All 100+ recipes have been updated to the latest versions of Python, IPython, Jupyter, and all of the scientific packages. The.I'm pleased to announce the release of the IPython Cookbook, Second Edition, more than three years after the first edition. Modern Python Cookbook Название: Modern Python Cookbook Автор: Steven F. TensorFlow 2.x in the Colaboratory Cloud: An Introduction to Deep Learning. Год: Язык: английский Формат: epub Размер: 10.1 MB Get the definitive.Įasy Python Programming: A Step by Step Crash Course Guide to Learn Python. Название: Python for Data Analysis: Data Wrangling with Pandas, NumPy, and Jupyter, 3rd Edition (Early Release) Автор: Wes McKinney Издательство: O’Reilly Media, Inc. Python for Data Analysis: Data Wrangling with Pandas, NumPy, and Jupyter, 3. Python - Learn a New Skill Today: Lab 2: Business Expenses (Visual Programm.
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Visual Studio Code for Python Programmers Название: Visual Studio Code for Python Programmers Автор: April Speight Издательство: Wiley Год: 2021 Страниц: 256 Язык: английский Формат: epub Размер: 23.6 MB Become proficient and efficient with Visual Studio Code and learn how to integrate all your. Ĭreate GUI Applications with Python & Qt5 (PyQt5 Edition): The hands-on gui.
It’s easy enough to translate the Python code shown in this book into the corresponding C++ code.ġ000 Python Examples (Updated 09/2020) Название: 1000 Python Examples Автор: Gabor Czabo Издательство: Leanpub Год: Страниц: 1069 Язык: английский Формат: pdf (true), mobi, epub Размер: 10.1 MB Goal: You will come out from the workshop knowing: 1) What are Fixtures? 2) What is.Īdvanced Forecasting with Python: With State-of-the-Art-Models Including LS. The recipes in this cookbook are written as Jupyter notebooks, and follow their structure: blocks of explanatory text, like the one you’re reading now, are mixed with cells containing Python code (inputs) and the results of executing it (outputs). If you're interested in the architecture of QuantLib and want to know how to extend it, you might want to look at Implementing QuantLib, too. Together, they provide a sort of cookbook that showcases features of the library by means of working examples and provides guidance to its use.Īmong other content, the book also includes notebooks that reproduce the results from the often-cited Ametrano and Bianchetti paper, Everything You Always Wanted to Know About Multiple Interest Rate Curve Bootstrapping but Were Afraid to Ask. Quantitative finance in Python: a hands-on, interactive look at the QuantLib library through the use of Jupyter notebooks as working examples The posts and screencasts use Jupyter notebooks to demonstrate the QuantLib library.
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