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Python Ternary Operator (Conditional Expression): How to Write if-else in One Line
In programming, we frequently encounter situations where we want to change the value assigned to a variable based on a specific condition. Usually, we use if and else statements, but Python provides a syntax to write this concisely in a ... -
Python Conditional Branching: Multiple Conditions with if, elif, and else
When creating a program, you often need branching logic like "If A, execute Process 1; otherwise, if B, execute Process 2; otherwise, execute Process 3." In Python, you can handle such complex conditional branches by combining if stateme... -
Truth Value Testing in Python: True/False Evaluation Rules for Each Data Type
In Python's if and while statements, you can evaluate not only the bool type (True/False) but also any object such as numbers, strings, and lists. Python has a basic rule: "Empty objects or zero are regarded as False, and everything else... -
Introduction to Python if Statements: Writing Conditionals and Indentation Rules
In programming, we frequently encounter situations where we want to execute code only if a specific condition is met. For example, "Add an item to the cart only if it is in stock" or "Display 'Pass' only if the score exceeds the passing ... -
Introduction to Python’s bytes Type: Creating and Handling Binary Data
In Python, the string type (str) handles Unicode characters. However, when dealing with image files, audio data, or network communication packets, you need raw binary data. The bytes type is used to represent this binary data. The bytes ... -
Deleting Elements from Python Dictionaries: How to Use del, pop(), and clear()
Python dictionaries (dict) provide several methods for removing unneeded data. You need to select the appropriate method depending on your goal: deleting a specific key, deleting and reusing a value, or resetting the entire dictionary. T... -
Checking Existence in Python Dictionaries: Using the in Operator for Keys, Values, and Pairs
When using Python dictionaries (dict), you frequently need to determine if a specific key is registered or if a specific value exists. For example, you might want to check if a specific setting exists in a configuration file or if a spec... -
Getting All Elements from a Python Dictionary: Usage of keys(), values(), items(), and List Conversion
When you want to access all data stored in a Python dictionary (dict), you might need a list of just the keys, want to aggregate just the values, or process keys and values as a set. Python provides three standard methods for these purpo... -
Adding and Updating Elements in Python Dictionaries: Assignment by Key
Python dictionaries (dict) are "mutable" (changeable) objects. This means you can add new key-value pairs or change values associated with existing keys even after the dictionary is created. An interesting point is that Python uses the e... -
Getting Values from Python Dictionaries: Using [] vs .get()
To use data stored in a Python dictionary (dict), you need to retrieve the "Value" by specifying the corresponding "Key". There are two main ways to do this: the basic method using square brackets [], and the safer method using the .get(... -
Creating Python Dictionaries (dict): 3 Basic Methods using {} and dict()
The Python Dictionary (dict) is a very important data type that stores data in Key-Value pairs. You use it to associate a value like "Tanaka" with a key like "name", or a value 101 with a key "id". While lists manage data using indices (... -
Python Set Operations: How to Use union, intersection, and difference
Python's set type does not just store unique elements; it also provides powerful methods for Set Operations (Logical Operations), just like in mathematics. Union: All elements from both sets (no duplicates). Intersection: Elements common... -
Checking if an Element Exists in a Python Set (Using the in Operator)
Besides not allowing duplicate elements, Python's set has another very important advantage: it can very quickly check if a specific element exists in the set. While lists can do the same thing, sets are overwhelmingly faster at checking ... -
Removing Elements from a Python Set: Differences Between remove, discard, and clear
Python sets are "mutable," meaning you can freely delete elements even after creating the set. There are several ways to delete elements, but it is important to understand the difference between .remove() and .discard(). There is also .c... -
Adding Elements to Python Sets: How to Use the .add() Method
Python's set is a "mutable" (changeable) data type, meaning you can add or remove elements even after creating it. Unlike lists, which use .append(), sets use the .add() method to add elements. This article explains the basic usage of th... -
Python Sets (set): Removing Duplicates and Basic Creation
In addition to lists and tuples, Python has a collection type called Set (set) for handling groups of data. Based on the mathematical concept of sets, the set type has two very important characteristics: No Duplicate Elements: If you try... -
Python’s range() Function: How to Generate Consecutive Number Sequences
When programming in Python, we often encounter situations where we want to run a for loop "only 5 times" or get "consecutive numbers from 10 to 20". This is where the range() function comes in. range() is not a list itself, but an object... -
How to Swap Variables in Python: Multiple Assignment Without Temporary Variables
In programming, there are times when you want to swap the values stored in two variables. For example, when implementing sorting algorithms. Traditional Method (Using a Temporary Variable) In many programming languages, you need a third ... -
Unpacking in Python: How to Assign List and Tuple Elements to Variables
When handling lists or tuples in Python, you often want to extract their elements into individual variables. For example, handling coordinate data usually involves accessing indices like this: point = (100.5, 35.2) # Normal index referen... -
Tuple Operations in Python: Indexing, Slicing, and Getting Length
Python tuples are an "immutable" data type, meaning you cannot change their contents once created. However, just because you cannot "change" them doesn't mean you can't use them. Just like lists, you can freely "access" elements, "slice"... -
What is a Python Tuple? Basic Usage and Differences from Lists
Python has several data types for managing collections of data. Among them, the tuple is very similar to a list, but there is one decisive difference. That is, tuples are "immutable" (unchangeable), meaning their contents cannot be chang... -
Python Lists: How to Find Element Position with .index()
When working with Python lists, you often need to know "where (at which index) a specific element is located." For example, checking "what number in the list corresponds to the 'admin' permission." For such searches, use the list's .inde... -
Deleting Elements from Python Lists: Differences and Usage of del, remove, and pop
Since Python lists are mutable (changeable), you can delete elements you no longer need. There are three main ways to delete elements. You need to choose the right one based on "which element you want to delete" (by position or value) an... -
Adding Elements to Python Lists: Using append() vs. insert()
Since Python lists are mutable (changeable), you can freely add or insert elements even after creating them. There are two basic methods for adding elements: append() and insert(). While they are similar, the difference lies in where the... -
How to Use the len() Function to Count Elements in a Python List
When working with lists in Python, you often need to know how many data items (elements) are stored in the list. For example, you might need to know how many times to run a for loop, or check if a list is empty (has 0 elements). Python p... -
Python Nested Lists: How to Create, Access, and Update
Python lists can contain not only numbers and strings but also other lists as elements. This structure, where a list is inside another list, is called a "Nested List". Nested lists are very useful for representing 2-dimensional grids (ma... -
How to Update Python List Elements: Assignment by Index
Python lists are a "mutable" (changeable) data type. This means that even after creating a list, you can freely change the values of its contents (elements). This operation is essential when updating the status of data retrieved from a d... -
Python Slicing Syntax: Master List Extraction with [start:stop:step]
Python lists are a powerful data type for storing ordered data. While you can access a single element using [0], Python also allows you to extract a range of elements to create a new list, such as "from the 1st to the 3rd element." This ... -
Creating Python Lists (list): Basic Usage of [] and list()
The list in Python is a very powerful and flexible data type that allows you to store multiple pieces of data in a specific order. Each piece of data (element) stored in a list can be changed, added, or deleted later (this property is ca... -
Python Raw Strings (r”…”): How to Disable Backslash Escapes
When handling strings in Python, the backslash (\) has a special meaning as an "escape sequence." For example, \n is interpreted as a newline, and \t as a tab. While this feature is useful, it becomes inconvenient when you want to treat ...
