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Master Python and Data Libraries Comprehensive Bootcamp

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6:09:43

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  • 01-download and install the working tools.mp4
    01:20
  • 02-jupyter overview and markdown in jupyter tutorial.mp4
    06:46
  • 03-using jupyter notebook for coding with python.mp4
    05:41
  • 04-use anaconda prompt.mp4
    03:14
  • 05-variables and types tutorial.mp4
    10:37
  • 06-describe whats inside the code.mp4
    04:44
  • 07-define blocks and avoid indentationerror.mp4
    04:19
  • 08-string full tutorial.mp4
    13:43
  • 09-numbers math and f-string tutorial.mp4
    15:13
  • 10-handling inputs and outputs.mp4
    04:29
  • 11-structure data using lists.mp4
    21:02
  • 12-structure data using tuples.mp4
    10:31
  • 13-structure data using dictionaries.mp4
    08:04
  • 14-structure data using sets.mp4
    07:21
  • 15-comparing values.mp4
    08:36
  • 16-output from logics.mp4
    06:48
  • 17-conditional statements.mp4
    08:55
  • 18-the while loop.mp4
    02:56
  • 19-the for loop in python.mp4
    07:18
  • 20-python library functions.mp4
    11:21
  • 21-user-defined functions.mp4
    07:30
  • 22-the lambda power.mp4
    08:50
  • 23-the break statement.mp4
    04:05
  • 24-the continue statement.mp4
    04:34
  • 25-for else statement.mp4
    02:15
  • 26-project app to put all together.mp4
    01:43
  • 27-core python oop classes and instances.mp4
    12:01
  • 28-core python oop exploring inheritance.mp4
    10:10
  • 29-comprehensions.mp4
    05:52
  • 30-constructed modules and random.mp4
    06:37
  • 31-doing mathematics.mp4
    04:46
  • 32-doing statistics.mp4
    04:17
  • 33-errors exploration.mp4
    04:28
  • 34-exceptions playground.mp4
    06:44
  • 35-io data in memory .mp4
    07:11
  • 36-interacting with operating system data.mp4
    03:03
  • 37-moving data files between directories.mp4
    04:41
  • 38-data will be in the trash bin.mp4
    04:16
  • 39-zipping and unzipping data.mp4
    06:49
  • 40-numpy level 1.mp4
    07:09
  • 41-numpy level 2.mp4
    05:03
  • 42-numpy level 3.mp4
    02:25
  • 43-numpy level 4.mp4
    03:44
  • 44-numpy level 5.mp4
    05:38
  • 45-numpy level 6.mp4
    03:49
  • 46-numpy level 7.mp4
    03:46
  • 47-numpy level 8.mp4
    03:19
  • 48-numpy level 9.mp4
    03:07
  • 49-pandas data analysis level 1.mp4
    03:49
  • 50-pandas data analysis level 2.mp4
    04:41
  • 51-pandas data analysis level 3.mp4
    02:18
  • 52-pandas data analysis level 4.mp4
    03:31
  • 53-pandas data analysis level 5.mp4
    02:52
  • 54-pandas data analysis level 6.mp4
    04:30
  • 55-matplotlib data visualization part1.mp4
    02:57
  • 56-matplotlib data visualization part2.mp4
    01:31
  • 57-matplotlib data visualization part3.mp4
    03:05
  • 58-matplotlib data visualization part4.mp4
    03:13
  • 59-matplotlib data visualization part5.mp4
    01:36
  • 60-matplotlib data visualization part6.mp4
    03:01
  • 61-matplotlib data visualization part7.mp4
    02:32
  • 62-seaborn statistical graphs level 1.mp4
    03:41
  • 63-seaborn statistical graphs level 2.mp4
    01:56
  • 64-seaborn statistical graphs level 3.mp4
    01:16
  • 65-seaborn statistical graphs level 4.mp4
    01:39
  • 66-seaborn statistical graphs level 5.mp4
    02:30
  • 67-seaborn statistical graphs level 6.mp4
    02:30
  • 68-seaborn statistical graphs level 7.mp4
    01:49
  • 69-python programming resources.mp4
    00:39
  • 70-numpy resources.mp4
    00:28
  • 71-pandas resources.mp4
    00:24
  • 72-matplotlib resources.mp4
    00:35
  • 73-seaborn resources.mp4
    00:28
  • 74-intro.mp4
    01:22
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    Skillshare is an online learning community based in the United States for people who want to learn from educational videos. The courses, which are not accredited, are only available through paid subscription.
    • language english
    • Training sessions 74
    • duration 6:09:43
    • Release Date 2024/03/07