Python is a versatile programming language that not only excels in data analysis, web development, and scripting but also provides the ability to interact directly with the operating system. One of the powerful features of Python is its capability to execute shell or Linux commands directly from within a Python script. This functionality can be very useful for automating system tasks, managing files, or integrating Python with other tools. In this article, we’ll explore various methods for executing shell/Linux commands in Python.
Tag: python basic concepts
Python | Convert .py file into .pyc file
Python, known for its simplicity and readability, allows developers to write code in .py files. These files contain the human-readable source code that is executed by the Python interpreter. However, Python also uses .pyc files, which contain the compiled bytecode. Converting .py files into .pyc format can enhance performance and provide basic code protection. This article will guide you through the process of converting .py files into .pyc files.
Python | Difference Between .py And .pyc Files?
Python is a versatile and powerful programming language that is widely used for various applications, from web development to data analysis. When working with Python, you’ll often encounter two types of files: .py and .pyc. Understanding the difference between these files and their purposes can help you better manage and optimize your Python projects. In this article, we’ll explore what .py and .pyc files are, their differences, and why .pyc files are used.
Python | map() function
Introduction: The map() is a type of higer order function which is used to apply a given function to each item of an iterable (such as a list, tuple, or set) and returns an iterator that yields the results. In this article, we’ll explore the concept of map() function in Python, explore its syntax, usage, and provide practical examples to illustrate its functionality.
Python | *args and **kwargs
In Python, *args and **kwargs are special syntax used in function definitions to accept an arbitrary number of positional arguments and keyword arguments, respectively. They provide flexibility and convenience in function design, allowing developers to create functions that can handle a variable number of inputs. In this article, we’ll explore the concept of *args and **kwargs in Python functions, explore their syntax, features, and demonstrate their usage through practical examples.
Python | Dictionary Comprehension
Python’s dictionary comprehension is an elegant way to create dictionaries from iterable objects such as lists, tuples, or even other dictionaries. It offers a simple syntax for generating dictionaries with ease and flexibility. In this article, we’ll explore the concept of dictionary comprehension in Python, explore its syntax, features, and demonstrate its usage through practical examples.
Python | List Comprehension
Introduction: List comprehension is a powerful and simple technique in Python for creating lists in a more readable way. It provides a short syntax to generate lists by applying an expression to each item in an iterable. In this article, we’ll explore the concept of list comprehension in Python, explore its syntax, features, and demonstrate its usage through practical examples.
Python | f-strings
Introduction: In the world of Python programming, string manipulation plays a crucial role in crafting readable and efficient code. Python offers various methods for string formatting, and one of the most powerful and simple approaches is using f-strings. In this article, we’ll explore the concept of f-strings in Python, explore their syntax, features, and demonstrate their usage through practical examples.
Python | raise keyword
In Python, the raise keyword plays a crucial role in exception handling. It empowers developers to explicitly raise exceptions, providing a way to indicate that an error or exceptional situation has occurred during the execution of a program. This article go into the complexity of the raise keyword, exploring its syntax, use cases, and providing examples to illustrate its importance in Python programming.
Python | Match – Case Statement
Python 3.10 introduces the match-case statement, a powerful feature inspired by pattern matching in functional programming languages. This addition enhances the readability and expressiveness of Python code, providing a concise and effective way to handle complex conditional logic. In this article, we’ll explore the match case statement in Python 3.10, explain its syntax and functionality through examples.