Addison Wesley Professional Programming with Data Python and Pandas LiveLessons Sneak Peak REPACK-RiDWARE | Apps-Tutorials | MP4 | 7.22 GiB
4 309 kb/s 1280×720 | AAC 317 kb/s 2 CH eng
P R O U D L Y P R E S E N T S
RELEASE NAME : Addison.Wesley.Professional.Programming.with.Data.Python.and
.Pandas.LiveLessons.Sneak.Peak.REPACK-RiDWARE
PUBLISHER : Addison-Wesley Professional
RELEASE DATE : 12-06-2020
SIZE : 78x100MB
TOTAL SIZE : 7391MB
LINK : https://www.informit.com
R E L E A S E I N F O
In Programming with Data: Python and Pandas LiveLessons, data scientist Daniel Gerlanc
prepares learners who have no experience working with tabular data to perform their own
analyses. The video course focuses on both the distinguishing features of Pandas and the
commonalities Pandas shares with other data analysis environments.
Repack note:
It came to our attention that our original release had videos cut at 1m
This was of course not our intention. Enjoy our repack.
R E L E A S E N O T E S
[1] - Unpack
[2] - Open the tutorial
[3] - Enjoy
G R E E T S
C O N T A C T U S
Try to find us and we'll see :)
IRC : No
WWW : No
Email : No
arT'RiDWARE
2o18
7.3G Addison.Wesley.Professional.Programming.with.Data.Python.and.Pandas.LiveLessons.Sneak.Peak.REPACK 165M Addison.Wesley.Professional.Programming.with.Data.Python.and.Pandas.LiveLessons.Sneak.Peak.REPACK/01 - Introduction.mp4 33M Addison.Wesley.Professional.Programming.with.Data.Python.and.Pandas.LiveLessons.Sneak.Peak.REPACK/02 - Learning objectives.mp4 141M Addison.Wesley.Professional.Programming.with.Data.Python.and.Pandas.LiveLessons.Sneak.Peak.REPACK/03 - 1.1 Install Python and Pandas.mp4 81M Addison.Wesley.Professional.Programming.with.Data.Python.and.Pandas.LiveLessons.Sneak.Peak.REPACK/04 - 1.2 Learn two ways to conceptualize a Series.mp4 206M Addison.Wesley.Professional.Programming.with.Data.Python.and.Pandas.LiveLessons.Sneak.Peak.REPACK/05 - 1.3 Create and examine a Series.mp4 126M Addison.Wesley.Professional.Programming.with.Data.Python.and.Pandas.LiveLessons.Sneak.Peak.REPACK/06 - 1.4 Select from a Series.mp4 98M Addison.Wesley.Professional.Programming.with.Data.Python.and.Pandas.LiveLessons.Sneak.Peak.REPACK/07 - 1.5 Write vectorized queries against a Series.mp4 167M Addison.Wesley.Professional.Programming.with.Data.Python.and.Pandas.LiveLessons.Sneak.Peak.REPACK/08 - 1.6 Handle missing data in Pandas.mp4 21M Addison.Wesley.Professional.Programming.with.Data.Python.and.Pandas.LiveLessons.Sneak.Peak.REPACK/09 - Learning objectives.mp4 117M Addison.Wesley.Professional.Programming.with.Data.Python.and.Pandas.LiveLessons.Sneak.Peak.REPACK/10 - 2.1 Learn different conceptualizations of a DataFrame.mp4 105M Addison.Wesley.Professional.Programming.with.Data.Python.and.Pandas.LiveLessons.Sneak.Peak.REPACK/11 - 2.2 Create a DataFrame.mp4 130M Addison.Wesley.Professional.Programming.with.Data.Python.and.Pandas.LiveLessons.Sneak.Peak.REPACK/12 - 2.3 Select only columns or rows from a DataFrame.mp4 155M Addison.Wesley.Professional.Programming.with.Data.Python.and.Pandas.LiveLessons.Sneak.Peak.REPACK/13 - 2.4 Select both rows and columns of a DataFrame.mp4 237M Addison.Wesley.Professional.Programming.with.Data.Python.and.Pandas.LiveLessons.Sneak.Peak.REPACK/14 - 2.5 Modify a DataFrame in place.mp4 95M Addison.Wesley.Professional.Programming.with.Data.Python.and.Pandas.LiveLessons.Sneak.Peak.REPACK/15 - 2.6 Align and add a column to a DataFrame.mp4 29M Addison.Wesley.Professional.Programming.with.Data.Python.and.Pandas.LiveLessons.Sneak.Peak.REPACK/16 - Learning objectives.mp4 164M Addison.Wesley.Professional.Programming.with.Data.Python.and.Pandas.LiveLessons.Sneak.Peak.REPACK/17 - 3.1 Read data from text files, e.g. CSV.mp4 157M Addison.Wesley.Professional.Programming.with.Data.Python.and.Pandas.LiveLessons.Sneak.Peak.REPACK/18 - 3.2 Read data from binary files.mp4 124M Addison.Wesley.Professional.Programming.with.Data.Python.and.Pandas.LiveLessons.Sneak.Peak.REPACK/19 - 3.3 Read data from a database.mp4 94M Addison.Wesley.Professional.Programming.with.Data.Python.and.Pandas.LiveLessons.Sneak.Peak.REPACK/20 - 3.4 Write data to CSV and other text files.mp4 197M Addison.Wesley.Professional.Programming.with.Data.Python.and.Pandas.LiveLessons.Sneak.Peak.REPACK/21 - 3.5 Write data to parquet format.mp4 93M Addison.Wesley.Professional.Programming.with.Data.Python.and.Pandas.LiveLessons.Sneak.Peak.REPACK/22 - 3.6 Write data to a database.mp4 17M Addison.Wesley.Professional.Programming.with.Data.Python.and.Pandas.LiveLessons.Sneak.Peak.REPACK/23 - Learning objectives.mp4 78M Addison.Wesley.Professional.Programming.with.Data.Python.and.Pandas.LiveLessons.Sneak.Peak.REPACK/24 - 4.1 Understand the theory of split-apply-combine.mp4 137M Addison.Wesley.Professional.Programming.with.Data.Python.and.Pandas.LiveLessons.Sneak.Peak.REPACK/25 - 4.2 Split data by groups.mp4 246M Addison.Wesley.Professional.Programming.with.Data.Python.and.Pandas.LiveLessons.Sneak.Peak.REPACK/26 - 4.3 Apply and reduce by group.mp4 26M Addison.Wesley.Professional.Programming.with.Data.Python.and.Pandas.LiveLessons.Sneak.Peak.REPACK/27 - Learning objectives.mp4 202M Addison.Wesley.Professional.Programming.with.Data.Python.and.Pandas.LiveLessons.Sneak.Peak.REPACK/28 - 5.1 Create a time series.mp4 85M Addison.Wesley.Professional.Programming.with.Data.Python.and.Pandas.LiveLessons.Sneak.Peak.REPACK/29 - 5.2 Select from a time series.mp4 178M Addison.Wesley.Professional.Programming.with.Data.Python.and.Pandas.LiveLessons.Sneak.Peak.REPACK/30 - 5.3 Perform lead and lag operations.mp4 79M Addison.Wesley.Professional.Programming.with.Data.Python.and.Pandas.LiveLessons.Sneak.Peak.REPACK/31 - 5.4 Resample a time series.mp4 98M Addison.Wesley.Professional.Programming.with.Data.Python.and.Pandas.LiveLessons.Sneak.Peak.REPACK/32 - 5.5 Fill and interpolate missing data.mp4 119M Addison.Wesley.Professional.Programming.with.Data.Python.and.Pandas.LiveLessons.Sneak.Peak.REPACK/33 - 5.6 Align time series.mp4 109M Addison.Wesley.Professional.Programming.with.Data.Python.and.Pandas.LiveLessons.Sneak.Peak.REPACK/34 - 5.7 Apply rolling calculations.mp4 20M Addison.Wesley.Professional.Programming.with.Data.Python.and.Pandas.LiveLessons.Sneak.Peak.REPACK/35 - Learning objectives.mp4 75M Addison.Wesley.Professional.Programming.with.Data.Python.and.Pandas.LiveLessons.Sneak.Peak.REPACK/36 - 6.1 Learn different types of joins.mp4 236M Addison.Wesley.Professional.Programming.with.Data.Python.and.Pandas.LiveLessons.Sneak.Peak.REPACK/37 - 6.2 Use merge for general purpose joins.mp4 417M Addison.Wesley.Professional.Programming.with.Data.Python.and.Pandas.LiveLessons.Sneak.Peak.REPACK/38 - 6.3 Understand append and concat.mp4 195M Addison.Wesley.Professional.Programming.with.Data.Python.and.Pandas.LiveLessons.Sneak.Peak.REPACK/39 - 6.4 Perform advanced merges.mp4 23M Addison.Wesley.Professional.Programming.with.Data.Python.and.Pandas.LiveLessons.Sneak.Peak.REPACK/40 - Learning objectives.mp4 178M Addison.Wesley.Professional.Programming.with.Data.Python.and.Pandas.LiveLessons.Sneak.Peak.REPACK/41 - 7.1 Understand the concept of reshaping.mp4 232M Addison.Wesley.Professional.Programming.with.Data.Python.and.Pandas.LiveLessons.Sneak.Peak.REPACK/42 - 7.2 Perform wide to long and long to wide reshaping.mp4 211M Addison.Wesley.Professional.Programming.with.Data.Python.and.Pandas.LiveLessons.Sneak.Peak.REPACK/43 - 7.3 Learn convenience methods for reshaping.mp4 340M Addison.Wesley.Professional.Programming.with.Data.Python.and.Pandas.LiveLessons.Sneak.Peak.REPACK/44 - 7.4 Create pivot tables.mp4 15M Addison.Wesley.Professional.Programming.with.Data.Python.and.Pandas.LiveLessons.Sneak.Peak.REPACK/45 - Learning objectives.mp4 214M Addison.Wesley.Professional.Programming.with.Data.Python.and.Pandas.LiveLessons.Sneak.Peak.REPACK/46 - 8.1 Create a standalone index.mp4 421M Addison.Wesley.Professional.Programming.with.Data.Python.and.Pandas.LiveLessons.Sneak.Peak.REPACK/47 - 8.2 Create a MultiIndex.mp4 213M Addison.Wesley.Professional.Programming.with.Data.Python.and.Pandas.LiveLessons.Sneak.Peak.REPACK/48 - 8.3 Use align and reindex.mp4 13M Addison.Wesley.Professional.Programming.with.Data.Python.and.Pandas.LiveLessons.Sneak.Peak.REPACK/49 - Learning objectives.mp4 190M Addison.Wesley.Professional.Programming.with.Data.Python.and.Pandas.LiveLessons.Sneak.Peak.REPACK/50 - 9.1 Create a custom calendar.mp4 272M Addison.Wesley.Professional.Programming.with.Data.Python.and.Pandas.LiveLessons.Sneak.Peak.REPACK/51 - 9.2 Understand time zone considerations.mp4 40M Addison.Wesley.Professional.Programming.with.Data.Python.and.Pandas.LiveLessons.Sneak.Peak.REPACK/52 - Programming with Data - Python and Pandas LiveLessons (Video Training) - Summary.mp4 7.3G total
File: 01 - Introduction.mp4 Size: 172312220 bytes (164.33 MiB), duration: 00:05:20, avg.bitrate: 4308 kb/s Audio: aac, 48000 Hz, stereo (eng) Video: h264, yuv420p, 1280x720, 30.00 fps(r) (eng)
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Keywords: Addison, Wesley, Professional, Programming, with, Data, Python, and, Pandas, LiveLessons, Sneak, Peak, REPACK, RiDWARE
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