Commit 290837e

<div class="well see-also">If you're learning about why to use Python you should also take a look at <a href="/best-python-resources.html">the best Python resources</a> and read <a href="/web-development.html">more about web development</a>.</div>

Several programming language popularity rankings exist. While it's

possible to criticize that these guides are not exact, every ranking shows

Python as a top programming language within the top ten, if not the top five

remains a stable programming language with a growing ecosystem.

Programming languages have unique ecosystems, cultures and philosophies

built around them. You will find friction with a community and difficulty

in learning if your approach to programming varies from the philosophy of

Namespaces are one honking great idea -- let's do more of those!

Programming language rankings and the philosophy behind a language

provide solid initial data points for why you should learn Python.

These resources also give perspectives on why people switched from other

libraries are lagging in full Python 3 support.

Since upgrading from Python 2 to 3 has been such a huge undertaking within

the community, many projects have sprung up to make the transition easier.

is a great slideshow with code snippets that show useful new features

of Python 3 that are not available in 2.x such as keyword-only

arguments, chained exceptions and the `yield from` keyword.

languages as is often the case in large organizations.

The following articles cover topics in enterprise development that are

often not discussed when dealing with standard Python development.

projects and no new members take their place.

The Python online community has fantastic resources for learning but talking

to your fellow developers in-person at conferences, meetups and hackathons

is a crucial way to discover new tools and coding approaches. The following

in everywhere regardless of whether the usage is intentional.

Python is widely-used across financial institutions, whether they are

hedge funds, large banks or regulators (see "Government Agencies" section

below).

and [configuring DNS](https://www.paypal-engineering.com/2015/12/16/enterprise-overhaul-resolving-dns/).

Large technology companies tend to be polyglot (use many programming

languages rather than standardizing on one), with Python either as a

primary language or the "glue" that helps all the other languages fit

[in this awesome overview post titled "What its like to be a developer at..."](https://increment.com/development/what-its-like-to-be-a-developer-at/).

Python usage in government agencies is widespread despite the reputation of

agencies as stodgy late technology adopters. Organizations range from

financial industry regulators like the SEC and CFPB, to intelligence agencies

National Institute of Standards and Technology (NIST).

Python is so widely used across various industries that developers have

written guides specific to their occupations for how to use Python. The

following resources are guides for using Python in astronomy, social

development podcasts.

Python's active community constantly publishes new tutorials and

walkthroughs. It is easier to keep up if you follow along by subscribing

to several email newsletters that round up and curate the best new

<div class="well see-also">Check out the <a href="/best-python-resources.html">best Python resources</a> for links to great books and articles as well as <a href="/best-python-podcasts.html">must-listen Python podcasts</a> for audio-only shows.</div>

The following [web development](/web-development.html) videos cover the broad

topics of using [web frameworks](/web-frameworks.html) like

[Django](/django.html), [Flask](/flask.html), [Pyramid](/pyramid.html) and

[web framework](/web-frameworks.html) topics.

The core Python programming language has many new features now that almost

all [community](/python-community.html) resources are working on

[Python 3](/python-2-or-3.html) instead of split across legacy 2.x branches.

lecture videos and exercises for learning Python.

All major Python conferences, as well as most regional ones, release

technical talk videos for free. These sites either aggregate the thousands

of videos that have been released or are lists from specific conferences

high-quality podcasts.

These podcasts are run and recorded by Python developers who focus on

topics that are important to our field. Each podcast series has a long

list of previously-recorded episodes that are still relevant even if they

influential [Python community](/python-community.html) members.

Here are a list of my favorite episodes from various Python podcasts before

we dive into entire podcast recommendations in the next section. Dig into

these episodes to get a feel for various personalities and styles in

<div class="well see-also">If you prefer to learn Python by reading check out the <a href="/best-python-resources.html">best Python resources page</a> or <a href="/table-of-contents.html">view all topics</a>.</div>

These podcasts are not specific to Python but cover relevant software

engineering topics and often have episodes on Python topics. At the

very least you will become a better general software developer by

and DevOps-related topics.

The [data](/data.html) science community does not only use Python as its

core programming language but it plays a big role in almost every

organization performing data analysis. The following podcasts cover

operating system.

Python code needs to be written, executed and tested to build

applications. The text editor provides a way to write the code. The

interpreter allows it to be executed. Testing to see if the code does what

<div class="well see-also">While you're learning about development environments be sure to check out information on <a href="/vim.html">Vim</a> and <a href="/emacs.html">Emacs</a>.</div>

Here's what I (the author of Full Stack Python,

[Matt Makai](/about-author.html)) use to develop most of my Python

applications. I have a Macbook Pro with Mac OS X as its base operating

less expensive set up or a cloud-based development environment.

Often the best way to figure out how to get comfortable in your own

development environment is to see examples of how other experienced

developers have set up their configurations. The following posts contain

Python 2 & 3.

Several cloud-based development environments have popped up over the past

several years. These hosted environments can work well when you are learning

or stuck on a machine with a web browser but otherwise no administrative