Python and newsrooms: AMA with Winny de Jong
Conversations with Data: #25
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Ever dabbled in Python, but somehow didn’t persevere? Or is your newsroom looking to invest in a data journalist? In our two latest courses on DataJournalism.com, renowned Dutch data journalist Winny de Jong answers these questions and more.
But we know that sometimes you’ll still have lingering questions after finishing a course. So, in this edition, we have Winny with us to get you some closure.
What you asked
How can non-coding data journalists first get started with programming?
“Simple: Pick a data story that isn’t too ambitious -- preferably one that you know how to make without programming and no deadline stress, figure out how to get it done with programming, then do it.
This way, you’ll be working on the edge of your comfort zone: You’re learning something new, but there is no deadline stress; you have a backup method when deadline stress begins to occur; and, if you’re not using it as a backup method, you can at least check on your own very first programming results. (And you’ll probably want to check on your first programming work -- I know I did.)”
How and why did you choose to go with Python, when there are so many other programming languages out there?
What books can journalists use to learn Python?
“Personally I’ve always used the internet as my university. There are a lot of good Python resources out there, here’s a list of some favorites:
- the Coursera specialisation Python for Everybody, for its beginner friendliness
- Learn Python the Hard Way (Paid), for its thoroughness
- RealPython.com for its tutorials -- nice when you want to learn a specific library or tool
- DataCamp Python (Paid), very data focused -- what’s in a name? ;)
- shameless self-promotion: the Python for journalists course at DataJournalism.com.
Over time I did use some books: Automate the Boring Stuff, which I liked for its immediate use cases; Python for data analysis (Paid); and Learn Python (Paid). There’s also this open e-book that goes with the Coursera specialisation, Python for Everybody, that I liked.”
What are the biggest challenges when newsrooms first hire a data journalist, and how can these be addressed?
“In my experience, culture and lack of knowledge are the two biggest challenges. The person who hired you might know what you do and how it adds value, but if no one else in the newsroom does you’ll have to work on that first. Organise data talks/lunches, create a data consultation hour, and collaborate. All. The. Time. With. Everybody.
When I started working at the Dutch national news broadcaster, there were a lot of conversations on what to expect when hiring a data journalist (me). Being a team of one, talking with editors, coordinators, and colleagues, managing expectations and creating open communication lines helped me to integrate into the newsroom pretty fast. Keep in mind that colleagues might not understand your data process exactly, but to collaborate it’s enough if they get the abstract version. For example, to discuss a scraper all parties need to know what it is, but not all parties have to know how to write one.”
What additional considerations are there for data journalists working at national and public broadcasters?
“Well, when working at broadcasters in general, if you’re doing data driven journalism it might be that your work is the foundation of a story -- but this foundation is not really visible. Some stories I’ve worked on for days, but no one would know. In the final product the anchorman says: ‘…our research shows that…’. But if you work on stories for the people affected by that story and not your ego, you should be fine. If a story is easier to grasp when you don’t show its data-foundation, you should be a-okay with it.”
Our next conversation
And now to a topic that all journalists will be familiar with: ethical dilemmas. Whether it’s concerns about the privacy of individuals in a dataset, biased data, or potentially misleading conclusions, we want to hear from you. Share the dilemmas you’ve faced, so that others won’t have to.
Until next time,
Madolyn from the EJC Data team
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