Reading CSV in Julia

Julia/CSV/Speed Python.ipynb

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+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import pandas as pd"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "path = \"/home/vaclav/Data/Kaggle/EEE-CIS_Fraud_Detection/train_transaction.csv\""
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "%%timeit\n",
+    "pd.read_csv(path)"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "big-tables",
+   "language": "python",
+   "name": "big-tables"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.5"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}

Julia/CSV/file.csv

@@ -0,0 +1,3 @@
+col1,col2,col3
+A,12,2.0
+B,22,5.1

Julia/CSV/file_2.csv

@@ -0,0 +1,4 @@
+
+col1|col2|col3
+"A|B"|12|2.0
+"B"|22|5.1

Julia/CSV/file_encoding.csv

@@ -0,0 +1,3 @@
+col1|col2|col3
+"È"|12|2.0
+"ø"|22|5.1