NumPy

@numpy_team · joined 11 Dec 2019

Official account of NumPy. Announcements only. For questions and comments, please use the mailing list numpy-discussion@python.org.

36 479Followers

10Following

180Posts total

7.2KViews on collected posts

Neueste Beiträge

NumPy@numpy_team19 Aug

Curious about contributing to NumPy? Already started and have questions? Join @InessaPawson for our monthly New Contributors' Hour this Thursday, August 20th at 10 pm UTC. For details, visit: https://t.co/Od4VsQOL5T https://t.co/aSY6dU1GaD

1.3K views · 3 likes · 0 reposts · 0 replies Open on X →

NumPy@numpy_team25 May

Curious about contributing to NumPy? Already started and have questions? Join @InessaPawson for our monthly New Contributors' Hour this Thursday, May 28th at 10 pm UTC . For details, visit: https://t.co/wcIQf6CGtR https://t.co/j0cTTOz2O3

1.3K views · 4 likes · 0 reposts · 2 replies Open on X →

NumPy@numpy_team1 Mar

This Thursday, March 5th at 10 pm UTC join @InessaPawson for our monthly New Contributors' Hour. Stop by to ask questions, share your progress, or just to say hi. For details, visit: https://t.co/kwiSz4x59j https://t.co/tN5i76Wv2z

1.2K views · 4 likes · 2 reposts · 0 replies Open on X →

NumPy@numpy_team5 Feb

Tomorrow, Feb 5th at 10 pm UTC join our monthly New Contributors' Hour. Stop by to ask questions, share your progress, or just to say hi. For details, visit: https://t.co/lLZ2qYT1zP https://t.co/gfz9GrZ22U

905 views · 2 likes · 1 reposts · 1 replies Open on X →

NumPy@numpy_team9 Jan

The impact is undeniable, and what stands out beyond the technical milestones is the cross-project collaboration required to make it last. 🤝 Thank you, Joren, for all your contributions and to all our sponsors who made this fellowship possible! 🙏 902 views · 2 likes · 0 reposts · 0 replies Open on X →

NumPy@numpy_team9 Jan

📣 In his blog post marking one year as a NumPy Developer-in-Residence, Joren Hammudoglu shares a retrospective on a year of sustained, focused work to make NumPy fully type-checked and to strengthen typing support across the SciPy ecosystem. 🔗https://t.co/RMirX2CnuC 1.6K views · 8 likes · 1 reposts · 1 replies Open on X →

Im Vergleich zu Konten gleicher Größe

1 Beiträge aus den letzten 90 Tagen, verglichen mit der Größenklasse 10K–100K Follower. übliche Reichweite für diese Größe, schwächere Reaktion als bei den meisten.

Medianaufrufe1 280dieses Konto924Median für 10K–100K

Reichweite, %3.51%dieses Konto3.62%Median für 10K–100K

Interaktion, %0.23%dieses Konto1.52%Median für 10K–100K

Kennzahl	Dieses Konto	Median für 10K–100K	Verhältnis
Medianaufrufe pro Beitrag	1 280	924	1.39×
Reichweite (Aufrufe ÷ Follower)	3.51%	3.62%	0.97×
Interaktionsrate	0.23%	1.52%	0.15×

Weitere Konten dieser Größe → Mit einem anderen Konto vergleichen → Wie diese Vergleichswerte entstehen →

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

1.6K9 Jan

902

9055 Feb

1.2K1 Mar

1.3K25 May

1.3K19 Aug

Last 6 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.69%9 Jan

0.22%

0.44%5 Feb

0.48%1 Mar

0.47%25 May

0.23%19 Aug

Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.52%.

What the audience does

Likes59.0%23 in total

Reposts10.3%4 in total

Replies10.3%4 in total

Quotes2.6%1 in total

Bookmarks17.9%7 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.