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Pandas itu mudah kalau mengerti struktur datanya! Dua struktur utama di Pandas : πŸ“Š SERIES = 1 kolom | πŸ“‹ DATAFRAME = tabel lengkap Series = Array 1D dengan index. DataFrame = Kumpulan Series (bany
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NumPy = Numerical Python! Core dari NumPy adalah ndarray (n-dimensional array). Kenapa NumPy lebih cepat? πŸ“Œ Homogen - satu tipe data πŸ“Œ Vectorized - operasi tanpa loop πŸ“Œ Contiguous memory - lebih
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Di Go, yang penting bukan siapa parent class-mu, tapi apa yang bisa kamu lakukan Interfaces di Go membawa konsep duck typing ke level yang lebih eksplisit : Kalau sebuah type punya method yang sesua
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Jangan sampai data ikut hilang saat container dihapus! Di Docker, container itu bersifat ephemeral β€” cepat dibuat, cepat dihancurkan. Tapi untuk database, upload file, atau konfigurasi penting, kita b
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Evaluasi model itu penting πŸ“Š Accuracy, Precision, Recall, F1 Score, dan AUC-ROC membantu kita memahami seberapa baik performa model machine learning. Pilih metrik yang sesuai dengan kebutuhan kasusm
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TensorFlow dimulai dari Tensor! Sebelum belajar deep learning dengan TensorFlow, kamu harus paham dulu tentang TENSOR. Apa itu Tensor? Tensor = generalization dari matrix. Bisa 0D (skalar), 1D (vec
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Switch statement di Rust? Jauh lebih powerful! match expression di Rust bukan sekadar switch β€” dia exhaustive, bisa destructuring, ada pattern guards, dan banyak fitur keren lainnya. Slide ini baha
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Training model PyTorch masih bingung pilih optimizer? Slide ini bahas 3 optimizer populer : - SGD : Klasik dengan momentum, generalization bagus untuk CV - Adam : Adaptive, default choice, konvergen
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List Comprehension = Cara Pythonic! Buat list dengan lebih singkat dari for loop : ```python squares = [i ** 2 for i in range(10)] ``` πŸ“Œ BASIC : [expression for item in iterable] πŸ“Œ DENGAN FILTER
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Operasi matematika di array NumPy masih pakai Python loop? Bisa lebih cepat! πŸš€ Universal functions (ufunc) di NumPy adalah fungsi vectorized yang jalan di C-level. Hasilnya? Operasi jutaan elemen d
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Go Modules vs GOPATH - perbedaan utama! Dulu : GOPATH - Semua project di $GOPATH/src/, tidak ada versioning Sekarang : Go Modules πŸ“¦ go.mod = manifest dependencies go mod init | go get package@ver
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Git Dasar - 4 Perintah Utama! 1️⃣ git init - Mulai project Git 2️⃣ git status - Cek keadaan repo 3️⃣ git add - Stage file untuk commit 4️⃣ git commit - Simpan perubahan Workflow : edit files β†’ git
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About @idrumahcoding

Rumah Coding is a Instagram micro influencer in the Education category. With 15.2K followers and 12 posts, idrumahcoding's account shows a follower-to-following ratio of 108.7:1. This profile demonstrates strong community engagement within its niche. View all content anonymously on Pictame - no login required.

idrumahcoding's engagement rate sits at 0.02%. For accounts with 10K-100K followers, the average is around 2.5%, so there's some room to grow β€” though every community is unique.

Out of the last 12 posts, 0% are videos and 100% are photos. New content goes up pretty much every day β€” a very consistent posting habit. Captions lean moderate, averaging 486 characters.

0.02% engagement rate β€” room to grow compared to average for 10K-100K follower accounts.
Posts every day β€” very consistent.
108.7:1 follower-to-following ratio.

FAQs About @idrumahcoding

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idrumahcoding
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@idrumahcoding

Rumah Coding

PublicEducation
Posts
12
Followers
15.2K
Top Hashtags
#programming#coding#rumahcoding#python#developer#datascience#belajarpython#tech

Explore the most impactful hashtags used in recent posts. These tags highlight the core interests and trending topics that define this profile's digital influence and content strategy.

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Popular Hashtags

#beautiful#nature#travel#follow#explorepage#happy#picoftheday#cute#style#instalike#beauty#tbt
Following
140
Avg. Likes
2
Avg. Comments
0
Engagement
0.01%

Tempatnya belajar ngoding

rumahcoding.id
#summer
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#repost