The 3 Best Python Books for Your Team

Python was the core programming language used at Parse.ly. It is a widely-used language with huge adoption among open source projects. It’s no wonder it’s one of the leading languages for software teams.

I’ve written a couple of blog posts with original material for learning Python, including “import this: learning the Zen of Python with code and slides” and “Build a web app fast”.

Newcomers to Python are often overwhelmed by the wealth of information, available online and in print, for the language. I am often asked by others, “What are the best books for my Python team?” I plan to answer that question with this post, by highlighting what I consider to be the three best Python books on the market today.

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Picking tech stacks

I realize now that one of the hardest parts of running a successful startup is “betting” on tech stacks that, 3 years out, will have a groundswell of community support around them.

It’s still shocking to me that when I chose each of the following technologies as a central part of Parse.ly, they were so new/immature as to not even show up on a Google search trends box, but are now very popular technologies.

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Office extinction for knowledge workers and the rise of fully distributed teams

Esko Kilpi wrote:

For most of the developed world, firms, as much as markets, make up the dominant economic pattern. The Internet is nothing less than an extinction-level event for the traditional firm. The Internet, together with technological intelligence, makes it possible to create totally new forms of economic entities… Also very small firms can do things that in the past required very large organizations.

This is true. But for certain small firms that are run as fully distributed teams (as mine, Parse.ly, is) the Internet is an extinction-level event for the physical manifestation of the firm — the office.

Already, companies such as GitHub and Automattic have minimized the importance of co-location in work collaboration. Successful massive creative projects are delivered not just by distributed teams, but also by volunteer teams. For example: the Linux kernel and Wikipedia. I wrote about this in my essay, “Fully Distributed Teams: Are They Viable?”

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What entrepreneurship really looks like

In 2009, Jack & Russ hacked on an early prototype of SeatGeek for the Dreamit Ventures summer class in Philadelphia. The initial prototype came together in the last two weeks before demo day. I remember that Russ hadn’t shaved in weeks because they were spending every night hacking.

You see, before that, the founding pair knew they wanted to start a company, but they weren’t sure about the idea. They had brainstormed ideas ranging from “WebMD for pets” to “amateur art marketplaces”, finally landing at “Yelp for Bloggers”, an idea they called Scribnia. This got them into Dreamit Ventures.

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The New Republic as a product

From a poster at Hacker News commenting on The New Yorker article, Inside the Collapse of The New Republic:

I think I’m exactly the audience that TNR wants. I’m well-educated, make a good living, largely agree with them politically, enjoy long-form journalism, and am familiar with the brand and its history.

Yet I don’t think I would ever subscribe to TNR. I just see a magazine as something that’s going to pile up in my house. I can read more than enough great content online for free. If I was going to subscribe to a magazine, I think that The New Yorker is a lot more interesting than The New Republic.

Take note, journalistas. This is how your readers view your stuff — not as a “public trust”, “a voice”, or “a cause”, as TNR was described by the exiting editors in their resignation letter.

For better or worse, readers view your stuff as a product. And a product, to be bought, let alone used, needs to be useful.

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Solving problems with startups

Interesting insider Q&A with Paul Sutter, co-founder of Quantcast. Via Hacker News:

Q: What methodical process did you follow for your startup? Did you first test the market using tactics similar to the lean startup approach?

A: Basically, make a list of known problems that you’re well suited to solving, rank them by criteria, fail a lot, bang your head against the wall, and eventually things start to stick.

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Web interest in Apache Storm, Kafka, Spark in the Python community

Apache Storm, Kafka, and Spark are gaining a lot of momentum in the data analysis and processing communities. I was curious whether the interest in using these technologies with Python, in particular, is growing. Based on these Google Trends reports, it seems like it is.

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Everybody Worships

From David Foster Wallace’s Kenyon College commencement speech, “This is Water”.

Everybody worships.

The only choice we get is what to worship. And the compelling reason for maybe choosing some sort of god or spiritual-type thing to worship — be it JC or Allah, be it YHWH or the Wiccan Mother Goddess, or the Four Noble Truths, or some inviolable set of ethical principles — is that pretty much anything else you worship will eat you alive.

If you worship money and things, if they are where you tap real meaning in life, then you will never have enough, never feel you have enough.

It’s the truth.

Worship your body and beauty and sexual allure and you will always feel ugly. And when time and age start showing, you will die a million deaths before they finally grieve you.

On one level, we all know this stuff already. It’s been codified as myths, proverbs, clichés, epigrams, parables; the skeleton of every great story. The whole trick is keeping the truth up front in daily consciousness.

Worship power, you will end up feeling weak and afraid, and you will need ever more power over others to numb you to your own fear.

Worship your intellect, being seen as smart, you will end up feeling stupid, a fraud, always on the verge of being found out.

But the insidious thing about these forms of worship is not that they’re evil or sinful, it’s that they’re unconscious. They are default settings.

They’re the kind of worship you just gradually slip into, day after day, getting more and more selective about what you see and how you measure value without ever being fully aware that that’s what you’re doing.

Listen to the full audio, it’s only ~20mins. Worth it.

Clojonic: Pythonic Clojure

In June 2012, I promised myself that I’d learn Clojure “as a mind expander”. As a long-time Python programmer who has been using Python full-time in my work at Parse.ly, I wanted to explore. I wrote then:

I don’t know whether Clojure programs will be better or worse than equivalent Python programs. But I know they will be different.

It took me awhile, but in January of this year, I started teaching myself the language.

Rich Hickey, and the “Cult of Personality”

My approach was to first learn the underpinnings of the language from books and online videos. If you embark on this for Clojure, you will inevitably run into the copious publicly-available material from the language’s creator, Rich Hickey.
In stark contrast to Guido van Rossum in the Python community, Rich Hickey is undeniably not just the Clojure language’s creator, but also a kind of spokesperson for a functional programming renaissance. Guido van Rossum generally lays low and lets the Python language and community speak for itself, and tries to avoid controversy. To him, Python is just a popular tool he happened to create, and it doesn’t represent any major paradigm shift in programming. It’s a positive evolutionary improvement supported by a great open source ecosystem and community. To Hickey, however, “traditional” programming languages — but especially popular ones with an object-oriented focus, such as Java and C++ — are just plain wrong. He proposes Clojure as an antidote of sorts.

You can get the gist of this from his motivating videos, such as Hammock-Driven Development, Are We There Yet?, and Simple Made Easy. For a thorough overview of Clojure as a language, you can also get a walkthrough by Hickey, given to a room full of Java developers, in Clojure for Java Programmers Part I and Part II.

Here is a summary of the viewpoint. Most languages are missing some important attributes that can help us tackle the most complex issues in programming projects:

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“So, you work in IT?”

For many years, IT as a field was dominated by people who could not write code.

This is because computer technology was mystifying and befuddling to most people that anyone who knew merely how to use computers with any level of comfort could demand a tax from those who didn’t.

During that same period (late 90s and early 2000’s), programming itself was being commoditized by offshore outsourcing, so the same IT people were positioning themselves for management positions. This is how MIS (Management of Information Systems) became a popular career path among the IT elite, and why when I was in college in 2002-2006, Comp Sci enrollment was at a major low.

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