Python library_Hub
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Библиотека и обучение по Python. Задачи и их решения. Примеры написания кода и готовые варианты под конкретные задачи. Только полезная инфа!
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Data Structures and Algorithms in Python (en).pdf
6.6 MB
Data Structures and Algorithms in Python

Авторы:
M. T. Goodrich, R. Tamassia, M. H. Goldwasser
Год издания: 2013

#python #eng #data
[Robert_Johansson]_Numerical_Python__Scientific_C.pdf
23.5 MB
Numerical Python: Scientific Computing and Data Science Applications with Numpy, SciPy and Matplotlib
Robert Johansson

Leverage the numerical and mathematical modules in Python and its standard library as well as popular open source numerical Python packages like NumPy, SciPy, FiPy, matplotlib and more. This fully revised edition, updated with the latest details of each package and changes to Jupyter projects, demonstrates how to numerically compute solutions and mathematically model applications in big data, cloud computing, financial engineering, business management and more.

#python #eng #science #data
[Paul_Deitel,_Dr._Harvey_Deitel]_Python_for_Progra.pdf
26.9 MB
Python for Programmers: with Big Data and Artificial Intelligence Case Studies
Paul Deitel, Dr. Harvey Deitel

In the context of 500+, real-world examples ranging from individual snippets to 40 large scripts and full implementation case studies, you’ll use the interactive IPython interpreter with code in Jupyter Notebooks to quickly master the latest Python coding idioms. After covering Python Chapters 1—5 and a few key parts of Chapters 6—7, you’ll be able to handle significant portions of the hands-on introductory AI case studies in Chapters 11—16, which are loaded with cool, powerful, contemporary examples. These include natural language processing, data mining Twitter for sentiment analysis, cognitive computing with IBM Watson, supervised machine learning with classification and regression, unsupervised machine learning with clustering, computer vision through deep learning and

#python #eng #MachineLearning #data
[Matt_Harrison;_Michael_Prentiss]_Learning_the_Pan.pdf
7 MB
Learning the Pandas Library: Python Tools for Data Munging, Analysis, and Visual
Matt Harrison, Michael Prentiss

Python is one of the top 3 tools that Data Scientists use.One of the tools in their arsenal is the Pandas library.This tool is popular because it gives you so much functionality out of the box.In addition, you can use all the power of Python to make the hard stuff easy!
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[Benjamin_Bengfort,_Tony_Ojeda,_Rebecca_Bilbro]_Ap.pdf
14 MB
Applied Text Analysis with Python: Enabling Language-Aware Data Products with Machine Learning
Benjamin Bengfort, Tony Ojeda, Rebecca Bilbro

From news and speeches to informal chatter on social media, natural language is one of the richest and most underutilized sources of data. Not only does it come in a constant stream, always changing and adapting in context; it also contains information that is not conveyed by traditional data sources. The key to unlocking natural language is through the creative application of text analytics. This practical book presents a data scientist’s approach to building language-aware products with applied machine learning.
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[Yves_Hilpisch]_Python_for_Finance__Mastering_Data.epub
10.9 MB
Python for Finance: Mastering Data-Driven Finance
Yves Hilpisch

The financial industry has recently adopted Python at a tremendous rate, with some of the largest investment banks and hedge funds using it to build core trading and risk management systems. Updated for Python 3, the second edition of this hands-on book helps you get started with the language, guiding developers and quantitative analysts through Python libraries and tools for building financial applications and interactive financial analytics.
#python #eng #data
✌️Коллеги! Для удобства поиска информации в ленте, под каждым постом есть тег. Все теги я оставляю в закрепе, список тегов постоянно пополняется. 👇
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