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
Who Should Read This BookWhat’s in This Book?Scripts, Solutions, and Hints Basic Mathematical OperationsLabels: Attaching Names to NumbersDifferent Kinds of NumbersWorking with FractionsComplex NumbersGetting User InputHandling Exceptions and Invalid InputFractions and Complex Numbers as InputWriting Programs That Do the Math for YouCalculating the Factors of an IntegerGenerating Multiplication Ta
Å·hat | 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
Effective Computation in Physics
What Is This Book?Who This Book Is ForWho This Book Is Not ForCase Study on How to Use This Book: Radioactive Decay ConstantsAccessing Data and LibrariesCreating a Simple ProgramAutomating Data CollectionAnalyzing and Plotting the DataKeeping Track of ChangesTesting the CodeDocumenting the CodePublishingWhat to Do While Reading This BookConventions Used in This BookUsing Code ExamplesInstallation
Python in Excel alternative: Open. Self-hosted. No limits.
Introducing xlwings Lite Run Python code directly in Excel without a local Python installation! xlwings (Open Source) This it the core Python package. It requires a local installation of both Excel and Python and works on Windows and macOS. Write Python scripts to automate Excel Write macros in Python and run them at the click of a button Write user-defined functions (UDFs) in Python (Windows-only
Python文法詳解
Python Enhancement Proposals（PEP） 3138ã®åŸ·ç†è€…ã§ã‚‚ã‚る日本人著者ãŒã€ãƒ—ãƒã‚°ãƒ©ãƒŸãƒ³ã‚°è¨€èªžã¨ã—ã¦ã®Pythonã®æ–‡æ³•ã‚„ã€çµ„ã¿è¾¼ã¿ã®ã‚ªãƒ–ジェクトã«ç„¦ç‚¹ã‚’絞ã£ã¦è§£èª¬ã™ã‚‹æ›¸ç±ã€‚最新ã®Pythonã‚’æ·±ãç†è§£ã—ã€ä½¿ã„ã“ãªã™ãŸã‚ã«å¿…è¦ãªåŸºç¤Žã‚’知る1冊。シンプルã•ã‚’特長ã¨ã—ã€ã§ãã‚‹ã ã‘機能を絞りã€è¦šãˆã‚„ã™ãã€ä½¿ã„ã‚„ã™ã„言語をモットーã¨ã—ã¦ããŸPythonãŒã€20å¹´ã«ã‚ãŸã‚‹é€²æ©ã®çµæžœã¨ã—ã¦å¾—ãŸé«˜æ©Ÿèƒ½ã•ã¨è¤‡é›‘ã•ã®ä¸ã‹ã‚‰ã€å…¥é–€æ›¸ã‚„ãƒãƒ¥ãƒ¼ãƒˆãƒªã‚¢ãƒ«ã§ã¯ã‚ã¾ã‚Šè§¦ã‚Œã‚‰ã‚Œãªã„ãã®å†…部や仕組ã¿ã«é–¢ã™ã‚‹ãƒˆãƒ”ックを盛り込んã§ã„ã¾ã™ã€‚本書ã«ã‚ˆã£ã¦ã€æœ€æ–°ã®Pythonã‚’æ·±ãç†è§£ã—ã€ä½¿ã„ã“ãªã™ãŸã‚ã«å¿…è¦ãªåŸºç¤Žã‚’知るã“ã¨ãŒã§ãã‚‹ã§ã—ょã†ã€‚ 著者ã«ã‚ˆã‚‹æ£èª¤è¡¨ ã¯ã˜ã‚㫠第1ç« ã€€ã‚¤ãƒ³ãƒˆãƒãƒ€ã‚¯ã‚·ãƒ§ãƒ³ 1.1　Python ã®ç‰¹å¾´ 1.1.1　èªã¿ã‚„ã™ã• 1.1.2　シンプル 1.1.3　高レベル言語 1.
Cython
Who Should Read This Book?PrerequisitesWho Should Not Read This Book?OutlineConventions Used in This BookUsing Code ExamplesSafari® Books OnlineHow to Contact UsAcknowledgments Comparing Python, C, and CythonFunction Call OverheadLoopingMath OperationsStack Versus Heap AllocationTempering Our EnthusiasmWrapping C Code with CythonSummary The Cython Compilation PipelineInstalling and Testing Our Set
Python for Finance
Conventions Used in This BookUsing Code ExamplesSafari® Books OnlineHow to Contact UsAcknowledgments What Is Python?Brief History of PythonThe Python EcosystemPython User SpectrumThe Scientific StackTechnology in FinanceTechnology SpendingTechnology as EnablerTechnology and Talent as Barriers to EntryEver-Increasing Speeds, Frequencies, Data VolumesThe Rise of Real-Time AnalyticsPython for Finance
CAS - CalNet Authentication Service Login
How to Sign In as a SPA To sign in to a Special Purpose Account (SPA) via a list, add a "+" to your CalNet ID (e.g., "+mycalnetid"), then enter your passphrase. The next screen will show a drop-down list of all the SPAs you have permission to access. Select the SPA you wish to sign in as. To sign in directly as a SPA, enter the SPA name, "+", and your CalNet ID into the CalNet ID field (e.g., “spa
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 “pizzaâ€, while an incorrect parse links “with†to “eatâ€: 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 1.14.0 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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Amazon.co.jp: Python言語ã«ã‚ˆã‚‹ãƒ—ãƒã‚°ãƒ©ãƒŸãƒ³ã‚°ã‚¤ãƒ³ãƒˆãƒãƒ€ã‚¯ã‚·ãƒ§ãƒ³: 世界標準MIT教科書: グッターグ,ジョン・V. (è‘—), Guttag,John V. (原å), ä¹…ä¿å¹¹é›„ (翻訳): 本
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Think Stats, 2nd Edition
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
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