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Python-codeに関するエントリは22件あります。 pythonPythonプログラミング などが関連タグです。 人気エントリには 『Pysa: An open source static analysis tool to detect and prevent security issues in Python code』などがあります。
  • Pysa: An open source static analysis tool to detect and prevent security issues in Python code

    Pysa: An open source static analysis tool to detect and prevent security issues in Python code Today, we are sharing details about Pysa, an open source static analysis tool we’ve built to detect and prevent security and privacy issues in Python code. Last year, we shared how we built Zoncolan, a static analysis tool that helps us analyze more than 100 million lines of Hack code and has helped engi

      Pysa: An open source static analysis tool to detect and prevent security issues in Python code
    • How to Write Robust Python Code

      BPStudy#189 https://bpstudy.connpass.com/event/283616/

        How to Write Robust Python Code
      • Building a full-text search engine in 150 lines of Python code · Bart de Goede

        Building a full-text search engine in 150 lines of Python code Mar 24, 2021 how-tosearchfull-text searchpython Full-text search is everywhere. From finding a book on Scribd, a movie on Netflix, toilet paper on Amazon, or anything else on the web through Google (like how to do your job as a software engineer), you’ve searched vast amounts of unstructured data multiple times today. What’s even more

        • GitHub - probml/pyprobml: Python code for "Probabilistic Machine learning" book by Kevin Murphy

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            GitHub - probml/pyprobml: Python code for "Probabilistic Machine learning" book by Kevin Murphy
          • GitHub - pyinfra-dev/pyinfra: pyinfra turns Python code into shell commands and runs them on your servers. Execute ad-hoc commands and write declarative operations. Target SSH servers, local machine and Docker containers. Fast and scales from one server t

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              GitHub - pyinfra-dev/pyinfra: pyinfra turns Python code into shell commands and runs them on your servers. Execute ad-hoc commands and write declarative operations. Target SSH servers, local machine and Docker containers. Fast and scales from one server t
            • GitHub - google/latexify_py: A library to generate LaTeX expression from Python code.

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                GitHub - google/latexify_py: A library to generate LaTeX expression from Python code.
              • Accelerate Python code 100x by import taichi as ti | Taichi Docs

                Python has become the most popular language in many rapidly evolving sectors, such as deep learning and data sciences. Yet its easy readability comes at the cost of performance. Of course, we all complain about program performance from time to time, and Python should certainly not take all the blame. Still, it's fair to say that Python's nature as an interpreted language does not help, especially

                • Boring Python: code quality

                  Boring Python: code quality December 19, 2022 Django, Python This is the second in a series of posts I intend to write about how to build, deploy, and manage Python applications in as boring a way as possible. In the first post in the series I gave a definition of what I mean by “boring”, and it’s worth revisiting: I don’t mean “reliable” or “bug-free” or “no incidents”. While there is some overla

                    Boring Python: code quality
                  • GitHub - cantaro86/Financial-Models-Numerical-Methods: Collection of notebooks about quantitative finance, with interactive python code.

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                      GitHub - cantaro86/Financial-Models-Numerical-Methods: Collection of notebooks about quantitative finance, with interactive python code.
                    • GitHub - say4n/hotreload: hot reload your python code!

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                        GitHub - say4n/hotreload: hot reload your python code!
                      • A toy programming language in 137 lines of Python code | Hacker News

                        This is a really fun exercise, I recommend every programmer try it once. You can replace most of the tokenization code with re.Scanner[1], which also allows you to have strings without worrying about `code.split()` messing them up.[1] https://news.ycombinator.com/item?id=36517749 This seems great. When I read these kinds of explanations, it always strikes me how the way you're supposed to write a

                        • PEP 8 – Style Guide for Python Code | peps.python.org

                          PEP 8 – Style Guide for Python Code Author: Guido van Rossum <guido at python.org>, Barry Warsaw <barry at python.org>, Alyssa Coghlan <ncoghlan at gmail.com> Status: Active Type: Process Created: 05-Jul-2001 Post-History: 05-Jul-2001, 01-Aug-2013 Table of Contents Introduction A Foolish Consistency is the Hobgoblin of Little Minds Code Lay-out Indentation Tabs or Spaces? Maximum Line Length Shoul

                            PEP 8 – Style Guide for Python Code | peps.python.org
                          • How to Extract Wikipedia Data in Python - The Python Code

                            Extracting data and searching in Wikipedia, getting article summaries, links, images and more using Wikipedia library in Python. Abdeladim Fadheli · 4 min read · Updated jul 2022 · Web Scraping · Application Programming Interfaces Before we get started, have you tried our new Python Code Assistant? It's like having an expert coder at your fingertips. Check it out! Wikipedia is no doubt the largest

                              How to Extract Wikipedia Data in Python - The Python Code
                            • Python support GA: improving Python code quality using Amazon CodeGuru Reviewer | Amazon Web Services

                              AWS DevOps Blog Python support GA: improving Python code quality using Amazon CodeGuru Reviewer We are pleased to announce the GA launch of Python support in Amazon CodeGuru Reviewer, a service that helps you improve source code quality by automatically detecting hard-to-find defects. CodeGuru Reviewer is powered by program analysis and machine learning, and trained on best practices and hard-lear

                                Python support GA: improving Python code quality using Amazon CodeGuru Reviewer | Amazon Web Services
                              • 4 Libraries that can perform EDA in one line of python code

                                Image by Mudassar Iqbal from Pixabay, Edited using PixlrExploratory data analysis (EDA) is an approach to analyze the data and find patterns, visual insights, etc. that the data set is having, before proceeding to model. One spends a lot of time doing EDA to get a better understanding of data, that can be minimized by using auto visualizations tools such as Pandas-profiling, Sweetviz, Autoviz, or

                                  4 Libraries that can perform EDA in one line of python code
                                • GitHub - scholtzan/python-udf-bigquery: Running Python Code in BigQuery UDFs

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                                    GitHub - scholtzan/python-udf-bigquery: Running Python Code in BigQuery UDFs
                                  • GitHub - deepklarity/jupyter-text2code: A proof-of-concept jupyter extension which converts english queries into relevant python code

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                                      GitHub - deepklarity/jupyter-text2code: A proof-of-concept jupyter extension which converts english queries into relevant python code
                                    • GitHub - py2exe/py2exe: Create standalone Windows programs from Python code

                                      The detailed changelog is published on GitHub. Version 0.13.0.2: reintroduce ability to specify different version info for each of the frozen binaries fix a bug in MemoryModule.c:PerformBaseRelocation fix missing initialization settings for the runtime Python interpreter add support for setuptools v72 fix the matplotlib, numpy, and scipy hooks fix py2exe wheels build with setuptools v70.0.0 Versio

                                        GitHub - py2exe/py2exe: Create standalone Windows programs from Python code
                                      • 【Python Code】Use the nonlinear support vector machine to classify the identified model parameters

                                        Actually, I am writing a dissertation, so I can not write specific data on my blog. But, python program code is managed in my blog. So, you can use it for free. I’m showing some unused data. Red marks are concentrated state and blue marks are relax state. Classification is possible for data that can be linearly separated. The left side shows the data used to draw classification lines while the rig

                                          【Python Code】Use the nonlinear support vector machine to classify the identified model parameters
                                        • Dis This: Disassemble Python code online

                                          When I was a lecturer at UC Berkeley teaching Python to thousands of students, I got asked all kinds of questions that got me digging deep into Python's innards. I soon discovered the dis module, which outputs the corresponding bytecode for a function or code segment. When students asked me the difference between various ways of writing the "same" code, I would often run the variations through the

                                            Dis This: Disassemble Python code online
                                          • My Python code is a neural network | Gábor Nyéki

                                            Many programs that we write can be embedded in recurrent neural networks (RNNs). For such programs, a trained RNN can perform better than if we write the algorithm by hand, refining it via trial and error. I walk through an example in detail. Introduction Humans are bad at managing spaghetti code. Of course, we should try and avoid writing spaghetti code if we can. But there are problems that are

                                            • Automatically Create NBA Highlights With a Few Lines of Python Code

                                              Photo by Tim Hart on UnsplashWe’re living in a world of fast consumption of content which is led by the likes of TikTok, Snapchat, Instagram, Twitter, Facebook, Youtube, and more. Younger fans are embracing new ways of engaging with leagues with decreasing importance placed on watching games live. Among U.S. sports fans ages 18–34, 58% of MLB fans, 54% of NBA fans, and 48% of NFL fans say they pre

                                                Automatically Create NBA Highlights With a Few Lines of Python Code
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