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  • U: tox2
  • D: 2022-08-15 23:01:59
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ReScene version pyReScene 0.7 SkilledHares File size CRC
Download
9,868
Stored files
1,767 09A5FA2B
1,056 054E5D4D
RAR-files
skillshare.the.complete.exploratory.analysis.course.with.pandas.2021-skilledhares.rar 300,000,000 0CC95D7B
skillshare.the.complete.exploratory.analysis.course.with.pandas.2021-skilledhares.r00 300,000,000 796FD583
skillshare.the.complete.exploratory.analysis.course.with.pandas.2021-skilledhares.r01 300,000,000 AF99A0A7
skillshare.the.complete.exploratory.analysis.course.with.pandas.2021-skilledhares.r02 300,000,000 86326521
skillshare.the.complete.exploratory.analysis.course.with.pandas.2021-skilledhares.r03 300,000,000 45B427A9
skillshare.the.complete.exploratory.analysis.course.with.pandas.2021-skilledhares.r04 300,000,000 E50FD86E
skillshare.the.complete.exploratory.analysis.course.with.pandas.2021-skilledhares.r05 300,000,000 250C15AD
skillshare.the.complete.exploratory.analysis.course.with.pandas.2021-skilledhares.r06 300,000,000 88CE5BB5
skillshare.the.complete.exploratory.analysis.course.with.pandas.2021-skilledhares.r07 300,000,000 9B805FF8
skillshare.the.complete.exploratory.analysis.course.with.pandas.2021-skilledhares.r08 300,000,000 3AFCEB04
skillshare.the.complete.exploratory.analysis.course.with.pandas.2021-skilledhares.r09 60,740,698 C06364BC

Total size: 3,060,740,698
Archived files
01-course_structure.mkv [24b8297691b9e102] 10,764,257 02C477E4
02-what_is_the_prerequisite_of_this_course.mkv [877e4497de1e5eaa] 7,519,613 38055BB3
03-how_to_make_the_most_out_of_this_course.mkv [a0f64d0f14450ef6] 10,117,350 01E1EF0D
04-important_note_about_tools_in_this_course.mkv [adc6d2c472c41066] 6,264,743 2C1A0D1E
05-using_advanced_options_while_reading_data_from_csv_files.mkv [559568407bfed9a2] 207,352,699 AFC9E27D
06-reading_data_from_excel_files.mkv [13cc65689b0c00b3] 257,454,455 1BB25F6F
07-reading_data_from_other_popular_formats.mkv [cd68d7e7b749d7ff] 177,142,682 AFD7BC31
08-introduction_to_datasets.mkv [a6c837db420bcbe5] 74,072,013 0811D657
09-sorting_a_pandas_dataframe.mkv [34285eaff67a5cd3] 135,839,686 1DB6B740
10-filtering_rows_of_a_pandas_dataframe.mkv [d4537379c494e9b9] 104,076,588 9C8AC7F6
11-applying_multiple_filter_criteria_to_a_pandas_dataframe.mkv [b96258aa2f9338ba] 180,129,496 31316053
12-using_the_axis_parameter_in_pandas.mkv [e51ac7b74447d014] 121,436,507 A9EEF69A
13-using_string_methods_in_pandas.mkv [61e7d3e6b6de3f53] 79,654,982 25472FA8
14-changing_the_datatype_of_a_pandas_series.mkv [7cb5cba9f1631215] 95,829,327 DD39F61C
15-summary_of_what_we_have_done_so_far.mkv [9ca67c1143d48b2b] 22,054,163 B34A42A5
16-modifying_a_pandas_dataframe_using_the_inplace_parameter.mkv [9f0997a446f06aa4] 136,543,990 1CE3BD3E
17-using_the_groupby_method.mkv [c66976de9c2ecf5b] 163,941,182 36EC023A
18-handling_missing_values_in_pandas.mkv [aa78b9dcef4c3176] 135,395,288 70754CEA
19-indexing_in_pandas_dataframes.mkv [233b8a82fdf84fb8] 91,987,345 C48ACB6B
20-renaming_columns_in_a_pandas_dataframe.mkv [d5f7ef1ae52a85f] 94,408,740 8F767F44
21-removing_columns_from_a_pandas_dataframe.mkv [c38f88103922e76d] 94,426,620 415319BF
22-working_with_date_and_time_series_data.mkv [545199ef20c323ee] 125,984,589 73C13AA7
23-applying_a_function_to_a_pandas_series_or_dataframe.mkv [62537538ed193570] 74,806,946 8D6AA4C4
24-merging_and_concatenating_multiple_dataframes_into_one.mkv [14f944524b223923] 111,214,609 04E818E8
25-summary_of_what_we_have_done_so_far.mkv [1728cbd88b35d5c6] 10,246,039 E7566F56
26-controlling_plot_aesthetics.mkv [11005d76f3b94c3e] 191,592,032 FAD7B41A
27-choosing_the_colors_for_plots.mkv [96a6d07105360504] 107,384,694 C376B016
28-plotting_categorical_data.mkv [9d6277c67c1f9d1d] 74,656,898 0535443B
29-plotting_with_data-aware_grids.mkv [2c29994d478f87f6] 130,551,504 3F7E6D58
30-summary_of_what_we_have_done_so_far.mkv [a283d08d6047cbb5] 7,533,258 37F90B61
31-thank_you.mkv [99aa5b987bc4fb96] 20,354,694 29B4C66C

Total size: 3,060,736,989
RAR Recovery
Not Present
Labels UNKNOWN