1. What is an API? 2. How to Use APIs in Python? 3. Sending Requests to an API 4. Parsing the Response 5. Authenticating with an API By following these steps, you can harness the power of APIs to access data and services across the web, opening up a world of possibilities for your Python […]
Tag: python
Difference Between sort() and sorted() in Python
Python provides two ways to sort elements in an iterable: sort() and sorted(). They differ in how they work and their impact on the original data structure. 1. Mutability sort(): Modifies the original list in-place and does not return a new list. sorted(): Returns a new sorted list without modifying the original iterable. 2. Return […]
Reverse a List in Python: reverse() vs. reversed()
Python provides two common ways to reverse a list: Each has its own advantages depending on the use case. 1. reverse() Method (In-Place Reversal) Example: ✔️ Use reverse() when you want to modify a list without creating a new list. 2. reversed() Function (Returns an Iterator) Example: ✔️ Use reversed() when you need a new […]
Guide to Understanding URL Structure for API Usage
URLs (Uniform Resource Locators) are essential components when working with APIs (Application Programming Interfaces). APIs allow you to interact with web services and retrieve or send data programmatically. Understanding the structure of URLs is crucial for effectively utilizing APIs, including passing keys and other parameters. In this guide, we will break down the components of […]
How to Safeguard Your API Keys in Your Code
Why You Should Keep API Keys Separate:API keys are sensitive pieces of information that grant access to various services and data. Keeping them separate from your code is crucial for security and maintainability. If API keys are embedded directly in your code, they can be exposed if the code is shared publicly or accessed by […]
Abstraction in Python Classes
Introduction: Abstraction is an important concept in object-oriented programming that allows you to hide the internal details of a class and expose only the relevant information to the outside world. In Python, abstraction is achieved using abstract classes and abstract methods. In this tutorial, we will explore abstraction in Python classes and provide examples to […]
Mastering Functional Programming in Python with map, filter, and reduce Functions
Introduction Python provides three built-in functions for functional programming: map, filter, and reduce. These functions are useful for applying a function to every element in a sequence, filtering elements that meet a certain condition, and combining a sequence of values into a single value, respectively. Map The map function applies a given function to each […]
Mastering Regular Expressions in Python: A Comprehensive Tutorial
A regular expression is a sequence of characters that defines a search pattern. They are widely used in programming for searching, replacing, and validating text. Regular expressions can be used in many programming languages, including Python. In Python, we can use the re module to work with regular expressions. The re module provides several functions […]
A Beginner’s Guide to List Comprehension in Python
List comprehension is a concise and efficient way to create lists in Python. It allows you to iterate over an existing sequence (such as a list) and apply an expression to each item in a single line. Syntax Example 1: Creating a List of Squares Using a for loop: Using list comprehension: List comprehension reduces […]
Introduction to Lambda Functions
A lambda function is a small, anonymous function that can take any number of arguments but can only have one expression. Syntax: Example: In the above example, we have created a lambda function named ‘add’ which takes two arguments ‘x’ and ‘y’ and returns their sum. Lambda functions are often used as arguments to higher-order […]