srrDB

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  • U: Anonymous
  • D: 2019-11-18 19:51:48
  • C: Unknown

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ReScene version pyReScene Auto 0.7 ZH File size CRC
Download
17,325
Stored files
1,357 08588EB6
196 8E213129
RAR-files
llpfm-cfdb-zh.rar 50,000,000 FCF0E7E0
llpfm-cfdb-zh.r00 50,000,000 B93F72E7
llpfm-cfdb-zh.r01 50,000,000 ACB4FCD8
llpfm-cfdb-zh.r02 50,000,000 5F4A8795
llpfm-cfdb-zh.r03 50,000,000 AF485979
llpfm-cfdb-zh.r04 50,000,000 26B909E2
llpfm-cfdb-zh.r05 24,939,383 48760D3F
Total size: 324,939,383
Archived files
Python for Marketing\05 - Visualizing Marketing Data in Python\02 - Import, explore, and plot a basic chart.srt 7,185 231A3708
Python for Marketing\05 - Visualizing Marketing Data in Python\04 - Plotting a secondary y-axis.mp4 [4287a3696c24e32f] 7,430,285 49763994
Python for Marketing\05 - Visualizing Marketing Data in Python\09 - Adding annotations to plots.srt 4,806 90B00458
Python for Marketing\05 - Visualizing Marketing Data in Python\05 - Adding x and y labels to a plot.mp4 [d438e09f8f72dcb3] 8,357,811 4678AB9A
Python for Marketing\05 - Visualizing Marketing Data in Python\10 - Switching between Matplotlib styles.mp4 [567f14ccfa03e102] 4,386,242 95152167
Python for Marketing\05 - Visualizing Marketing Data in Python\06 - Rotating xticks labels on plot.mp4 [aaef638f7f0cd7c9] 6,825,274 E6EB3760
Python for Marketing\05 - Visualizing Marketing Data in Python\08 - Adding a title to your plot.mp4 [4f8721809ba1faae] 4,314,938 87731DF6
Python for Marketing\05 - Visualizing Marketing Data in Python\12 - Customizing a scatter plot in Seaborn.mp4 [8bf0f7eaff2db2ea] 7,417,420 C5BC58C4
Python for Marketing\05 - Visualizing Marketing Data in Python\01 - Custom visualizations in Python.srt 1,201 62C6C4A9
Python for Marketing\05 - Visualizing Marketing Data in Python\02 - Import, explore, and plot a basic chart.mp4 [862c91eb94f5fe8c] 13,699,385 0877D24B
Python for Marketing\05 - Visualizing Marketing Data in Python\07 - Adding a legend to a plot.mp4 [770ad8a90a8ca8c3] 4,212,522 7068B911
Python for Marketing\05 - Visualizing Marketing Data in Python\13 - Creating a Facebook Ads heatmap in Seaborn.srt 4,690 E19B3DAD
Python for Marketing\05 - Visualizing Marketing Data in Python\11 - Using a scatter plot in Seaborn.mp4 [3f310ac4f4a4e061] 3,099,229 42DDBB25
Python for Marketing\05 - Visualizing Marketing Data in Python\03 - Creating Matplotlib subplots.mp4 [f9c25e1e1161840c] 7,565,215 31EFD18B
Python for Marketing\05 - Visualizing Marketing Data in Python\05 - Adding x and y labels to a plot.srt 4,323 B0F29A6A
Python for Marketing\05 - Visualizing Marketing Data in Python\13 - Creating a Facebook Ads heatmap in Seaborn.mp4 [48f0f0ffac3d861c] 10,215,602 CF85B694
Python for Marketing\05 - Visualizing Marketing Data in Python\09 - Adding annotations to plots.mp4 [26e6811ccf492da5] 9,710,166 867B72E7
Python for Marketing\05 - Visualizing Marketing Data in Python\04 - Plotting a secondary y-axis.srt 4,117 8B251E99
Python for Marketing\05 - Visualizing Marketing Data in Python\01 - Custom visualizations in Python.mp4 [80d505186a6700e2] 1,988,876 A3903AD2
Python for Marketing\05 - Visualizing Marketing Data in Python\10 - Switching between Matplotlib styles.srt 1,632 95356B7A
Python for Marketing\08 - Creating Helpful Alerts\02 - Creating simple alerts.mp4 [65461ccda45821e] 5,058,085 B44A503B
Python for Marketing\08 - Creating Helpful Alerts\03 - Calculating two date ranges.mp4 [48e33592e7682719] 8,118,667 4582014E
Python for Marketing\08 - Creating Helpful Alerts\04 - Creating alerts with actions.mp4 [41854c1e52e5b5b5] 12,037,664 76749077
Python for Marketing\08 - Creating Helpful Alerts\01 - Intro to alert calculations.mp4 [3beb3f3934bb133b] 612,865 A031AFE2
Python for Marketing\08 - Creating Helpful Alerts\01 - Intro to alert calculations.srt 488 9AF4BD08
Python for Marketing\08 - Creating Helpful Alerts\02 - Creating simple alerts.srt 2,478 C35365C5
Python for Marketing\08 - Creating Helpful Alerts\04 - Creating alerts with actions.srt 6,256 4A554D87
Python for Marketing\07 - Calculating, Filtering, and Creating New Metrics\02 - Calculating metrics.mp4 [306749680124ee48] 14,071,637 A4384328
Python for Marketing\07 - Calculating, Filtering, and Creating New Metrics\01 - Introduction to calculating and filtering.srt 1,161 78784BEA
Python for Marketing\07 - Calculating, Filtering, and Creating New Metrics\03 - Filtering data.mp4 [70480f88bc40880d] 12,106,544 5B052512
Python for Marketing\07 - Calculating, Filtering, and Creating New Metrics\01 - Introduction to calculating and filtering.mp4 [115c9cbbf1931de9] 1,581,141 421BF0B0
Python for Marketing\07 - Calculating, Filtering, and Creating New Metrics\03 - Filtering data.srt 5,497 357EBE08
Python for Marketing\04 - Cleaning, Wrangling, and Joining Your Data\04 - Creating new datasets with Groupby.srt 4,909 B6CC6555
Python for Marketing\04 - Cleaning, Wrangling, and Joining Your Data\09 - Saving your data to a CSV.mp4 [19caf859d1a9f8af] 2,159,919 80F304F5
Python for Marketing\04 - Cleaning, Wrangling, and Joining Your Data\07 - Replacing missing Facebook Ad data.srt 1,691 C26580EC
Python for Marketing\04 - Cleaning, Wrangling, and Joining Your Data\01 - Introduction to data wrangling.mp4 [eca44148a9f47bbc] 2,297,307 3B3B8344
Python for Marketing\04 - Cleaning, Wrangling, and Joining Your Data\06 - Dropping columns.mp4 [6218416e0eb19ea] 6,648,639 5C37B67D
Python for Marketing\04 - Cleaning, Wrangling, and Joining Your Data\05 - Rebuilding Google Analytics data.mp4 [f056db908840645b] 10,332,083 791C4262
Python for Marketing\04 - Cleaning, Wrangling, and Joining Your Data\02 - Fixing Google Analytics page data.srt 6,355 4F098A6A
Python for Marketing\04 - Cleaning, Wrangling, and Joining Your Data\02 - Fixing Google Analytics page data.mp4 [a17108d546522cb2] 12,156,156 4B93A0E1
Python for Marketing\04 - Cleaning, Wrangling, and Joining Your Data\03 - Preparing data to be grouped.srt 3,560 418AE7E6
Python for Marketing\04 - Cleaning, Wrangling, and Joining Your Data\07 - Replacing missing Facebook Ad data.mp4 [44e481a303651a7c] 3,676,720 9943B9CF
Python for Marketing\04 - Cleaning, Wrangling, and Joining Your Data\03 - Preparing data to be grouped.mp4 [148209318bdd600d] 8,052,765 FF990C2A
Python for Marketing\04 - Cleaning, Wrangling, and Joining Your Data\04 - Creating new datasets with Groupby.mp4 [c973d386246214b3] 9,754,672 1DED1AE5
Python for Marketing\04 - Cleaning, Wrangling, and Joining Your Data\08 - Merging Google Analytics and Search Console.mp4 [5c3b45306cdd36c8] 5,030,230 0C109478
Python for Marketing\Exercise Files\Ex_Files_Python_Marketing.zip 1,851,759 1FA99F19
Python for Marketing\02 - The Role of Python in Marketing\01 - Prerequisites.mp4 [83f55aa0edc5bb9f] 1,046,533 1B8FF065
Python for Marketing\02 - The Role of Python in Marketing\02 - Why Python is great for marketers.mp4 [6f521f155a5028c9] 3,657,900 E7722C26
Python for Marketing\02 - The Role of Python in Marketing\02 - Why Python is great for marketers.srt 2,418 4F3AE545
Python for Marketing\02 - The Role of Python in Marketing\03 - Why Python is valuable for marketers.mp4 [77e2974cd54690e8] 2,233,625 17445938
Python for Marketing\09 - Conclusion\01 - Next steps.mp4 [2fc8d9fc4a955b93] 3,727,656 51D91722
Python for Marketing\01 - Introduction\01 - Accelerate your marketing with Python.mp4 [5fe3db5a3a068590] 4,023,585 02AE4CF1
Python for Marketing\01 - Introduction\01 - Accelerate your marketing with Python.srt 2,201 C8BFE349
Python for Marketing\06 - Working with Timeseries\02 - Fixing missing values.mp4 [1826573a1615694a] 10,109,999 F4DAF785
Python for Marketing\06 - Working with Timeseries\05 - Plotting weekly PPC and CPC data.mp4 [6cd66072ade94341] 5,695,283 1B0708AD
Python for Marketing\06 - Working with Timeseries\06 - Adding dynamic annotations to a plot.mp4 [d27d866335c6c1b] 9,224,757 63B763C5
Python for Marketing\06 - Working with Timeseries\01 - Time series notebook.srt 846 BA2FB2A0
Python for Marketing\06 - Working with Timeseries\04 - Rolling average plots.srt 4,307 99653500
Python for Marketing\06 - Working with Timeseries\03 - Resampling time series data.srt 3,081 5CC0FBFB
Python for Marketing\06 - Working with Timeseries\04 - Rolling average plots.mp4 [ddcd49812e5208bc] 9,381,421 9A0C6442
Python for Marketing\06 - Working with Timeseries\03 - Resampling time series data.mp4 [6fe4e7958a2618fc] 5,147,427 7FAE061F
Python for Marketing\06 - Working with Timeseries\01 - Time series notebook.mp4 [f6c8ff52f8fe29e3] 1,343,952 D22D4CF9
Python for Marketing\03 - Loading and Exploring Your Data\09 - Visualizing Google Trends data.srt 2,283 2A49F8A7
Python for Marketing\03 - Loading and Exploring Your Data\08 - Plotting Facebook and Google Ads data.srt 5,082 519F50CA
Python for Marketing\03 - Loading and Exploring Your Data\06 - Accessing the Google Trends API.srt 3,236 7E3B1B9B
Python for Marketing\03 - Loading and Exploring Your Data\09 - Visualizing Google Trends data.mp4 [46d0a38c16dc4e49] 4,525,263 DE428DE6
Python for Marketing\03 - Loading and Exploring Your Data\03 - Importing Google Analytics data.mp4 [b8763245e612d25a] 16,585,498 9A2C93B3
Python for Marketing\03 - Loading and Exploring Your Data\07 - Visualizing Google data.srt 4,216 F7E2A610
Python for Marketing\03 - Loading and Exploring Your Data\01 - Introduction to pandas.mp4 [d0f2bc7b0c46fd5c] 3,284,066 2038E372
Python for Marketing\03 - Loading and Exploring Your Data\04 - Importing Google Search Console data.mp4 [d28878d34e9beed1] 3,017,813 2DB85C14
Python for Marketing\03 - Loading and Exploring Your Data\08 - Plotting Facebook and Google Ads data.mp4 [c38aa2ee5e627f98] 9,914,935 FABC6A78
Python for Marketing\03 - Loading and Exploring Your Data\03 - Importing Google Analytics data.srt 6,968 222ED10A
Python for Marketing\03 - Loading and Exploring Your Data\05 - Importing Facebook and AdWords data.mp4 [fd07b35046c879aa] 8,768,258 9C01EBA5
Python for Marketing\03 - Loading and Exploring Your Data\02 - Installing Jupyter.mp4 [d4765128d60963fb] 4,163,038 15868916
Python for Marketing\03 - Loading and Exploring Your Data\06 - Accessing the Google Trends API.mp4 [559e913de60fc29] 6,608,668 1069B008
Python for Marketing\03 - Loading and Exploring Your Data\05 - Importing Facebook and AdWords data.srt 3,837 0647530A
Python for Marketing\03 - Loading and Exploring Your Data\07 - Visualizing Google data.mp4 [4424285db589aeae] 7,598,639 2F04A63E
Python for Marketing\05 - Visualizing Marketing Data in Python 0 00000000
Python for Marketing\08 - Creating Helpful Alerts 0 00000000
Python for Marketing\07 - Calculating, Filtering, and Creating New Metrics 0 00000000
Python for Marketing\04 - Cleaning, Wrangling, and Joining Your Data 0 00000000
Python for Marketing\Exercise Files 0 00000000
Python for Marketing\02 - The Role of Python in Marketing 0 00000000
Python for Marketing\09 - Conclusion 0 00000000
Python for Marketing\01 - Introduction 0 00000000
Python for Marketing\06 - Working with Timeseries 0 00000000
Python for Marketing\03 - Loading and Exploring Your Data 0 00000000
Python for Marketing 0 00000000
Total size: 324,926,958
RAR Recovery
Not Present
Labels UNKNOWN
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