Python Programming tutorials with examples

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Python is an incredibly versatile and powerful programming language known for its simplicity and readability. As an interpreted, high-level language, Python supports multiple programming paradigms, including procedural, object-oriented, and functional programming.

Guido van Rossum known as the creator of the Python programming language.

Python is a case-sensitive language

Python Usage Across Different Domains

Python is widely used in various fields, but its dominance varies. Below is a comparison of where Python is the first choice and where other languages are preferred.

Domain	First Choice Language(s)	Python's Position	Reason
Machine Learning & AI	Python	First Choice	Strong ecosystem (TensorFlow, PyTorch)
Web Development	PHP, Ruby, JavaScript	Can do the same	Django & Flask are good, but JavaScript is dominant
Data Science & Analytics	Python	First Choice	Rich libraries (Pandas, SciPy)
System Programming & OS	C, C++	Not Preferred	Python is interpreted and slow for OS development
Game Development	C++, C#	Can do the same	Used for scripting, but lacks performance for AAA games
Cybersecurity & Ethical Hacking	Python	First Choice	Extensive libraries for security testing
Embedded Systems & IoT	C, C++	Can do the same	Used via MicroPython, but C/C++ dominate
Automation & Scripting	Python	First Choice	Simple syntax & automation libraries
Cloud Computing & DevOps	Python, Go	First Choice	Used for cloud automation & DevOps tools
Mobile App Development	Kotlin, Swift	Can do the same	Limited native UI support, but frameworks exist
High-Performance Computing	C, Fortran	Can do the same	Used in scientific computing, but C/Fortran are faster
Blockchain Development	Solidity, Rust	Can do the same	Python can be used, but Solidity is standard for Ethereum

Python Basics : Usage Across Different Domains

Interpreted vs. Compiled Languages: Key Differences

Learn how interpreted languages execute code line-by-line, while compiled languages translate the entire code before execution for better performance. 🚀

An interpreted language executes code line-by-line at runtime without requiring prior compilation, This makes debugging easier but can lead to slower execution. Examples include Python, JavaScript, PHP, and Ruby.

A compiled language, A compiled language, converts the entire source code into machine code before execution, leading to faster performance but requiring a compilation step. Examples include C, C++, and Java (which compiles to bytecode for the JVM).

Interpreted vs. Compiled Languages : Is Python Compiled or Interpreted?

Dive into our tutorials, tips, and guides, and join the millions of developers worldwide who are building the future with Python.

indentation matters

Block of codes are maintained by using same indent. Line of codes within a particular loop or if condition is maintained within the same indent. Nested loops also maintain the similar indenting condition.

Integrated Development Environments (IDEs)

Dive into our comprehensive guide on Integrated Development Environments (IDEs) for Python, tailored for both beginners and seasoned developers. This page offers an in-depth look at how the right IDE can enhance your coding efficiency, streamline your workflow, and transform your programming experience. Whether you're writing your first line of Python code or working on complex projects, find the perfect IDE to suit your needs and elevate your coding journey.

Explore the Best Python IDEs for Your Development Journey

Python Version

import sys
print(sys.version)

Output ( may change based on installation )

3.7.10 (default, Feb 20 2021, 21:17:23)

Using Command Line interface ( type cmd in search or type cmd in Run box )

python --version

Python Basics

comments	Single line or multiline comments
date	Date functions
Docstrings	Documentation of Modules functions methods and class.
functions	User defined function with Parameters handling
File handling	Methods for file handling
Class & Object	Object Oriented Programming in Python
generator	creating iterator in python
iterator	iterable object by using iter() in python
math	Math functions
mutable	Mutable and Immutable objects
random	Generating random integer and float numbers between a range
String	String methods and applications
Sample Codes	Sample codes in python
try catch	Handling error in Python
variable	How to declare and rules
Reserved Words	List of reserved words and how to check

Learn Python basics through ONLINE classes

Python libraries

Its extensive standard library, combined with comprehensive third-party modules, allows for the development of applications ranging from web development, data analysis, artificial intelligence, scientific computing, and more.

Installed libraries

Display a list of installed libraries available with Python. ( Try it in Colab also. )

%pip freeze

In windows use like this at your command prompt.

C:\Users>python -m pip freeze

Unix MacOS

$ python -m pip freeze

Download the above full source code from Github or run the code in your Google colab platform.

Questions and Solutions
https://github.com/plus2net/Python-basics/blob/main/online_class_M1_1_intro.ipynb

I've been working with the Python Tkinter library, and it's quite fascinating. It enables me to easily build graphical user interfaces (GUIs) for my applications. I find the process of adding buttons, labels, and other widgets quite intuitive with Tkinter. The library's support for handling user interactions seamlessly is something I particularly appreciate. As I continue exploring, I see how Tkinter makes my GUI projects not just functional but also visually appealing. It's becoming an essential part of my programming toolkit for creating user-friendly interfaces.

Transform Your Python Projects with Tkinter GUIs

calendar	Calendar Module
IP	IP address and host name in Python
ipywidgets	Interactive Widgets in Google Colab
Json	Json methods to manage Json data formatting
os	operating system interfaces
tkinter	Python GUI Module module
Turtle	Draw graphics in Python
tuple	Ordered unchangeable items list
Django	Python web framework
Pickle	Pickle or Un-pickle Python objects
Pillow	Python Imageing Library : PIL
Numpy	scientific computing using Numpy
Pythrends	Un offical google API to get data from Google Trends
PDF	Create PDF files with shapes and tables.
threading	Run multiple tasks concurrently
xlsxwriter, openpyxl	Managing Excel file

Database Management using Python

MySQL	Python functions to manage MySQL database
SQLite	Python functions to manage SQLite database

Operators

Operators	All Python Operators

Installing Python

IIS cgi	Python through IIS CGI

Pygsheets

Pandas

Python data analysis tool

online class	Join our online class through google meet

By using BeautifulSoup we can parse HTML or XML documents and get the required tags or contents

tensorflow	tensorflow basics
matplotlib	matplotlib library to draw graphs
BeautifulSoup	matplotlib library to draw graphs

CBSE Python

High School Python ( part of Syllabus)
CBSE Python syllabus with link to solutions are here.

IPython

IPython (Interactive Python) is an enhanced interactive shell that builds upon the default Python interactive shell. It provides advanced features for interactive computing in Python, including but not limited to:

A rich toolkit for interactive data visualization and use of GUI toolkits.
Easy-to-use, high-performance tools for parallel computing.
Comprehensive introspection, the capability to access the underlying Python objects with ease.
Improved readability of code outputs with syntax highlighting.
A browser-based notebook interface via Jupyter Notebooks, which supports code, text, mathematical expressions, inline plots, and other rich media.
Magic commands (special commands prefixed with % or %% that are designed to solve common problems in standard data analysis).

Difference Between IPython and Python

Interface and Features: Python's standard shell is simpler and primarily focused on executing Python commands. IPython, on the other hand, offers a rich set of interactive features designed to enhance user productivity in data science and other computational tasks.
Target Audience: While Python serves programmers across all domains, IPython is particularly beneficial for scientists, researchers, and data analysts due to its powerful interactive features that facilitate exploration and testing.
Integration with Jupyter: IPython integrates with Jupyter Notebooks, providing an interactive web-based interface that combines executable code, rich text, equations, and visualizations in a single document.
Extension and Customization: IPython allows for a higher degree of customization and extension, with support for profiles, plugins, and magic commands, making it adaptable to a wide range of workflows.
Use Cases: Python can be used for scripting, web development, app development, and more. IPython, while capable of similar tasks, shines in interactive computing, exploratory data analysis, and scientific research.

In summary, IPython is not a different language but an enhanced interactive shell and set of tools that provide additional functionalities on top of Python, aimed at making the interactive Python experience more productive and enjoyable, especially for data-intensive and scientific computing tasks.

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Podcast on Python Basics in Hindi Language

Subhendu Mohapatra

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Passionate about coding and teaching, I publish practical tutorials on PHP, Python, JavaScript, SQL, and web development. My goal is to make learning simple, engaging, and project‑oriented with real examples and source code.

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	29-07-2022
-2 I have created small hotel management system using Python and Sqlite3. Before I convert it to Python exe, everything is fine. Whenever I close the program and reopen it again, I see everything I inserted into it. But when I convert it to Python exe using Pyinstaller, an error arises. Everything I inserted into my Python exe file gets lost when I close the app and reopen it. Please I appreciate your help.

	05-08-2022
The supporting files should be created in one directory. Try to keep all supporting files in one location and then create the .exe

Welcome to the Python Programming