Python Editor

Basic Syntax

Variables

name = "Alice"
age = 25
price = 19.99

No type declaration needed

Comments

# Single line comment
"""Multi-line
   comment"""

Print Output

print("Hello!")
print(f"Age: {age}")

Use f-strings for formatting

Data Types

Lists (mutable)

fruits = ["apple", "banana"]
fruits.append("orange")
fruits[0]  # Access by index

Dictionaries

person = {"name": "Bob", "age": 30}
person["city"] = "NYC"
person.get("name")

Tuples (immutable)

coords = (10, 20)
x, y = coords  # Unpacking

Control Flow

If Statements

if score >= 90:
    print("A")
elif score >= 80:
    print("B")
else:
    print("C")

For Loops

for i in range(5):
    print(i)

for item in my_list:
    print(item)

While Loops

count = 0
while count < 5:
    print(count)
    count += 1

Functions

Basic Function

def greet(name):
    return f"Hello, {name}!"

result = greet("Alice")

Default Parameters

def power(base, exp=2):
    return base ** exp

power(3)     # 9
power(3, 3)  # 27

String Methods

Common Operations

text = "  Hello World  "
text.strip()      # Remove whitespace
text.lower()      # Lowercase
text.upper()      # Uppercase
text.split()      # Split into list
"_".join(words)   # Join list

String Formatting

name = "Alice"
age = 25
f"Name: {name}, Age: {age}"
"Name: {}, Age: {}".format(name, age)

List Methods

Common Operations

nums = [3, 1, 4, 1, 5]
nums.append(9)    # Add to end
nums.insert(0, 2) # Insert at index
nums.remove(1)    # Remove first 1
nums.pop()        # Remove last
nums.sort()       # Sort in place
len(nums)         # Length

List Comprehension

squares = [x**2 for x in range(10)]
evens = [x for x in nums if x % 2 == 0]

Powerful one-liner for transforming lists

NumPy Basics

Create Arrays

import numpy as np
arr = np.array([1, 2, 3])
zeros = np.zeros((3, 3))
ones = np.ones((2, 4))
range_arr = np.arange(0, 10, 2)

Array Operations

arr.mean()    # Average
arr.sum()     # Sum
arr.max()     # Maximum
arr.min()     # Minimum
arr.std()     # Standard deviation
arr.shape     # Dimensions

Pandas Basics

Create DataFrame

import pandas as pd
df = pd.DataFrame({
    'name': ['Alice', 'Bob'],
    'age': [25, 30]
})

Read Data

df = pd.read_csv('data.csv')
df.head()     # First 5 rows
df.info()     # Column info
df.describe() # Statistics

Select Data

df['column']          # Select column
df[['col1', 'col2']]  # Multiple columns
df[df['age'] > 25]    # Filter rows
df.loc[0]             # Row by label
df.iloc[0]            # Row by position

Matplotlib Basics

Basic Plot

import matplotlib.pyplot as plt
plt.plot(x, y)
plt.title('My Plot')
plt.xlabel('X axis')
plt.ylabel('Y axis')
plt.show()

Common Plots

plt.scatter(x, y)     # Scatter
plt.bar(labels, values) # Bar
plt.hist(data)        # Histogram
plt.boxplot(data)     # Box plot

PyBench Shortcuts

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Tab              Indent
Backspace         Smart unindent

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