Mike Driscoll ✓

@driscollis · Iowa · joined 16 Jan 2009

Python Book author, blogger, and more @ThePSF #Python

135 166Followers

970Following

42 311Posts total

32.1KViews on collected posts

Postingan terbaru

Mike Driscoll ✓@driscollis16 jam

Need to get a Windows application's version number? Here's an old example that shows how to do it with #Python https://t.co/nU7ftgitu5

1.8K views · 3 likes · 0 reposts · 0 replies Open on X →

Mike Driscoll ✓@driscollis20 jam

How to download a file over FTP with #Python using ftplib https://t.co/wYzUFRsylJ

2.5K views · 5 likes · 1 reposts · 0 replies Open on X →

Mike Driscoll ✓@driscollis14 Sep

There's a neat new feature on Pybites, a Python code challenge site that is a great place to learn and improve your #Python skills! 4.2K views · 3 likes · 0 reposts · 0 replies Open on X →

Mike Driscoll ✓@driscollis11 Sep

Why #Python keeps growing: • Reads like English • Massive community • Libraries for everything • Works for automation, web apps, data analysis, AI You spend less time debugging. More time building. Need to work with Excel? There's openpyxl. Web scraping? BeautifulSoup. 4.3K views · 18 likes · 1 reposts · 2 replies Open on X →

Mike Driscoll ✓@driscollis2 Dec 2025

@driscollis I’ve been watching a lot of kickstarter launches lately, and this one caught my eye. Great direction and presentation wishing you strong traction ahead 🙏 22 views · 0 likes · 0 reposts · 0 replies Open on X →

Mike Driscoll ✓@driscollis16 Aug 2025

@driscollis Every once in a while I meet new forces that join our dev team, I always recommend deep diving the logging module first. Personally for utility scripts I use (and adore) loguru https://t.co/mgHHXTmIlz 134 views · 1 likes · 0 reposts · 0 replies Open on X →

Mike Driscoll ✓@driscollis13 Aug 2025

@driscollis Logging for python definitely benefit from some widespread attention. I both like it and wonder how much I'm missing by going a self-taught, read-the-docs route 189 views · 0 likes · 0 reposts · 0 replies Open on X →

Mike Driscoll ✓@driscollis13 Aug 2025

Do you use #Python's logging module? If you'd like to take your logging code to the next level, you should check out my book: https://t.co/aMmBWIbVKN 18.9K views · 52 likes · 6 reposts · 7 replies Open on X →

Dibandingkan akun berukuran sama

4 postingan dari 90 hari terakhir, dibandingkan dengan rentang 100K–1M pengikut. tampil luas, tetapi sedikit penonton yang merespons.

Median tayangan3 328akun ini6 277median untuk 100K–1M

Jangkauan, %2.46%akun ini1.78%median untuk 100K–1M

Interaksi, %0.20%akun ini1.12%median untuk 100K–1M

Metrik	Akun ini	Median untuk 100K–1M	Rasio
Median tayangan per postingan	3 328	6 277	0.53×
Jangkauan (tayangan ÷ pengikut)	2.46%	1.78%	1.38×
Tingkat interaksi	0.20%	1.12%	0.18×

Akun lain pada rentang ini → Bandingkan dengan akun lain → Bagaimana tolok ukur ini disusun →

Growth & engagement

How the posts we collected actually performed: views and reaction rate post by post, what the audience did with them, and where the follower count goes.

Views per post

18.9K13 Aug

189

13416 Aug

222 Dec

4.3K11 Sep

4.2K14 Sep

2.5K15 Sep

1.8K

Last 8 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.34%13 Aug

0.00%

0.75%16 Aug

0.00%2 Dec

0.51%11 Sep

0.07%14 Sep

0.24%15 Sep

0.17%

Reactions — likes, reposts, replies and quotes — divided by views. Median for 100K–1M accounts is 1.12%.

What the audience does

Likes58.2%82 in total

Reposts5.7%8 in total

Replies6.4%9 in total

Quotes0.7%1 in total

Bookmarks29.1%41 in total

Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.

The follower curve appears once this account has two daily snapshots — we take one a day, and this one is on its first.