REFERENSI CEPAT PYTHON 3
Dasar hingga pandas, requests, csv, json
Dasar
Variabel
name = "Alice" # str
age = 20 # int
gpa = 3.85 # float
active = True # bool
Tipe Data
| str | Teks: "hello" |
| int | Bilangan bulat: 42 |
| float | Desimal: 3.14 |
| bool | True / False |
| list | Terurut, mutable: [1, 2, 3] |
| tuple | Terurut, immutable: (1, 2) |
| dict | Key-value: {"a": 1} |
| set | Item unik: {1, 2, 3} |
Aritmatika
| + - * | Tambah, kurang, kali |
| / | Pembagian (float): 7/2 → 3.5 |
| // | Pembagian bulat: 7//2 → 3 |
| % | Modulo: 7%2 → 1 |
| ** | Pangkat: 2**3 → 8 |
Konversi Tipe
int("42") # 42
float("3.14") # 3.14
str(100) # "100"
list("abc") # ['a','b','c']
Input Pengguna
name = input("Your name? ")
age = int(input("Age? "))
String
Membuat String
s1 = 'single quotes'
s2 = "double quotes"
s3 = """triple quotes
for multiline"""
f-String (Python 3.6+)
name = "Alice"
f"Hello, {name}!" # Hello, Alice!
f"{2 + 3}" # 5
f"{3.14159:.2f}" # 3.14
f"{1000:,}" # 1,000
Slicing String
s = "Python"
# Index: 0 1 2 3 4 5
s[0] # 'P'
s[-1] # 'n'
s[2:5] # 'tho'
s[:2] # 'Py'
s[2:] # 'thon'
s[::-1] # 'nohtyP' (reverse)
Method String
| len(s) | Panjang string |
| s.upper() | HURUF BESAR |
| s.lower() | huruf kecil |
| s.strip() | Hapus spasi di awal/akhir |
| s.split(",") | Pecah menjadi list |
| ",".join(lst) | Gabung list menjadi string |
| s.replace(a, b) | Ganti a dengan b |
| s.find("x") | Index kemunculan pertama (-1 jika tidak ada) |
| s.startswith(x) | Cek awalan → bool |
| s.endswith(x) | Cek akhiran → bool |
| s.count(x) | Hitung kemunculan |
| "x" in s | Cek keberadaan → bool |
List
Membuat & Mengakses
fruits = ["apple", "banana", "cherry"]
fruits[0] # "apple"
fruits[-1] # "cherry"
fruits[1:3] # ["banana", "cherry"]
List Comprehension
squares = [x**2 for x in range(5)]
# [0, 1, 4, 9, 16]
evens = [x for x in range(10) if x%2==0]
# [0, 2, 4, 6, 8]
Method List
| lst.append(x) | Tambah di akhir |
| lst.extend(lst2) | Tambah semua item dari lst2 |
| lst.insert(i, x) | Sisipkan di index i |
| lst.pop() | Hapus & kembalikan item terakhir |
| lst.pop(i) | Hapus & kembalikan item di i |
| lst.remove(x) | Hapus x pertama |
| del lst[i] | Hapus berdasarkan index |
| lst.sort() | Urutkan di tempat |
| sorted(lst) | Kembalikan salinan terurut |
| lst.reverse() | Balik urutan di tempat |
| len(lst) | Jumlah item |
| x in lst | Cek keanggotaan |
| lst.index(x) | Index pertama x |
| lst.count(x) | Jumlah x |
Tuple & Set
Tuple (Immutable)
point = (3, 4)
x, y = point # unpacking
point[0] # 3 (read-only)
Set (Item Unik)
s = {1, 2, 3}
s.add(4); s.remove(1)
a & b # intersection
a | b # union
a - b # difference
Dictionary
Membuat & Mengakses
student = {"name": "Alice", "age": 20}
student["name"] # "Alice"
student.get("gpa", 0) # 0 (default)
student["gpa"] = 3.85 # tambah/update
Dict Comprehension
sq = {x: x**2 for x in range(5)}
# {0:0, 1:1, 2:4, 3:9, 4:16}
Iterasi
for k, v in student.items():
print(f"{k}: {v}")
Method Dict
| d.keys() | Semua key |
| d.values() | Semua value |
| d.items() | Semua pasangan (key, value) |
| d.get(k, default) | Ambil dengan nilai default |
| d.update(d2) | Gabung d2 ke d |
| d.pop(k) | Hapus & kembalikan value |
| del d[k] | Hapus key |
| "k" in d | Key ada? → bool |
| len(d) | Jumlah entri |
Alur Kontrol
if / elif / else
if score >= 90:
grade = "A"
elif score >= 80:
grade = "B"
else:
grade = "C"
Operator Ternary
status = "pass" if score >= 60 else "fail"
Loop
for Loop
for fruit in ["apple", "banana"]:
print(fruit)
range()
range(5) # 0, 1, 2, 3, 4
range(2, 5) # 2, 3, 4
range(0, 10, 2) # 0, 2, 4, 6, 8
while Loop
while count < 10:
count += 1
enumerate() & zip()
for i, val in enumerate(["a", "b"]):
print(i, val) # 0 a, 1 b
for a, b in zip([1, 2], ["x", "y"]):
print(a, b) # 1 x, 2 y
break & continue
for x in range(10):
if x == 5: break # stop loop
if x % 2 == 0: continue # skip
Fungsi
Mendefinisikan & Memanggil
def greet(name, greeting="Hi"):
return f"{greeting}, {name}!"
greet("Alice") # "Hi, Alice!"
greet("Bob", "Hello") # "Hello, Bob!"
Multiple Return Value
def min_max(lst):
return min(lst), max(lst)
lo, hi = min_max([3, 1, 4, 1, 5])
*args & **kwargs
def total(*args): # args is a tuple
return sum(args)
total(1, 2, 3) # 6
def info(**kwargs): # kwargs is a dict
print(kwargs)
Fungsi Lambda
square = lambda x: x**2
square(5) # 25
sorted(lst, key=lambda x: x["age"])
Class
class Dog:
def __init__(self, name, breed):
self.name = name
self.breed = breed
def bark(self):
return f"{self.name} says Woof!"
dog = Dog("Rex", "Lab")
dog.bark() # "Rex says Woof!"
Pewarisan
class Puppy(Dog):
def __init__(self, name, breed, toy):
super().__init__(name, breed)
self.toy = toy
Penanganan Error
try:
result = 10 / 0
except ZeroDivisionError as e:
print(f"Error: {e}")
finally:
print("Always runs")
File I/O
Membaca File
with open("data.txt") as f:
content = f.read() # full text
with open("data.txt") as f:
for line in f: # line by line
print(line.strip())
Menulis File
with open("out.txt", "w") as f:
f.write("Hello\n")
"r" = baca "w" = tulis (timpa) "a" = tambah (append)
CSV
import csv
with open("data.csv") as f:
reader = csv.DictReader(f)
for row in reader:
print(row["name"])
with open("out.csv", "w", newline="") as f:
writer = csv.writer(f)
writer.writerow(["name", "age"])
JSON
import json
data = json.loads('{"name":"Alice"}') # parse
text = json.dumps(data) # serialize
with open("data.json") as f:
data = json.load(f) # read file
with open("out.json", "w") as f:
json.dump(data, f, indent=2) # write file
HTTP Request
import requests
# GET
r = requests.get("https://api.example.com/data")
r.status_code # 200
data = r.json() # parse JSON
# POST
r = requests.post(url, json={"key": "val"})
Dasar pandas
import pandas as pd
df = pd.read_csv("data.csv")
df.head() # first 5 rows
df.shape # (rows, cols)
df["name"] # single column
df[df["age"] > 20] # filter rows
Built-in Berguna
| print() | Output ke konsol |
| len() | Panjang / jumlah |
| type() | Tipe objek |
| range() | Urutan angka |
| enumerate() | Pasangan index + value |
| zip() | Pasangkan item dari beberapa iterable |
| sorted() | Kembalikan salinan terurut |
| sum() min() max() | Fungsi agregat |
Modul
import math
from math import sqrt, pi
import pandas as pd # alias