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danilofreire committed Sep 4, 2024
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Expand Up @@ -164,6 +164,7 @@ <h1 class="title">QTM 350 - Data Science Computing</h1>


<p>Welcome to <a href="https://github.com/danilofreire/qtm350">QTM 350</a>! This course introduces key tools in modern data science, focusing on three essential aspects: reliability, reproducibility, and robustness. We will cover command line interfaces and <a href="https://www.vim.org/">vim</a>, version control with <a href="https://git-scm.com/">Git</a> and <a href="https://github.com/">GitHub</a>, and literate programming using <a href="https://quarto.org/">Quarto</a> and <a href="https://jupyter.org/">Jupyter Notebooks</a>. You will also learn about data storage and manipulation with <a href="https://www.w3schools.com/sql/">SQL</a> and <a href="https://pandas.pydata.org/">Pandas</a>, and parallel computing with <a href="https://www.dask.org/">Dask</a>. We will explore artificial intelligence-assisted programming with <a href="https://github.com/features/copilot">GitHub Copilot</a> and finish with <a href="https://www.docker.com/">Docker</a> and containerisation.</p>
<p>We will meet every Monday and Wednesday from 14:30 to 15:45 in the <a href="https://maps.app.goo.gl/wLPSNiTSSXbizqsF8">Maths and Science Centre - E208</a>.</p>
<section id="contact-information" class="level2">
<h2 class="anchored" data-anchor-id="contact-information">Contact Information</h2>
<ul>
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"href": "index.html",
"title": "QTM 350 - Data Science Computing",
"section": "",
"text": "Welcome to QTM 350! This course introduces key tools in modern data science, focusing on three essential aspects: reliability, reproducibility, and robustness. We will cover command line interfaces and vim, version control with Git and GitHub, and literate programming using Quarto and Jupyter Notebooks. You will also learn about data storage and manipulation with SQL and Pandas, and parallel computing with Dask. We will explore artificial intelligence-assisted programming with GitHub Copilot and finish with Docker and containerisation."
"text": "Welcome to QTM 350! This course introduces key tools in modern data science, focusing on three essential aspects: reliability, reproducibility, and robustness. We will cover command line interfaces and vim, version control with Git and GitHub, and literate programming using Quarto and Jupyter Notebooks. You will also learn about data storage and manipulation with SQL and Pandas, and parallel computing with Dask. We will explore artificial intelligence-assisted programming with GitHub Copilot and finish with Docker and containerisation.\nWe will meet every Monday and Wednesday from 14:30 to 15:45 in the Maths and Science Centre - E208."
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Expand Up @@ -299,7 +299,7 @@ <h3 class="anchored" data-anchor-id="documentation">Documentation</h3>
</section>
<section id="course-information" class="level1">
<h1>Course Information</h1>
<p>We will meet every Monday and Wednesday from 14:30 to 15:45 at <a href="https://quantitative.emory.edu">XXXXX</a>. It is important that you read the materials before class. All information about the course is available on the course’s GitHub repository at <a href="https://github.com/danilofreire/qtm350" class="uri">https://github.com/danilofreire/qtm350</a>. While I will try to adhere to the course schedule as much as possible, I also want to adapt to your learning pace and style. The syllabus and course plan may change in the semester. Again, please check <a href="https://github.com/danilofreire/qtm350">the course repository</a> regularly to check for updates. I will also announce any changes in class and via email.</p>
<p>We will meet every Monday and Wednesday from 14:30 to 15:45 in the <a href="https://maps.app.goo.gl/wLPSNiTSSXbizqsF8">Maths and Science Building - E208</a>. It is important that you read the materials before class. All information about the course is available on the course’s GitHub repository at <a href="https://github.com/danilofreire/qtm350" class="uri">https://github.com/danilofreire/qtm350</a>. While I will try to adhere to the course schedule as much as possible, I also want to adapt to your learning pace and style. The syllabus and course plan may change in the semester. Again, please check <a href="https://github.com/danilofreire/qtm350">the course repository</a> regularly to check for updates. I will also announce any changes in class and via email.</p>
</section>
<section id="software" class="level1">
<h1>Software</h1>
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Expand Up @@ -4,6 +4,8 @@ title: "QTM 350 - Data Science Computing"

Welcome to [QTM 350](https://github.com/danilofreire/qtm350)! This course introduces key tools in modern data science, focusing on three essential aspects: reliability, reproducibility, and robustness. We will cover command line interfaces and [vim](https://www.vim.org/), version control with [Git](https://git-scm.com/) and [GitHub](https://github.com/), and literate programming using [Quarto](https://quarto.org/) and [Jupyter Notebooks](https://jupyter.org/). You will also learn about data storage and manipulation with [SQL](https://www.w3schools.com/sql/) and [Pandas](https://pandas.pydata.org/), and parallel computing with [Dask](https://www.dask.org/). We will explore artificial intelligence-assisted programming with [GitHub Copilot](https://github.com/features/copilot) and finish with [Docker](https://www.docker.com/) and containerisation.

We will meet every Monday and Wednesday from 14:30 to 15:45 in the [Maths and Science Centre - E208](https://maps.app.goo.gl/wLPSNiTSSXbizqsF8).

## Contact Information

- **Name**: [Danilo Freire](https://danilofreire.github.io/)
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# Course Information

We will meet every Monday and Wednesday from 14:30 to 15:45 at [XXXXX](https://quantitative.emory.edu). It is important that you read the materials before class. All information about the course is available on the course's GitHub repository at <https://github.com/danilofreire/qtm350>. While I will try to adhere to the course schedule as much as possible, I also want to adapt to your learning pace and style. The syllabus and course plan may change in the semester. Again, please check [the course repository](https://github.com/danilofreire/qtm350) regularly to check for updates. I will also announce any changes in class and via email.
We will meet every Monday and Wednesday from 14:30 to 15:45 in the [Maths and Science Building - E208](https://maps.app.goo.gl/wLPSNiTSSXbizqsF8). It is important that you read the materials before class. All information about the course is available on the course's GitHub repository at <https://github.com/danilofreire/qtm350>. While I will try to adhere to the course schedule as much as possible, I also want to adapt to your learning pace and style. The syllabus and course plan may change in the semester. Again, please check [the course repository](https://github.com/danilofreire/qtm350) regularly to check for updates. I will also announce any changes in class and via email.

# Software

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