@@ -81,6 +81,10 @@ your own productive workflow. | |||
| 81 | 81 | examines the growth of the Jupyter ecosystem and the jump from exploratory | |
| 82 | 82 | analysis notebooks to production notebooks. | |
| 83 | 83 | ||
| 84 | + * [Jupyter Notebook Best Practices](https://levelup.gitconnected.com/jupyter-notebook-best-practices-fc326eb5cd22) | ||
| 85 | + contains tips for beginners such as learning shortcuts and properly | ||
| 86 | + documenting the analysis you work on. | ||
| 87 | + | ||
| 84 | 88 | * [How to Version Control Jupyter Notebooks](https://nextjournal.com/schmudde/how-to-version-control-jupyter) | |
| 85 | 89 | explains how Jupyter Notebooks are stored in JSON, the issues with that | |
| 86 | 90 | format for [source control](/source-control.html) and how to get | |
@@ -55,3 +55,9 @@ of a Python programmer's | |||
| 55 | 55 | * [Invoke-Build](https://github.com/nightroman/Invoke-Build) is a build | |
| 56 | 56 | automation tool. There is also extensive documentation on their | |
| 57 | 57 | [wiki](https://github.com/nightroman/Invoke-Build/wiki). | |
| 58 | + | ||
| 59 | + * [Two months with Powershell on a UNIX](https://code.joejag.com/2020/a-month-with-powershell.html) | ||
| 60 | + examines one developer's experience using PowerShell not on Windows | ||
| 61 | + but on a \*nix [operating system](/operating-systems.html). The author | ||
| 62 | + covers the advantages and disadvantages he found during his experience | ||
| 63 | + and some of the bugs he hopes are fixed in PowerShell 7. | ||
@@ -23,7 +23,11 @@ experience with to the ones I have not used. | |||
| 23 | 23 | ||
| 24 | 24 | * [ngrok](https://ngrok.com/) is the service I use most often. It is | |
| 25 | 25 | easy and worth the small fee to upgrade your account with a few | |
| 26 | - extra features such as fixed, customizable subdomains. | ||
| 26 | + extra features such as fixed, customizable subdomains. There is | ||
| 27 | + also a | ||
| 28 | + [Python wrapper for ngrok called pyngrok](https://github.com/alexdlaird/pyngrok) | ||
| 29 | + that makes it easy to programmatically access the ngrok client | ||
| 30 | + from Python applications. | ||
| 27 | 31 | ||
| 28 | 32 | * [Localtunnel](https://localtunnel.github.io/www/) is a localhost | |
| 29 | 33 | tunnel written in Node.js. | |
@@ -163,3 +163,7 @@ sets. | |||
| 163 | 163 | [Jupyter Notebook](/jupyter-notebook.html) that [Stripe](/stripe.html) | |
| 164 | 164 | for their data analysis across the company. | |
| 165 | 165 | ||
| 166 | + * [The Definitive Data Scientist Environment Setup](https://davidadrian.cc/definitive-data-scientist-setup/) | ||
| 167 | + explains how to set up both a hardware and software configuration that | ||
| 168 | + is conducive to data science research and analysis. | ||
| 169 | + | ||
@@ -175,9 +175,21 @@ for properly handling your data. | |||
| 175 | 175 | past five years. It's amazing to see how far this project has come and | |
| 176 | 176 | how it continues to evolve. | |
| 177 | 177 | ||
| 178 | + * [The Internals of PostgreSQL](http://www.interdb.jp/pg/) is a book | ||
| 179 | + that goes into how PostgreSQL works, including core topics such as | ||
| 180 | + [query processing](http://www.interdb.jp/pg/pgsql03.html), | ||
| 181 | + [concurrency control](http://www.interdb.jp/pg/pgsql05.html) and the | ||
| 182 | + [layout of heap table files](http://www.interdb.jp/pg/pgsql01.html). | ||
| 183 | + | ||
| 178 | 184 | * [PostgreSQL Weekly](http://postgresweekly.com/) is a weekly newsletter of | |
| 179 | 185 | PostgreSQL content from around the web. | |
| 180 | 186 | ||
| 187 | + * [My Favorite PostgreSQL Extensions - Part One](https://severalnines.com/database-blog/my-favorite-postgresql-extensions-part-one) | ||
| 188 | + and | ||
| 189 | + [part two](https://severalnines.com/database-blog/my-favorite-postgresql-extensions-part-two) | ||
| 190 | + are roundups of useful PostgreSQL extensions that augment the | ||
| 191 | + standard PostgreSQL functionality. | ||
| 192 | + | ||
| 181 | 193 | * [An introduction to PostgreSQL physical storage](http://rachbelaid.com/introduction-to-postgres-physical-storage/) | |
| 182 | 194 | provides a solid walkthrough of where PostgreSQL files are located on | |
| 183 | 195 | disk, how the files store your data and what mappings are important for | |
@@ -133,6 +133,10 @@ A handful of the best of these tutorials are listed below. | |||
| 133 | 133 | goes into details for why the company Userlike migrated from their MySQL | |
| 134 | 134 | database setup to PostgreSQL. | |
| 135 | 135 | ||
| 136 | + * [MySQL sharding at Quora](https://www.quora.com/q/quoraengineering/MySQL-sharding-at-Quora) | ||
| 137 | + provides details behind Quora's at-scale infrastructure and | ||
| 138 | + how their MySQL sharding evolved over time. | ||
| 139 | + | ||
| 136 | 140 | * [Growing up with MySQL](https://nylas.com/blog/growing-up-with-mysql/) is | |
| 137 | 141 | a story about how one company went through dramatic growth and had to keep | |
| 138 | 142 | up with it by quickly scaling their MySQL database. | |
@@ -49,6 +49,10 @@ is a data structures and analysis library. | |||
| 49 | 49 | shows how to use the `crosstab` function in pandas so you can summarize | |
| 50 | 50 | and group data. | |
| 51 | 51 | ||
| 52 | + * [Calculating streaks in pandas](https://joshdevlin.com/blog/calculate-streaks-in-pandas/) | ||
| 53 | + shows how to measure and report on streaks in data, which is where | ||
| 54 | + several events happen in a row consecutively. | ||
| 55 | + | ||
| 52 | 56 | * [How to Convert a Python Dictionary to a Pandas DataFrame](https://www.marsja.se/how-to-convert-a-python-dictionary-to-a-pandas-dataframe/) | |
| 53 | 57 | is a straightforward tutorial with example code for loading and adding | |
| 54 | 58 | data stored in a typical Python dictionary into a DataFrame. | |
@@ -118,3 +122,7 @@ is a data structures and analysis library. | |||
| 118 | 122 | * [How to use Pandas read_html to Scrape Data from HTML Tables](https://www.marsja.se/how-to-use-pandas-read_html-to-scrape-data-from-html-tables/) | |
| 119 | 123 | has a bunch of great code examples that show how to load | |
| 120 | 124 | data from HTML directly into your DataFrames. | |
| 125 | + | ||
| 126 | + * [How to download fundamentals data with Python](http://theautomatic.net/2020/05/05/how-to-download-fundamentals-data-with-python/) | ||
| 127 | + shows how to obtain and use financial data, such as balance sheets, | ||
| 128 | + stock prices, and various ratios to perform your own analysis on. | ||
@@ -21,6 +21,7 @@ in [1989](http://home.cern/topics/birth-web). Web development is the concept | |||
| 21 | 21 | that encompasses all the activities involved with websites and web | |
| 22 | 22 | applications. | |
| 23 | 23 | ||
| 24 | + | ||
| 24 | 25 | ## How does Python fit into web development? | |
| 25 | 26 | Python can be used to build server-side web applications. While a | |
| 26 | 27 | [web framework](/web-frameworks.html) is not required to build web apps, | |
@@ -76,6 +77,11 @@ world. | |||
| 76 | 77 | that the visualization unfortunately stops around the beginning of 2013 but | |
| 77 | 78 | it's a good way to explore what happened in the first 24 years. | |
| 78 | 79 | ||
| 80 | + * [What happens when?](https://github.com/alex/what-happens-when) is an | ||
| 81 | + incredibly detailed answer to the questions "What happens when you | ||
| 82 | + type google.com into your browser's address box and press enter?" that | ||
| 83 | + seems straightforward on the surface until you really dig in. | ||
| 84 | + | ||
| 79 | 85 | * [How browsers work](https://www.html5rocks.com/en/tutorials/internals/howbrowserswork/) | |
| 80 | 86 | provides an overview with solid detail on how browsers take the HTML, | |
| 81 | 87 | CSS, JavaScript, images and other files as input and render webpages as | |
@@ -135,12 +135,21 @@ the framework. | |||
| 135 | 135 | order to build and deploy a RESTful API powered by Python, Django, | |
| 136 | 136 | and Django REST Framework. | |
| 137 | 137 | ||
| 138 | + * [User Interaction With Forms](https://www.mattlayman.com/understand-django/user-interaction-forms/) | ||
| 139 | + explains general web form input, how Django handles forms via POST requests, | ||
| 140 | + different types of input such as CharFields, DateFields and EmailFields, | ||
| 141 | + and validating that input. | ||
| 142 | + | ||
| 138 | 143 | * This 3-part Django project optimization guide covers a wide range of | |
| 139 | 144 | advanced topics such as | |
| 140 | 145 | [Profiling and Django settings](https://dizballanze.com/django-project-optimization-part-1/), | |
| 141 | 146 | [working with databases](https://dizballanze.com/django-project-optimization-part-2/) | |
| 142 | 147 | and [caching](https://dizballanze.com/django-project-optimization-part-3/). | |
| 143 | 148 | ||
| 149 | + * [Caching in Django](https://testdriven.io/blog/django-caching/) is a detailed | ||
| 150 | + look at the configuration required for caching and how to measure the | ||
| 151 | + performance improvements once you have it in place. | ||
| 152 | + | ||
| 144 | 153 | * [Mental Models for Class Based Views](https://djangodeconstructed.com/2020/01/03/mental-models-for-class-based-views/) | |
| 145 | 154 | provides some comparison points between class based views (CBVs) and | |
| 146 | 155 | function based views and the author's opinions for how you can better | |
@@ -257,6 +266,11 @@ based on [WebSockets](/websockets.html). | |||
| 257 | 266 | is a good post to read for figuring out how to use [Gulp](http://gulpjs.com/) | |
| 258 | 267 | for handling front end tools in development and production Django sites. | |
| 259 | 268 | ||
| 269 | + * [Django Testing Cheat Sheet](https://www.valentinog.com/blog/testing-django/) | ||
| 270 | + covers many common scenarios for Django applications such as testing | ||
| 271 | + POST requests, request headers, authentication, and large numbers of | ||
| 272 | + model fields in the [Django ORM](/django-orm.html). | ||
| 273 | + | ||
| 260 | 274 | * [Getting Started with Django Testing](http://howchoo.com/g/mjkwmtu5zdl/getting-started-with-django-testing) | |
| 261 | 275 | will help you stop procrastinating on testing your Django projects if you're | |
| 262 | 276 | uncertain where to begin. | |
@@ -181,6 +181,11 @@ combined with the example real-world projects listed in the next section. | |||
| 181 | 181 | [Docker](/docker.html). It shows how to [deploy](/deployment.html) it to an | |
| 182 | 182 | Amazon EC2 instance then scale the services on Amazon EC2 Container Service (ECS). | |
| 183 | 183 | ||
| 184 | + * [Build a Video Chat Application with Python, JavaScript and Twilio Programmable Video](https://www.twilio.com/blog/build-video-chat-application-python-javascript-twilio-programmable-video) | ||
| 185 | + shows how to use [Twilio](/twilio.html) | ||
| 186 | + [Programmable Video](https://www.twilio.com/video) to build cross-platform | ||
| 187 | + (web, iOS and Android) video into Flask applications. | ||
| 188 | + | ||
| 184 | 189 | * [Why and how to handle exceptions in Python Flask](https://opensource.com/article/17/3/python-flask-exceptions) | |
| 185 | 190 | has some great example code and reasons why you should code defensively | |
| 186 | 191 | by anticipating and handling the unhappy path exceptions in your Flask | |
0 commit comments