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

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...

Step by Step Tutorial - Python

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

Creating a Media Player in Python: Using Tkinter and Pygame to Control and Play MP3 and MP4 files

Creating a Media Player in Python: Using Tkinter and Pygame to Control and Play MP3 and MP4 files A media player program in Python using the Tkinter library for the GUI and the Pygame library for playing audio and video files:  Import statements: The program first imports the required libraries - tkinter as tk, filedialog, and messagebox from tkinter, and pygame. GUI setup: The Tk() method is used to create the main window of the application, and its title and dimensions are set using the title() and geometry() methods. Pygame initialization: The Pygame library is initialized using the pygame.init() method. Function definitions: The program defines several functions that perform different actions in the media player, such as browse_file() which opens a file dialog to select a file, play_file() which plays the selected file using Pygame's mixer module, pause_file() which pauses the playing file, resume_file() which resumes the playing file, stop_file() which stops the playing file, ...

Unleashing the Power of ChatGPT plugins

Unleashing the Power of ChatGPT plugins ChatGPT, an OpenAI-trained large language model, has been making waves in the world of artificial intelligence and conversational agents. ChatGPT has become even more powerful and versatile with the release of GPT-4 and additional third-party plugins. The addition of ChatGPT extensions is an exciting advancement in ChatGPT's capabilities. These extensions enable even more customization and flexibility in the use of the language model for a variety of purposes. ChatGPT extensions allow users to extend the base model's capabilities by adding functionality and features. ChatGPT extensions have limitless potential. They can be used for anything from language translation to natural language processing to chatbot development and game development. Customer service can also benefit from ChatGPT extensions. ChatGPT extensions can also be used to enhance customer service and support, automate time-consuming tasks, and even aid in research and data ...

The Power of Natural Language Processing in Finance

The Power of Natural Language Processing in Finance In today's world, data is everywhere, and the amount of information generated every day is growing exponentially. Financial institutions have access to vast amounts of data, and making sense of it can be a challenging task. This is where Natural Language Processing (NLP) comes in. NLP is a field of Artificial Intelligence (AI) that focuses on the interaction between computers and human language. In finance, NLP can help extract valuable insights from large amounts of data and improve decision making. In this article, we will explore the power of NLP in finance and how it can be used to drive better outcomes. NLP and Finance NLP can be used in several ways in finance, including: Sentiment Analysis : NLP can be used to analyze news articles, social media posts, and customer feedback to determine the sentiment and identify trends in the market. By understanding customer sentiment, financial institutions can make more informed decisio...