Setting Up Jupyter Notebook

Launch Jupyter through a terminal session. Before starting, create and activate a dedicated Conda environment:

conda create -n myenv python=3.10
conda activate myenv
jupyter notebook

Python Syntax Essentials

Multiple statements can be placed on one line by separating them with a semicolon:

print('hello'); print('world')

Indentation defines code blocks. The standard is to use a consistent number of spaces at the beginning of a line.

Line continuation is achieved with a backslash \ outside of brackets:

calculation = value_a + \
              value_b + \
              value_c

Inside [], {}, or (), no backslash is needed for multi-line constructions:

week_days = ['Monday', 'Tuesday', 'Wednesday',
             'Thursday', 'Friday']

String Literals

single_word = 'word'
whole_sentence = "This is a sentence."
multiple_lines = """This is a paragraph.
It spans multiple lines."""

Comments

Use # for a single line, and triple quotes ''' or """ for multi-line doucmentation strings.

Printing Without a Newline

print first_item,
print second_item,

In Python 3, the end argument suppresses the newline:

print('item', end=' ')
print('next', end=' ')

Conditionals

if condition_a:
    suite
elif condition_b:
    suite
else:
    suite

Core Data Structures

Strings

Slicing follows [start:end:step]. Positive indices move left to right; negative indices move right to left.

text = "adada"
segment = text[1:4]   # 'dad'
reverse_segment = text[-1:-4:-1]  # 'ada'
doubled = text * 2    # 'adadaadada'

Lists

Created with square brackets. Lists are mutable and support slicing.

example_list = [1, 'two', 3.0]

Tuples

Created with parentheses. Tuples are immutable; elements cannot be reassigned.

example_tuple = (10, 20, 30)

Dictionaries

Created with curly braces and hold key-value pairs.

# -*- coding: UTF-8 -*-
my_dict = {}
my_dict['one'] = "This is one"
my_dict[2] = "This is two"

tiny = {'name': 'runoob', 'code': 6734, 'dept': 'sales'}

print(my_dict['one'])
print(my_dict[2])
print(tiny)
print(tiny.keys())
print(tiny.values())

Output:

This is one
This is two
{'dept': 'sales', 'code': 6734, 'name': 'runoob'}
['dept', 'code', 'name']
['sales', 6734, 'runoob']

Operators

• ** performs exponentiation. 3 ** 2 yields 9.
• // performs floor division. 9 // 2 yields 4.

Identity Operators

is checks if two names point to the exact same object (same memory location).

if a is b:
    print("They share the same memory space")

is not verifies that two names reference different objects.