Chay published on included in Git If there is no remote repository added like github or gitlab or bit bucket, when you run git log --oneline it shows only (HEAD -> master). But if you add a remote repository, it shows like (HEAD -> master, origin/master). When you have modified different files on remote repo and local repo(one file on online repo and a different file on your local repo, not same file at both places), you have to first fetch and pull on local repo, and then push your locally modified file to online repo.
Python is a versatile and widely-used programming language known for its simplicity and readability. One of the fundamental aspects of programming in Python is understanding and effectively using data types. Data types define the kind of values a variable can hold, and they play a crucial role in performing various operations and manipulating data. In this article, we will explore the most common Python data types in depth, along with illustrative examples.
Working with Directories in Python Directories, also known as folders, are an essential part of organizing and managing files on a computer. In Python, there are built-in modules and functions that allow you to work with directories efficiently. This article will guide you through various operations involving directories, including creating, accessing, listing, renaming, and deleting directories, along with multiple code examples for each.
Creating Directories To create a directory in Python, you can use the os module, which provides a cross-platform way of interacting with the operating system.
Opening, Reading, Writing, and Closing Files in Python File handling is an essential aspect of programming, allowing us to work with data stored in files. In Python, there are several built-in functions and methods that enable us to open, read, write, and close files efficiently. In this article, we will explore these operations and provide examples to demonstrate their usage.
Opening a File Before performing any operations on a file, we need to open it using the open() function.
Introduction In today’s fast-paced technological landscape, automation has become a key driver of efficiency and productivity. Automating manual processes in the field of Information Technology (IT) not only saves time and resources but also reduces the risk of human error and enables teams to focus on higher-value tasks. However, not all processes warrant automation. This article will delve into the factors that should be considered when deciding whether to automate a manual process in IT.
Dictionaries in Python: An In-depth Guide Dictionaries in Python are an essential data structure that allows you to store and retrieve data using key-value pairs. Unlike sequences such as lists or tuples, dictionaries are unordered and use keys instead of indices to access values. In this article, we’ll explore the concept of dictionaries in Python, their properties, methods, and various use cases with detailed examples.
Creating a Dictionary To create a dictionary in Python, you can use curly braces {} or the dict() constructor.
Lists in Python In Python, a list is an ordered collection of items, where each item can be of any data type. Lists are mutable, which means you can modify their contents. They are defined by enclosing the items in square brackets [ ] and separating them with commas. Here are some examples and detailed explanations of working with Python lists:
Creating a List:
1 fruits = ['apple', 'banana', 'cherry'] In this example, we created a list called fruits with three items: 'apple', 'banana', and 'cherry'.
Introduction Python, a powerful and versatile programming language, provides developers with a rich set of tools to work with strings. Strings are sequences of characters, such as letters, numbers, and symbols, enclosed within quotes. Understanding the intricacies of Python strings is essential for effective data manipulation, text processing, and formatting. In this article, we will delve into the world of Python strings, exploring various string operations, methods, and formatting techniques, accompanied by detailed examples.
Introduction Python, a powerful and versatile programming language, provides developers with a rich set of tools to work with strings. Strings are sequences of characters, such as letters, numbers, and symbols, enclosed within quotes. Understanding the intricacies of Python strings is essential for effective data manipulation, text processing, and formatting. In this article, we will delve into the world of Python strings, exploring various string operations, methods, and formatting techniques, accompanied by detailed examples.
Python End parameter In Python, the end parameter is an optional parameter used with the print() function. It specifies the string that will be printed at the end of the output. By default, the end parameter is set to '\n', which means that a newline character will be printed at the end of the output.
Here’s an example to illustrate its usage:
1 2 print("Hello", end=" ") print("world", end="!") Output:
