[EuroPython 2017] Alexander Hendorf - Neat Analytics With Pandas Indexes - Info and Reading Options
"[EuroPython 2017] Alexander Hendorf - Neat Analytics With Pandas Indexes" and the language of the book is English.
“[EuroPython 2017] Alexander Hendorf - Neat Analytics With Pandas Indexes” Metadata:
- Title: ➤ [EuroPython 2017] Alexander Hendorf - Neat Analytics With Pandas Indexes
- Language: English
“[EuroPython 2017] Alexander Hendorf - Neat Analytics With Pandas Indexes” Subjects and Themes:
- Subjects: ➤ Scientific Libraries (Numpy/Pandas/SciKit/...) - Data Science - Analytics - EuroPython2017 - Python
Edition Identifiers:
- Internet Archive ID: Europython_2017_tk2AcmEM
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"[EuroPython 2017] Alexander Hendorf - Neat Analytics With Pandas Indexes" Description:
The Internet Archive:
Pandas is the Swiss-Multipurpose Knife for Data Analysis in Python. In this talk we will look deeper into how to gain productivity utilising Pandas powerful indexing and make advanced analytics a piece of cake. We will cover: Pandas indexing recap Index Types Time-Series Index and resampling Pandas Multi-Indexing Please see our speaker release agreement for details: https://ep2017.europython.eu/en/speaker-release-agreement/
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"[EuroPython 2017] Alexander Hendorf - Neat Analytics With Pandas Indexes" is available for download from The Internet Archive in "movies" format, the size of the file-s is: 739.73 Mbs, and the file-s went public at Sat Nov 07 2020.
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- Source: Internet Archive
- All Files are Available: Yes
- Number of Files: 35
- Number of Available Files: 35
- Added Date: 2020-11-07 18:27:32
- Scanner: Internet Archive Python library 1.9.5
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