to Print.mp4 -
70.6 MB

     16 - 3.5 Perform basic math operations.mp4 -
167.11 MB

     17 - 3.6 Use classes and objects with dot notation.mp4 -
194.46 MB

     18 - Learning objectives.mp4 -
17 MB

     19 - 4.1 Use string methods.mp4 -
131.93 MB

     20 - 4.2 Format strings.mp4 -
98.69 MB

     21 - 4.3 Manipulate strings - membership, slicing, and concatenation.mp4 -
136.75 MB

     22 - 4.4 Learn to use unicode.mp4 -
74.37 MB

     23 - Learning objectives.mp4 -
22.45 MB

     24 - 5.1 Use lists and tuples.mp4 -
369.96 MB

     25 - 5.2 Explore dictionaries.mp4 -
213.33 MB

     26 - 5.3 Dive into sets.mp4 -
83.03 MB

     27 - 5.4 Work with the numpy array.mp4 -
234.44 MB

     28 - 5.5 Use the Pandas DataFrame.mp4 -
116.78 MB

     29 - 5.6 Use the Pandas Series.mp4 -
71.62 MB

     30 - Learning objectives.mp4 -
24 MB

     31 - 6.1 Convert lists to dicts and back.mp4 -
74.45 MB

     32 - 6.2 Convert dicts to Pandas Dataframe.mp4 -
104.57 MB

     33 - 6.3 Convert characters to integers and back.mp4 -
35.73 MB

     34 - 6.4 Convert between hexadecimal, binary, and floats.mp4 -
101.36 MB

     35 - Learning objectives.mp4 -
24.93 MB

     36 - 7.1 Learn to loop with for loops.mp4 -
44.92 MB

     37 - 7.2 Repeat with while loops.mp4 -
50.23 MB

     38 - 7.3 Learn to handle exceptions.mp4 -
111.94 MB

     39 - 7.4 Use conditionals.mp4 -
168.25 MB

     40 - Learning objectives.mp4 -
22.46 MB

     41 - 8.1 Write and use functions.mp4 -
206.47 MB

     42 - 8.2 Learn to use decorators.mp4 -
210.94 MB

     43 - 8.3 Compose closure functions.mp4 -
132.86 MB

     44 - 8.4 Use lambdas.mp4 -
106.23 MB



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