The latest articles on DEV Community by Reshama Shaikh (@reshamas). https://dev.to/reshamas https://media2.dev.to/dynamic/image/width=90,height=90,fit=cover,gravity=auto,format=auto/https:%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Fuser%2Fprofile_image%2F426332%2F499c68e1-cbaf-4b63-977e-e76433fc0619.jpeg https://dev.to/reshamas en Reshama Shaikh Wed, 09 Jun 2021 17:46:12 +0000 https://dev.to/reshamas/3-components-of-reviewing-a-pull-request-2f86 https://dev.to/reshamas/3-components-of-reviewing-a-pull-request-2f86 <p>Scikit-learn is the machine learning library for Python. <a href="https://www.linkedin.com/in/thomasjpfan/">Thomas Fan</a>, a core developer for scikit-learn, gives a presentation on how to review pull requests. Specifically, the 3 components are:</p> <ol> <li>The mechanics of code review on GitHub.</li> <li>The social aspects of code review and how to effectively give feedback.</li> <li>The technical aspects of reviewing a pull request.</li> </ol> <p>It's an informative video, with a great Q&amp;A session at the end.<br> <a href="https://youtu.be/dyxS9KKCNzA">Thomas Fan: Reviewing Pull Requests</a></p> python machinelearning datascience github Reshama Shaikh Sat, 08 May 2021 15:58:55 +0000 https://dev.to/reshamas/intro-to-machine-learning-5c1n https://dev.to/reshamas/intro-to-machine-learning-5c1n <p>The creators and maintainers of scikit-learn have created a MOOC: Machine Learning in Python with scikit-learn.</p> <p>This MOOC is available for free; it was funded by Inria, the French national research institute for digital science and technology.</p> <p>This online course is beginner-friendly. A strong technical background is not required. Learners should have some familiarity with numpy, pandas, matplotlib.</p> <p>Information:</p> <ul> <li>This online course is available for free: <a href="https://www.fun-mooc.fr/en/courses/machine-learning-python-scikit-learn/">Information &amp; registration</a> </li> <li>All the materials will be made public and reusable</li> <li>8 weeks / 35 hours total</li> <li>Course dates : From May 18 to July 14, 2021</li> <li>Certificate: will be issued upon completion of course; share it on LinkedIn, etc.</li> </ul> Reshama Shaikh Mon, 12 Apr 2021 12:25:40 +0000 https://dev.to/reshamas/pyladies-is-10-years-b91 https://dev.to/reshamas/pyladies-is-10-years-b91 <h2> Background </h2> <p><a href="https://www.pyladies.com/">PyLadies</a> is a global group that was created to involve more women in the Python open-source community. PyLadies was founded in 2011, with the first chapter being established in Los Angeles in April of that year. There is more background available in the <a href="https://en.wikipedia.org/wiki/PyLadies">PyLadies Wikipedia page</a>.</p> <p>2021 is the <strong>10-YEAR Anniversary</strong> of PyLadies!</p> <p>This article explores the current state of PyLadies, specifically data around chapters, locations and members: <a href="https://reshamas.github.io/2021-state-of-pyladies/">2021 State of PyLadies</a></p> <h2> Video Talk </h2> <p>Below is my video presentation for <a href="https://iwd.pyladies.com">PyLadies International Women's Day</a> (15 minutes). </p> python datascience womenintech opensource Reshama Shaikh Tue, 07 Jul 2020 16:42:05 +0000 https://dev.to/reshamas/contributin-to-scikit-learn-44f3 https://dev.to/reshamas/contributin-to-scikit-learn-44f3 <p>These two videos provide detailed guidance on how to make your first contribution to scikit-learn, the machine learning library of Python.</p> <p><a href="https://www.dataumbrella.org/open-source/contributing-to-scikit-learn">Learn to Contribute to Scikit-learn</a>, in less than an hour. </p> python machinelearning opensource datascience