01887nam a22003377a 4500 OSt 20260324111459.0 260324s2022 caua frb 001 0 eng d 9781098104030 (CKB)5590000000474271 (CaSebORM)9781098104023 (OCoLC)1341278534 (OCoLC-P)1341278534 (EXLCZ)995590000000474271 OCoLC-P eng rda pn OCoLC-P clrauoh QA76.73.P98 006.312 McKinney, Wes, author. Python for data analysis : data wrangling with Pandas, NumPy, and Jupyter / Wes McKinney. Third edition. Sebastopol, CA : O'Reilly Media, 2022 xvi, 561 pages : illustrations. text txt rdacontent unmediated n rdamedia volumen nc rdacarrier Preliminaries -- 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. Get 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. Data mining. Python (Computer program language) ddc BOOK 0 6983 6983 2026-03-24 11:08:45 35672011143 0 006.312 M158p 2022 35672011143 1 2026-03-24 BOOK 0 ddc 0 0 COL_GRAL 0 BCENTRAL BCENTRAL 2025-11-19 90080.00 2026-03-24 11:08:00 35672011144 0 006.312 M158p 2022 35672011144 2 2026-03-24 BOOK 0 ddc 0 0 COL_GRAL 0 BCENTRAL BCENTRAL 2025-11-19 90080.00 2026-03-24 11:08:00 35672011145 0 006.312 M158p 2022 35672011145 3 2026-03-24 BOOK 0 ddc 0 0 COL_GRAL 0 BCENTRAL BCENTRAL 2025-11-19 90080.00 2026-03-24 11:08:00 35672011146 0 006.312 M158p 2022 35672011146 4 2026-03-24 BOOK 0 ddc 0 0 COL_GRAL 0 BCENTRAL BCENTRAL 2025-11-19 90080.00 2026-05-30 11:23:05 35672011147 1 006.312 M158p 2022 35672011147 2026-05-07 5 2026-03-24 BOOK 0 ddc 0 0 COL_GRAL 0 BCENTRAL BCENTRAL 2025-11-19 90080.00