Skip to main content

Python Tutorial - Basics

Python is used across different organizations and utilized for multiple projects across the world. It's very easy to learn, maintain, and update. It is open-source, available for free, and supports multiple projects as well. It can be used for scripting in the background, creating wonderful programs, and also can be used for processing complex items like Natural Language Processing, Medical Image Processing, or even more complex items. 

Python Logo

The good thing about Python is easy to Learn. Effective to use, and moreover less number of lines of code. It's just like writing it in plain English and less number of brackets but uses the power of the indentation.  

This post will have some steps, to begin with. like installing, IDE setup, printing, reading the inputs, and variables declaration. 

Installation:

To install python, go to the official website and download it on your computer. You can install it on any operating system. If you prefer to run online IDE, there are so many good websites available.

I personally prefer, https://colab.research.google.com/. They provide free GPU and TPU features, which will be used for processing huge data in a short time. We will discuss this in feature posts. 

There are so many IDEs available for Python execution, including the official IDE from python. Spyder, Jupyter Notebook, and PyCharm are some of the famous IDEs which is supported in multiple operating systems.

MS Visual studio code and Notepad++ are also used by some developers. 

For beginners and basic usage, I would recommend using the python IDE that comes by default. Once you understand the basics, then you can try out plenty of options available for free and select your own. 

I am going to use MS Visual studio code later in the posts since it has the GitHub Pilot option and Git Integration. 

Printing:

To print something, we can use the simple command "print".

print ("Hello World!")

Print Hello World in Python

If you are going to use MS Visual studio code, then it will look like this,


print ("Hello World!")


Popular posts from this blog

Step by Step Tutorial - Python

 We have uploaded our course material for Python on Github. https://github.com/SiriSarah/Python

Now on Google News!

We have some exciting news to share with you!  Our website is now listed on Google News, which means that our content will reach a wider audience and more potential customers.  Google News Logo Google News is a platform that aggregates news from various sources and displays them according to the user's preferences and interests. Being listed on Google News is a great achievement for us, as it shows that our website meets the high standards of quality and relevance that Google requires. We are proud of our work and we hope that you will enjoy reading our articles and finding out more about our products and services.  Siri Sarah LLC on Google News If you haven't already, you can subscribe to our website on Google News by following these simple steps: - Open the Google News app on your device or go to news.google.com on your browser. - Search for our website name in the search bar. - Tap or click on the "Follow" button next to our website logo. That's it! You will no...

Python Tutorial Chapter #2: Basic Data Types

In Python, there are several built-in data types that you can use to store and manipulate data. In this tutorial, we will cover the following data types: Python Tutorial Chapter #2: Basic Data Types Integers: Integers are whole numbers that can be positive, negative, or zero. In Python, you can create an integer by assigning an integer value to a variable. For example: Floats: Floats are numbers with decimal points. In Python, you can create a float by assigning a float value to a variable. For example: Strings: Strings are sequences of characters. In Python, you can create a string by enclosing a sequence of characters in quotation marks. You can use single quotes or double quotes, but you must use the same type of quotes to start and end the string. For example: Lists: Lists are ordered collections of items. In Python, you can create a list by enclosing a comma-separated list of items in square brackets. Lists can contain items of any data type, and the items do not have to be of the...

Risks of AI-generated Code: Google's Bard, Amazon Whisperer, and the Challenges with their New Features

Artificial intelligence (AI) has advanced so much in recent days that it is now used in various applications. Machine learning is used to teach AI systems how to learn on their own, and they are used in various industries such as healthcare, finance, and e-commerce. AI has revolutionized the way we interact with technology, and companies such as Google and Amazon have been at the forefront of AI research and development. However, with every new feature and advancement, there are bound to be issues and challenges that come with it. Google's Bard and Amazon Whisperer are two examples of AI language models that have been introduced in recent years, but they have faced some issues with their new code feature. Google's Bard Google's Bard is a language model that is designed to help people write poetry. It uses machine learning algorithms to generate verses based on the style and theme of the poem. Bard was introduced in 2021 and has since gained popularity among poetry enthusias...

Python Interview Questions: Python Cache

Python Interview Questions: Python Cache  Can you explain how you would use decorators in Python to add caching functionality to a specific function in a large application, and how you would handle cache invalidation? Yes, I can explain how to use decorators in Python to add caching functionality to a specific function in a large application and how to handle cache invalidation. First, I would create a decorator function called "cache" that takes in the function to be decorated as an argument. Inside the decorator function, I would define a dictionary to store the function's results, with the function's arguments as the keys and the results as the values. Next, I would create a nested function called "wrapper" which would check if the function's arguments existed in the dictionary. If they do, it will return the cached result. If they don't, it would call the original function, store the result in the dictionary, and then return the result. The decor...