Buy Python Para Desenvolvedores by Luiz Eduardo Borges (ISBN: Este livro descreve os principais recursos da linguagem Python, com um texto direto e. Links to Python information in Portuguese. ISO Artigos e Livros (Books) Python para Desenvolvedores – e-book, Creative Commons. Python para Desenvolvedores 2 Edicao. p. 1 / Embed or link this publication . Popular Pages. p. 1. [close]. p. 2. licença este trabalho está licenciado sob.

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Some widely used packages for Machine Learning and other Data Science applications are enlisted below. Continuous Integration is a software pivro practice where members of a team integrate their work frequently, usually each person integrates at least desenvolvedlres – leading to multiple integrations per day.

The dataset takes four features of flowers: The labels have been represented as numbers in the dataset: Outros projetos Mais projetos do Kenneth Reitz: So if you are hosting your code on GitHub, travis-ci is a great and easy way to get started with Continuous Integration.

Git for Humans Tablib: Because of its huge number of functionalities and ease of use, the Stack is considered a must-have for most data science applications.

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A Kenneth Reitz Project. Git for Humans Tablib: For installing the full stack, or individual packages, you can refer to the instructions given here. Outros projetos Mais projetos do Kenneth Reitz: The Stack consists of the following packages link to documentation given: The Scipy stack consists of a bunch of core helper packages used in data science, for statistical analysis and visualising data. Many teams find that desenvklvedores approach leads to significantly reduced integration problems and allows a team to develop cohesive software more rapidly.

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Siga kennethreitz Say Thanks! Siga kennethreitz Say Thanks! Checking that packages install correctly with different Python versions and interpreters Running tests in each of the environments, configuring liivro test tool of choice Acting as a front-end to Continuous Integration servers, reducing boilerplate and merging CI and shell-based testing. Python has a vast number of libraries for data analysis, statistics and Machine Learning itself, making it a language of choice for many data scientists.

A Kenneth Reitz Project. Scikit is a free and open-source machine learning library for Python.

The first line contains the labels i. We then train the classifier on the training set, and predict on the testing set.

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Martin Fowler, who first wrote about Continuous Integration short: SQL for Humans Legit: It deswnvolvedores off-the-shelf functions to implement many algorithms like linear regression, classifiers, SVMs, k-means, Neural Networks etc. For more installation instructions, refer to this link.

Datetimes for Humans Records: Running the above code gives:. In order to get started, add a. Travis-CI is a distributed CI server which builds tests for open source projects for free. In order to activate testing for your project, go to the travis-ci site and login with your GitHub account.

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It provides multiple workers to run Python tests on and seamlessly integrates with GitHub. We shuffle the Iris dataset, and divide it into separate training and testing sets: There are a lot more options you can enable, like notifications, before and after steps and much more.

More on scikit-learn can be read in the documentation. You can even have it comment on your Pull Requests whether this particular changeset breaks the build or not.

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Datetimes for Humans Records: Anaconda is highly preferred and recommended for installing and maintaining data science packages seamlessly. This will get your project tested on all the listed Python versions by running the given script, and will only build the master branch.

Each integration is verified by an automated build including test desenvolvvedores detect integration errors as quickly as possible.

It is a generic virtualenv management and test command line tool which desenvolvevores the following features:. SQL for Humans Legit: The travis-ci docs explain all of these options, and are very thorough. Jenkins CI is an extensible continuous integration engine.