- Main
- Computers - Algorithms and Data Structures
- Python Data Science Handbook: Essential...
Python Data Science Handbook: Essential Tools for Working with Data, 2nd Edition
Jake VanderPlasدا کتاب تاسو ته څنګه خواښه شوه؟
د بار شوي فایل کیفیت څه دئ؟
تر څو چې د کتاب کیفیت آزمایښو وکړئ، بار ئې کړئ
د بار شوو فایلونو کیفیتی څه دئ؟
Python is a first-class tool for many researchers, primarily because of its libraries for storing, manipulating, and gaining insight from data. Several resources exist for individual pieces of this data science stack, but only with the new edition of Python Data Science Handbook do you get them all—IPython, NumPy, pandas, Matplotlib, scikit-learn, and other related tools.
Working scientists and data crunchers familiar with reading and writing Python code will find the second edition of this comprehensive desk reference ideal for tackling day-to-day issues: manipulating, transforming, and cleaning data; visualizing different types of data; and using data to build statistical or machine learning models. Quite simply, this is the must-have reference for scientific computing in Python.
With this handbook, you'll learn how:
• IPython and Jupyter provide computational environments for scientists using Python
• NumPy includes the ndarray for efficient storage and manipulation of dense data arrays
• Pandas contains the DataFrame for efficient storage and manipulation of labeled/columnar data
• Matplotlib includes capabilities for a flexible range of data visualizations
• Scikit-learn helps you build efficient and clean Python implementations of the most important and established machine learning algorithms
Working scientists and data crunchers familiar with reading and writing Python code will find the second edition of this comprehensive desk reference ideal for tackling day-to-day issues: manipulating, transforming, and cleaning data; visualizing different types of data; and using data to build statistical or machine learning models. Quite simply, this is the must-have reference for scientific computing in Python.
With this handbook, you'll learn how:
• IPython and Jupyter provide computational environments for scientists using Python
• NumPy includes the ndarray for efficient storage and manipulation of dense data arrays
• Pandas contains the DataFrame for efficient storage and manipulation of labeled/columnar data
• Matplotlib includes capabilities for a flexible range of data visualizations
• Scikit-learn helps you build efficient and clean Python implementations of the most important and established machine learning algorithms
درجه (قاطیغوری(:
کال:
2022
خپرونه:
2
خپرندویه اداره:
O'Reilly Media
ژبه:
english
صفحه:
591
ISBN 10:
1098121228
ISBN 13:
9781098121228
فایل:
PDF, 19.70 MB
ستاسی تیګی:
IPFS:
CID , CID Blake2b
english, 2022
په آن لاین ډول لوستل
- کاپی کول
- pdf 19.70 MB Current page
- Checking other formats...
- ته بدلول
- Unlock conversion of files larger than 8 MBPremium
غواړئ کتاب پلورنځي ته اضافه وکړئ؟ مونږ سره د support@z-lib.do له لارې اړیکه ونیسئ
د ۱- ۵ دقیقو په جریان کې فایل ستاسی ایمل ته دررسیږی.
د ۱-۵ دقیقو په ترڅ کښې به فایل ستاسو د ټیلیګرام آکاونټ ته وسپارل شي.
یادونه: مطمئن شئ چې تاسو خپل آګاونټ د Z-Library Telegram بوټ سره تړلی دی.
د ۱-۵ دقیقو په ترڅ کښې به فایل ستاسو د Kindle وسیلې ته وسپارل شي.
ملاحظه هر کتاب چي تاسي Kindle ته ليږئ باید تصدیق شی. خپله الکترونیکی پوسته تفتیش کړئ چې پکښې باید د Amazon Kindle Support له خوا مکتوب وی.
ته بدلون په کار دي
ته بدلون ناکام شو
Premium benefits
- Send to eReaders
- Increased download limit
- File converter
- د لټون نورې نبیجې
- More benefits