pandas is a fast, powerful, flexible and easy to use open source data analysis and manipulation tool, built on top of the Python programming language. Install pandas now!
pandas - Python Data Analysis Library
pandas is a fast, powerful, flexible and easy to use open source data analysis and manipulation tool, built on top of the Python programming language. Install pandas now!
Doing Math with Python
Read it now on the O’Reilly learning platform with a 10-day free trial. O’Reilly members get unlimited access to books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers. Doing Math with Python shows you how to use Python to delve into high school—level math topics like statistics, geometry, probability, and calculus. You'll start with simple projects,
ŷhat | Rodeo: A data science IDE for Python
Today we're excited to introduce a new project: Rodeo. Rodeo is an IDE that's built expressly for doing data science in Python. Think of it as a light weight alternative to the IPython Notebook. We've been using it for projects internally, but today we're releasing it to the public! We hope you like it as much as we do. Why we built it I like the IPython Notebook for presentations and tutorials, b
Python in Excel alternative: Open. Self-hosted. No limits.
Python in Excel Done Right Latest xlwings release: v0.30.13 xlwings is a modern and privacy-first spreadsheet programming package with a beautiful API. Privacy-first: Python can be installed locally or on on your self-hosted server for easy deployment. Cross-platform: Supports Excel on Windows, macOS, and on the Web. xlwings Reader and xlwings Server run everywhere where Python runs, including Lin
Python文法詳解
Python Enhancement Proposals（PEP） 3138の執筆者でもある日本人著者が、プログラミング言語としてのPythonの文法や、組み込みのオブジェクトに焦点を絞って解説する書籍。最新のPythonを深く理解し、使いこなすために必要な基礎を知る1冊。シンプルさを特長とし、できるだけ機能を絞り、覚えやすく、使いやすい言語をモットーとしてきたPythonが、20年にわたる進歩の結果として得た高機能さと複雑さの中から、入門書やチュートリアルではあまり触れられないその内部や仕組みに関するトピックを盛り込んでいます。本書によって、最新のPythonを深く理解し、使いこなすために必要な基礎を知ることができるでしょう。 著者による正誤表 はじめに 第1章 イントロダクション 1.1 Python の特徴 1.1.1 読みやすさ 1.1.2 シンプル 1.1.3 高レベル言語 1.
Think Stats, 2nd Edition
Read it now on the O’Reilly learning platform with a 10-day free trial. O’Reilly members get unlimited access to books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers. If you know how to program, you have the skills to turn data into knowledge, using tools of probability and statistics. This concise introduction shows you how to perform statistical a
Cython
Read it now on the O’Reilly learning platform with a 10-day free trial. O’Reilly members get unlimited access to books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers. Build software that combines Python’s expressivity with the performance and control of C (and C++). It’s possible with Cython, the compiler and hybrid programming language used by foun
Python for Finance
Read it now on the O’Reilly learning platform with a 10-day free trial. O’Reilly members get unlimited access to books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers. Book description The financial industry has adopted Python at a tremendous rate recently, with some of the largest investment banks and hedge funds using it to build core trading and r
CS61A, Spring 2012 Online Textbook
CS61A: Online Textbook This book is derived from the classic textbook Structure and Interpretation of Computer Programs by Abelson, Sussman, and Sussman. John Denero originally modified if for Python for the Fall 2011 semester. It is licensed under the Creative Commons Attribution-ShareAlike 3.0 license. Contents HTML Versions Chapter 1: Building Abstractions with Functions Chapter 2: Building Abs
Parsing English with 500 lines of Python
A syntactic parser describes a sentence’s grammatical structure, to help another application reason about it. Natural languages introduce many unexpected ambiguities, which our world-knowledge immediately filters out. A favourite example: They ate the pizza with anchovies A correct parse links “with” to “pizza”, while an incorrect parse links “with” to “eat”: The Natural Language Processing (NLP)
Julia vs. Python: Monte Carlo Simulations of Bitcoin Options | Justin
I was introduced to Julia recently after hearing of Stefan Karpinski while attending HackerSchool. Julia is marketed as a super fast high performance scientific computing language that can reach speeds close to native C code. After attending a conference for Python quants in NYC and heard Dr. Yves J. Hilpisch speak on the speed of Python for financial analytics I decided to put Julia up against th
AGCA - Algebraic Geometry and Commutative Algebra Module - SymPy 1.12 documentation
AGCA - Algebraic Geometry and Commutative Algebra Module# Introduction# Algebraic geometry is a mixture of the ideas of two Mediterranean cultures. It is the superposition of the Arab science of the lightening calculation of the solutions of equations over the Greek art of position and shape. This tapestry was originally woven on European soil and is still being refined under the influence of inte
Replacing Python: second round - Thomas Leonard's blog
In the first post, I took a brief look at the programming languages ATS, C#, Go, Haskell, OCaml, Python and Rust to try to decide which would be the best language in which to write 0install (which is currently implemented in Python). Now it's time to eliminate a few candidates and look in more detail at the others. Last time, I converted 4 lines of Python code from 0install into each language. Thi
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Mastering Probabilistic Graphical Models with Python | Packt
Effective Computation in Physics
Amazon.co.jp: Python言語によるプログラミングイントロダクション: 世界標準MIT教科書: グッターグ,ジョン・V. (著), 久保幹雄 (翻訳), Guttag,John V. (原名): 本
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GitHub - bwo/unlambda: interpreters for unlambda: python, rpython (compilable by the pypy toolchain); haskell; rust
GitHub - kachayev/fn.py: Functional programming in Python: implementation of missing features to enjoy FP
