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02-development-environments Expand file tree Collapse file tree Original file line number Diff line number Diff line change @@ -163,6 +163,12 @@ like advanced interactive visualizations.
163163 uses a freely-available Bitcoin API as a source data set
164164 for a data analysis and visualization project in Jupyter.
165165
166+ * [ nbdev: use Jupyter Notebooks for everything] ( https://www.fast.ai/2019/12/02/nbdev/ )
167+ shows how to use the [ nbdev] ( https://nbdev.fast.ai/ ) tool to create a literate
168+ programming environment within a Jupyter Notebook so that you can do
169+ all of your debugging and refactoring there rather than switching between
170+ a more traditional IDE and Jupyter.
171+
166172* [ Running Jupyter Notebooks on GPU on AWS: a starter guide] ( https://blog.keras.io/running-jupyter-notebooks-on-gpu-on-aws-a-starter-guide.html )
167173 explains how to run notebooks on Amazon Web Services using a
168174 graphics-processing unit (video card), which for some machine learning
Original file line number Diff line number Diff line change @@ -43,3 +43,9 @@ and report on Python [web applications](/web-development.html).
4343* [ A gentle introduction to the wonderful world of metrics] ( https://tech.showmax.com/2019/10/prometheus-introduction/ )
4444 has a quick summary that compares Prometheus with Nagios, then digs
4545 into the logging format and what you can visualize with this tool.
46+
47+ * [ From Graphite to Prometheus] ( https://engineering.nanit.com/from-graphite-to-prometheus-things-ive-learned-e1d1e4b97fc )
48+ explains some of the differences between using a StatsD / Graphite
49+ monitoring stack and Prometheus, such as how Prometheus scrapes data
50+ instead of the applications pushing data to a metrics aggregator,
51+ and the query languages for each tool.
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