<?xml version="1.0" encoding="utf-8"?><feed xmlns="http://www.w3.org/2005/Atom" ><generator uri="https://jekyllrb.com/" version="4.1.1">Jekyll</generator><link href="https://byteshiva.github.io/blog/feed.xml" rel="self" type="application/atom+xml" /><link href="https://byteshiva.github.io/blog/" rel="alternate" type="text/html" /><updated>2022-03-26T02:20:25-05:00</updated><id>https://byteshiva.github.io/blog/feed.xml</id><title type="html">fastpages</title><subtitle>An easy to use blogging platform with support for Jupyter Notebooks.</subtitle><entry><title type="html">Pandas basics tutorials</title><link href="https://byteshiva.github.io/blog/diagram/jupyter/code/pandas/2022/03/25/pandas-tutorials.html" rel="alternate" type="text/html" title="Pandas basics tutorials" /><published>2022-03-25T00:00:00-05:00</published><updated>2022-03-25T00:00:00-05:00</updated><id>https://byteshiva.github.io/blog/diagram/jupyter/code/pandas/2022/03/25/pandas-tutorials</id><author><name></name></author><category term="diagram" /><category term="jupyter" /><category term="code" /><category term="Pandas" /><summary type="html"><![CDATA[Pandas basics - tutorials helps understand basic functionality of Pandas]]></summary></entry><entry><title type="html">Pandas Kickstart</title><link href="https://byteshiva.github.io/blog/diagram/jupyter/code/pandas/kickstart/2022/03/25/pandas-kickstart.html" rel="alternate" type="text/html" title="Pandas Kickstart" /><published>2022-03-25T00:00:00-05:00</published><updated>2022-03-25T00:00:00-05:00</updated><id>https://byteshiva.github.io/blog/diagram/jupyter/code/pandas/kickstart/2022/03/25/pandas-kickstart</id><author><name></name></author><category term="diagram" /><category term="jupyter" /><category term="code" /><category term="Pandas" /><category term="kickstart" /><summary type="html"><![CDATA[Pandas kickstart - kickstart Pandas]]></summary></entry><entry><title type="html">Introducing Tensorflow with NumPy</title><link href="https://byteshiva.github.io/blog/introducingtensorflow/" rel="alternate" type="text/html" title="Introducing Tensorflow with NumPy" /><published>2022-03-06T00:00:00-06:00</published><updated>2022-03-06T00:00:00-06:00</updated><id>https://byteshiva.github.io/blog/Introducing-TensorFlow</id><author><name>Siva &lt;byteshiva@gmail.com&gt;</name></author><category term="tensorflow" /><category term="NumPy" /><category term="Jupyter" /><category term="Python" /><category term="Jupyter Notebook" /><summary type="html"><![CDATA[A Single Neuron Network with Tensorflow and Numpy, and built in python.]]></summary><media:thumbnail xmlns:media="http://search.yahoo.com/mrss/" url="https://byteshiva.github.io/blog/images/copied_from_nb/fastlinkcheck_images/fastlinkcheck.png" /><media:content medium="image" url="https://byteshiva.github.io/blog/images/copied_from_nb/fastlinkcheck_images/fastlinkcheck.png" xmlns:media="http://search.yahoo.com/mrss/" /></entry><entry><title type="html">Introducing NetworkX and Pandas with NumPy</title><link href="https://byteshiva.github.io/blog/networkxpandasnumpy/" rel="alternate" type="text/html" title="Introducing NetworkX and Pandas with NumPy" /><published>2022-01-19T00:00:00-06:00</published><updated>2022-01-19T00:00:00-06:00</updated><id>https://byteshiva.github.io/blog/Introducing-Networkx-Panda-Numy</id><author><name>Siva &lt;byteshiva@gmail.com&gt;</name></author><category term="Networkx" /><category term="Pandas" /><category term="NumPy" /><category term="Matplotlib" /><category term="Jupyter" /><category term="Python" /><category term="Jupyter Notebook" /><summary type="html"><![CDATA[Say goodbye broken links on your static sites. Platform independent, fast, and built in python.]]></summary><media:thumbnail xmlns:media="http://search.yahoo.com/mrss/" url="https://byteshiva.github.io/blog/images/copied_from_nb/fastlinkcheck_images/fastlinkcheck.png" /><media:content medium="image" url="https://byteshiva.github.io/blog/images/copied_from_nb/fastlinkcheck_images/fastlinkcheck.png" xmlns:media="http://search.yahoo.com/mrss/" /></entry><entry><title type="html">nbdev + GitHub Codespaces: A New Literate Programming Environment</title><link href="https://byteshiva.github.io/blog/codespaces" rel="alternate" type="text/html" title="nbdev + GitHub Codespaces: A New Literate Programming Environment" /><published>2020-12-10T00:00:00-06:00</published><updated>2020-12-10T00:00:00-06:00</updated><id>https://byteshiva.github.io/blog/codespaces</id><author><name>&lt;a href='https://twitter.com/HamelHusain'&gt;Hamel Husain&lt;/a&gt; &amp; &lt;a href='https://twitter.com/jeremyphoward'&gt;Jeremy Howard&lt;/a&gt;</name></author><category term="codespaces" /><category term="nbdev" /><summary type="html"><![CDATA[How a new GitHub feature makes literate programming easier than ever before.]]></summary><media:thumbnail xmlns:media="http://search.yahoo.com/mrss/" url="https://byteshiva.github.io/blog/images/fastpages_posts/codespaces/codespaces.png" /><media:content medium="image" url="https://byteshiva.github.io/blog/images/fastpages_posts/codespaces/codespaces.png" xmlns:media="http://search.yahoo.com/mrss/" /></entry></feed>