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Time Complexity of Basic functions in Python

When working on programs that deal with large amounts of data, optimization becomes very important. The slightest change in the implementation of any workflow could drastically affect the time required by the program. To calculate the time taken to run a program, we need to know the time complexity of algorithms and functions that we are using in the program.  Here let's have a look at the time complexities of some commonly used functions in Python which are li sort() 'in' or 'obj.__contains__(ele) Retrieving an element present at a given index. Time Complexity of Sort() function: Python implements Timsort in its sort() function. Timsort is a hybrid of Insertion Sort and Merge sort which proves to be more efficient in real-life scenarios. It basically utilizes the efficiency of Insertion sort on smaller lists by Breaking down a huge list into smaller parts  Performing Insertion sort on the smaller parts and Performing merge sort on those sorted parts.
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String formatting in Python

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Strings are simple! We can just enclose whatever we want into quotes and it becomes a string. But things get complex when we want to create complex strings that may contain many escape characters and variables. In such cases, Python's String formatting functions come to our help. Let us consider an example of a string concatenated with variables name = 'Aaron' city = 'Chennai' s = 'Hey ' + name + ', ' + city + ' Welcomes you' print(s)  Output: Hey Aaron, Chennai Welcomes you Here in Line 3, we have joined various bits of strings and variables using the '+' operator to get the desired output. But this method is so complex and can lead to mistakes. Instead of hardwiring each part of the string, we can use string formatting methods to format our strings effectively the way we want. 1. The str.format() method: This method of formatting strings is more simple than the previous method. In this method, we define the place
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Setting up/Installing Python

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Setting up Python is the first thing one should do when learning python. The installation process differs for different operating systems. In this post, We will be looking at Installing Python for every operating system in detail. To create and run any Python program, we need two things  A/Any text editor to write and edit programs(even notepad is enough and can do the job).  The Python Interpreter to execute the programs. We are going to install Python Interpreter first. Note that Python Interpreter comes with its own text editor as a bundled package. So we don't have to worry about text editor. A text editor tailored specifically for a particular programming language combined with its Compiler/Interpreter and all the necessary tools required by a developer is known as Integrated Development Environment(IDE). Installing Python in Windows: Follow the below steps to install Python Interpreter in windows  Go to Python's official website's download section.
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