| 000 | 01887nam a22003377a 4500 | ||
|---|---|---|---|
| 003 | OSt | ||
| 005 | 20260324111459.0 | ||
| 008 | 260324s2022 caua frb 001 0 eng d | ||
| 020 | _a9781098104030 | ||
| 035 | _a(CKB)5590000000474271 | ||
| 035 | _a(CaSebORM)9781098104023 | ||
| 035 | _a(OCoLC)1341278534 | ||
| 035 | _a(OCoLC-P)1341278534 | ||
| 035 | _a(EXLCZ)995590000000474271 | ||
| 040 |
_aOCoLC-P _beng _erda _epn _cOCoLC-P _dclrauoh |
||
| 050 | 4 | _aQA76.73.P98 | |
| 082 | 0 | 4 | _a006.312 |
| 100 | 1 |
_aMcKinney, Wes, _eauthor. |
|
| 245 | 1 | 0 |
_aPython for data analysis : _bdata wrangling with Pandas, NumPy, and Jupyter / _cWes McKinney. |
| 250 | _aThird edition. | ||
| 260 |
_aSebastopol, CA : _bO'Reilly Media, _c2022 |
||
| 300 |
_axvi, 561 pages : _billustrations. |
||
| 336 |
_atext _btxt _2rdacontent |
||
| 337 |
_aunmediated _bn _2rdamedia |
||
| 338 |
_avolumen _bnc _2rdacarrier |
||
| 505 | _aPreliminaries -- Python Language Basics, IPython, and Jupyter Notebooks -- Built-In Data Structures, Functions, and Files -- NumPy Basics: Arrays and Vectorized Computation -- Getting Started with pandas -- Data Loading, Storage, and File Formats -- Data Cleaning and Preparation -- Data Wrangling: Join, Combine, and Reshape -- Plotting and Visualization -- Data Aggregation and Group Operations -- Time Series -- Introduction to Modeling Libraries in Python -- Data Analysis Examples. | ||
| 520 | _aGet the definitive handbook for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.10 and pandas 1.4, the third edition of this hands-on guide is packed with practical case studies that show you how to solve a broad set of data analysis problems effectively. You'll learn the latest versions of pandas, NumPy, and Jupyter in the process. | ||
| 650 | 0 | _aData mining. | |
| 650 | 0 | _aPython (Computer program language) | |
| 942 |
_2ddc _cBOOK _n0 |
||
| 999 |
_c6983 _d6983 |
||