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Adam Aulia Rahmadi
Adam Aulia Rahmadi

37 Followers

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Published in

Miloo Community

·Apr 27, 2021

Ngoding Pandas Dengan Skill SQL

=== disclaimer === pembaca diharapkan memahami bahasa sql sebelum lanjut membaca story ini library yang dibutuhkan pandasql https://pypi.org/project/pandasql/ Introduction SQL adalah bahasa pemrograman yang banyak digunakan untuk kebutuhan analisis dari relational database dan SQL sudah jauh lebih popular sebelum python. Python adalah bahasa pemrograman yang akhir-akhir ini sering digunakan oleh…

Pandas

3 min read

Ngoding Pandas Dengan Skill SQL
Ngoding Pandas Dengan Skill SQL
Pandas

3 min read


Published in

Analytics Vidhya

·Apr 7, 2021

How to Master Pandas Data Wrangling using SQL Code

In this story, I assume you are a person expert/familiar with SQL and understand a bit of python. Introduction SQL is a programming language to extract information from a database. Moreover, SQL is well known for analytics before python and R. Python is a programming language. It can performs many…

Data Wrangling

2 min read

How to Master Pandas Data Wrangling using SQL Code
How to Master Pandas Data Wrangling using SQL Code
Data Wrangling

2 min read


Published in

Miloo Community

·Dec 11, 2020

Sebuah metode untuk diskritisasi longitute dan latitude

Short story, Medium story ini berkaitan dengan stories sebelumnya. Artikel ini merupakan bagian dari data geo spatial. Pertama-tama apa itu data geospatial ? berdasarkan www.gislounge.com, geospatial data di definisikan sebagai berikut Intinya, segala bentuk data yang mengandung koordinat, alamat, kota, kode pos, dll. merupakan data geospatial.

Python Data Analysis

3 min read

Sebuah metode untuk diskritisasi longitute dan latitude
Sebuah metode untuk diskritisasi longitute dan latitude
Python Data Analysis

3 min read


Published in

Analytics Vidhya

·Dec 6, 2020

A method to discretization latitude and longitude

short story, This story is related to previous stories. This main article is a part of geospatial data landscape. Firstly, What is geospatial data ? According to www.gislounge.com, geospatial data is define as below. In short, any data that contains coordinates, address, city or zip codes. …

3 min read

A method to discretization latitude and longitude
A method to discretization latitude and longitude

3 min read


Published in

Miloo Community

·Jul 31, 2020

Konversi alamat menjadi latitude dan longitude

Sebelum dimulai, silahkan membuat akun disini. selanjutnya, membuat sebuah project. Alasan utama saya menggunakan layanan here adalah gratis (250K request/bulan), jika saya menggunakan google, saya harus mendaftarkan kartu kredit. Sebelum memulai ke API, ada langkah-langkah yang diperlukan untuk membuat authentication key. Ketika registrasi auth key sukses, maka akan muncul gambar…

Python

3 min read

Konversi alamat menjadi latitude dan longitude
Konversi alamat menjadi latitude dan longitude
Python

3 min read


Published in

Analytics Vidhya

·Jul 31, 2020

Reverse address to latitude and longitude using here API

Before we start, please create account on here. And then create a project. Main reason I use here services because it’s free (250k request/month), if I use google service, it requires credit card. Before we jump to API, there are few steps to create authentication key. If auth key registration…

Python

3 min read

Reverse address to latitude and longitude using here API
Reverse address to latitude and longitude using here API
Python

3 min read


Published in

Miloo Community

·Jul 12, 2020

Membuat Peta Interaktif Dengan Folium

Sejak work from home selama kurang lebih dua bulan, jadi saya mencoba sesuatu yang baru. Inspirasi ini berdasarkan dashboard corona yang dibuat menggunakan arcgis dan saya penasaran apakah python bisa memembuat dashboard serupa dan bisa, Saya menemukan Folium sebagai peta interaktif. Folium bisa melakukan banyak hal, seperti membuat pin point…

Python

2 min read

Membuat Peta Interaktif Dengan Folium
Membuat Peta Interaktif Dengan Folium
Python

2 min read


Published in

Analytics Vidhya

·May 22, 2020

Folium Python Interactive Maps

since corona outbreak almost two months, so I decided to learn something new. The inspiration behind this story was corona dashboard made by arcgis and I wonder if python could do the same. and yes, I found Folium as interactive library maps. Quickstart - Folium 0.11.0 documentation There are numerous marker types, starting with a simple style location marker with a popup and tooltip . There is built…python-visualization.github.io

Python

3 min read

Folium Python Interactive Maps
Folium Python Interactive Maps
Python

3 min read


Published in

Miloo Community

·Dec 31, 2017

Python Simple Crawling Using Beautifulsoup

Requirements Python Dependency Beautifulsoup Requests url : http://indeks.kompas.com/news/2017-08-04/ Introduction Beautiful Soup is a Python library for pulling data out of HTML and XML files. It works with your favorite parser to provide idiomatic ways of navigating, searching, and modifying the parse tree. It commonly saves programmers hours or days of work. HTML…

Web Development

3 min read

Python Simple Crawling Using Beautifulsoup
Python Simple Crawling Using Beautifulsoup
Web Development

3 min read


Dec 3, 2017

Image Color Clustering

requirement opencv matplotlib sklearn short story the purpose behind this experiment is to cluster image to n (cluster/area/segmentation) code import library import cv2 from sklearn.cluster import KMeans import matplotlib.pyplot as plt load data #import data im = cv2.imread('rainbow.jpg') reshape data #reshape data reshape_data = im.reshape((im.shape[0]*im.shape[1],im.shape[2])) As we know, original data from image is matrix. For example I have 3D matrix with shape (525,525,3), which means matrix has height 525, width 525, and dimension 3. Next transform into shape 2D matrix with dimension height= 525*525 and width = 3 as RGB and it looks like this.

Machine Learning

2 min read

Image Color Clustering
Image Color Clustering
Machine Learning

2 min read

Adam Aulia Rahmadi

Adam Aulia Rahmadi

37 Followers

data enthusiast, data scientist, data engineer, machine learning, deep learning, analytics, chef

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