| 000 | 01284nam a22002057a 4500 | ||
|---|---|---|---|
| 003 | OSt | ||
| 005 | 20260812105410.0 | ||
| 008 | 260812b |||||||| |||| 00| 0 eng d | ||
| 020 |
_a9781394340767 _qpaperback |
||
| 040 | _cHSLRC | ||
| 050 |
_aQA 76.73.P98 _b.L36 2026 |
||
| 100 | 1 |
_aLanger, David, _eauthor. _962514 |
|
| 245 | 1 | 0 |
_aPython in Excel step-by-step / _cDavid Langer. |
| 260 |
_aHoboken, New Jersey : _bJohn Wiley & Sons Inc., _cc2025. |
||
| 300 |
_axvi, 256 pages : _billustrations ; _c23 cm. |
||
| 520 | _a"At the time of this writing, I've been in the technology field for 28 years and have been doing analytics for the last 14. Over my career, I've seen many hype cycles come and go (e.g., "Big Data"). I mention this only to emphasize how profoundly I was impacted by what I saw in May of 2023 - an early version of Python in Excel. As an analytics consultant and educator, I was blown away by Microsoft's vision for Excel. There was only one reason why Microsoft would spend so much time and effort into building Python in Excel: Microsoft sees Excel becoming the world's most used do-it-yourself (DIY) data science platform"-- Provided by publisher. | ||
| 650 | 0 | _aPython (Computer program language). | |
| 650 | 0 |
_aElectronic spreadsheets. _961028 |
|
| 942 |
_2lcc _cBK |
||
| 999 |
_c99682 _d99682 |
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