Packt Data Understanding and Data Visualization with Python-XQZT

By Pacman On Mar 30, 2021

Packt Data Understanding and Data Visualization with Python-XQZT | Apps-Tutorials | MKV | 5.92 GiB

655 kb/s 1920×1080 | AAC 2 CH eng

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Another exquisit release
Packt.Data.Understanding.and.Data.Visualization.with.Python-XQZT
     Title: Data Understanding and Data Visualization with Python
 Publisher: Packt
  Category: Data
      Size: 6069M
     Files: 10F
      Date: 2021-03-30
  Course #: 9781801078795
 Published: Packt
   Updated: N/A
       URL: https://www.packtpub.com/video/data/9781801078795
    Author: AI Sciences O
  Duration: 12 hours 16 minutes
 Exer/Code: [X]
Installation:
Unpack that shit, run that shit
Description:
Learn data visualization from scratch

File List (Click to Show)

37M	01.01-about_the_tutor_and_ai_sciences.mkv
33M	01.02-focus_of_the_course.mkv
55M	01.03-content_of_the_course.mkv
70M	02.01-introduction_to_strings.mkv
50M	02.02-multi-line_strings.mkv
102M	02.03-indexing_strings.mkv
112M	02.04-string_methods.mkv
77M	02.05-string_escape_sequences.mkv
52M	03.01-introduction_to_data_structure.mkv
48M	03.02-data_structures-defining_and_indexing.mkv
66M	03.03-data_structures-insertion_and_deletion.mkv
52M	03.04-data_structures-insertion_and_deletion_python_practice.mkv
71M	03.05-data_structures-deep_copy_or_reference_and_slicing.mkv
63M	03.06-data_structures-exploring_methods_using_tab_completion.mkv
48M	03.07-data_structures-abstract_ways.mkv
180M	03.08-data_structures-problem_solving_practice.mkv
53M	04.01-introduction_to_numpy.mkv
97M	04.02-numpy_dimensions.mkv
34M	04.03-numpy_shape_size_and_bytes.mkv
76M	04.04-numpy_arange_and_random_package.mkv
99M	04.05-numpy_random_and_reshape.mkv
108M	04.06-numpy_slicing_combined.mkv
73M	04.07-numpy_masking.mkv
72M	04.08-numpy_broadcasting_and_concatenation.mkv
42M	04.09-numpy_ufuncs_and_speedtest.mkv
134M	04.10-ufuncs_add_sum_and_plus_operators.mkv
83M	04.11-ufuncs_subtract_power_mod.mkv
116M	04.12-ufuncs_comparisons_logical_operators.mkv
56M	04.13-ufuncs_output_argument.mkv
188M	04.14-numpy_playing_with_images.mkv
222M	04.15-numpy_knn_classifier_from_scratch.mkv
64M	04.16-numpy_structured_arrays.mkv
48M	05.01-introduction_to_pandas.mkv
49M	05.02-pandas_series.mkv
64M	05.03-pandas_dataframe.mkv
48M	05.04-pandas_missing_values.mkv
52M	05.05-pandas_loc_and_iloc.mkv
263M	05.06-pandas_in_practice.mkv
104M	05.07-pandas_group_by.mkv
69M	05.08-hierarchical_indexing.mkv
72M	05.09-pandas_rolling.mkv
63M	05.10-pandas_where.mkv
41M	05.11-pandas_clip.mkv
92M	05.12-pandas_merge.mkv
122M	05.13-pandas_pivot_table.mkv
40M	05.14-pandas_strings.mkv
50M	05.15-pandas_datetime.mkv
293M	05.16-pandas_hands-on_covid-19_data.mkv
33M	05.17-pandas_hands-on_covid-19_data_bug_fixed.mkv
45M	06.01-introduction_to_matplotlib.mkv
88M	06.02-matplotlib_multiple_plots.mkv
78M	06.03-matplotlib_colors_and_styles.mkv
79M	06.04-matplotlib_colors_and_styles_shortcuts.mkv
84M	06.05-matplotlib_axis_limits.mkv
57M	06.06-matplotlib_legends_labels.mkv
47M	06.07-matplotlib_set_function.mkv
75M	06.08-matplotlib_markers.mkv
65M	06.09-matplotlib_markers_random_plots.mkv
111M	06.10-matplotlib_scatter_plot.mkv
73M	06.11-matplotlib_contour_plot.mkv
74M	06.12-matplotlib_histograms.mkv
87M	06.13-matplotlib_subplots.mkv
50M	06.14-matplotlib_3d_introduction.mkv
46M	06.15-matplotlib_3d_scatter_plots.mkv
76M	06.16-matplotlib_3d_surface_plots.mkv
90M	07.01-introduction_to_seaborn.mkv
40M	07.02-seaborn_relplot.mkv
45M	07.03-seaborn_relplot_kind_line.mkv
68M	07.04-seaborn_relplot_facets.mkv
46M	07.05-seaborn_catplot.mkv
34M	07.06-seaborn_heatmaps.mkv
38M	08.01-introduction_to_bokeh.mkv
59M	08.02-bokeh_multiplots_markers.mkv
51M	08.03-bokeh_multiplots_grid_plot.mkv
73M	09.01-plotly_3d_interactive_scatter_plot.mkv
49M	09.02-plotly_3d_interactive_surface_plot.mkv
132M	10.01-geographic_maps_with_folium_using_covid-19_data.mkv
98M	11.01-pandas_for_plotting.mkv
8.4M	9781801078795_Code.zip
6.0G	total

File: packt.data.understanding.and.data.visualization.with.python-xqzt-sample.mkv
Size: 5013504 bytes (4.78 MiB), duration: 00:01:01, avg.bitrate: 658 kb/s
Audio: aac, 48000 Hz, stereo (eng)
Video: h264, yuv420p, 1920x1080, 25.00 fps(r) (eng)

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Keywords: Packt, Data, Understanding, and, Data, Visualization, with, Python, XQZT

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