Multiplication Table In Python With Source Code

The Multiplication Table In Python is written in python programming language, In this tutorial you can learn on how to Display Multiplication Table In Python.

A Multiplication Table Python Program displays the multiplication table of variable num (from 1 to 10). In the program below, we have used the for loop to display the Multiplication Table Using Function of 12.

Python Multiplication Table – Project Information’s

Project Name:Python Multiplication Table
Language/s Used:Python (GUI) Based
Python version (Recommended):2.x or 3.x
Database:None
Type:Python App
Developer:IT SOURCECODE
Updates:0
How To Make a Multiplication Table

This article we have used the For Loop along with the range() function to iterate 10 times. The arguments inside the range() function are (1, 11). Meaning, greater than or equal to 1 and less than 11.

We have displayed the multiplication table of variable num (which is 12 in our case). You can change the value of num in the below program to test for other values.

To start creating a Multiplication Table In Python, make sure that you have PyCharm IDE installed in your computer.

Steps on how to create a Multiplication Table In Python With Source Code

Time needed: 5 minutes

These are the steps on how to create a Multiplication Table With Source Code

  • Step 1: Create a project name.

    First open Pycharm IDE and then create a “project name” after creating a project name click the “create” button.
    multiplication table in python project name

  • Step 2: Create a python file.

    Second after creating a project name, “right click” your project name and then click “new” after that click the “python file“.
    multiplication table in python file

  • Step 3: Name your python file.

    Third after creating a python file, Name your python file after that click “enter“.
    multiplication table in python file name

  • Step 4: The actual code.

    You are free to copy the code given below and download the full source code below.

Complete Source Code

# Multiplication table (from 1 to 10) in Python



num = 12



# To take input from the user

#int input/enter the number

# num = int(input("Display multiplication table of? "))



# Iterate 10 times from i = 1 to 10

for i in range(1, 11):

#print multiplication table

   print(num, 'x', i, '=', num*i)

Output

12 x 1 = 12
12 x 2 = 24
12 x 3 = 36
12 x 4 = 48
12 x 5 = 60
12 x 6 = 72
12 x 7 = 84
12 x 8 = 96
12 x 9 = 108
12 x 10 = 120

Downloadable Source Code

I have here the list of Best Python Project with Source code free to download for free, I hope this can help you a lot.

Summary

This simple article is written in Python programming language, Python is very smooth to research the syntax emphasizes readability and it is able to reduces time ingesting in developing.

Inquiries

If you have any questions or suggestions about Multiplication Table In Python , please feel free to leave a comment below.

Technology stack and requirements

To run this Python project on your development machine, you need:

  • Python 3.10 or higher. Download from python.org or install via Anaconda if you prefer bundled packages.
  • pip package manager. Comes with Python. Used to install project dependencies from requirements.txt.
  • Virtual environment. Use venv or conda to isolate project dependencies from your global Python install.
  • VS Code or PyCharm. Free code editors with Python syntax highlighting, IntelliSense, and debugging.
  • Git. For version control and cloning source code repositories.

Installing the source code

  1. Download or clone the repository. Get the ZIP archive from the download link on this page and extract it.
  2. Create a virtual environment. Open a terminal in the project folder and run: python -m venv venv, then activate it (venv\Scripts\activate on Windows or source venv/bin/activate on Mac/Linux).
  3. Install dependencies. Run pip install -r requirements.txt to install all libraries the project needs.
  4. Configure environment variables. If the project uses API keys (OpenAI, Anthropic, database), create a .env file and set the required keys.
  5. Run the project. Follow the run command in the README (usually python main.py or streamlit run app.py).

Using this project for your BSIT capstone

  • Chapter 1 (Introduction). Discuss the real-world problem this system solves. Cite Philippine or international use cases where the manual process could be automated.
  • Chapter 2 (RRL). Compare your project against 5-10 similar published works. Cite ACM, IEEE, or arXiv papers for academic-standard sources.
  • Chapter 3 (Methodology). Document the model architecture, training data, hyperparameters, and evaluation metrics used.
  • Chapter 4 (Results). Report accuracy, precision, recall, F1-score, and confusion matrix. Screenshot the running app on real inputs.
  • Chapter 5 (Conclusion). Identify features for Version 2: better model, larger dataset, mobile deployment, or REST API.

Modules typical of Multiplication Table

  • Core Python logic. Main functions implementing the business logic of the system.
  • Data storage. SQLite for simple projects, PostgreSQL or MongoDB for larger data.
  • User interface. Tkinter for desktop, Streamlit for data dashboards, or Flask/FastAPI for web.
  • Input validation. Type checking and range validation before processing user data.
  • Reports. CSV or PDF export using pandas.to_csv() or ReportLab.
  • Testing. pytest unit tests covering core functions.

Common enhancements for capstone review

  • Add REST API. Convert desktop app to FastAPI service for mobile or web front-ends.
  • Multi-user support. Add login, roles, and per-user data isolation.
  • Cloud deployment. Deploy to Render, Railway, or Fly.io for public access.
  • Docker containerization. Package the app in Docker for portable deployment.

Frequently Asked Questions

How does this Python project work?

Built with Python 3.10+ and either Tkinter (desktop GUI), Django (web), or Flask (lightweight web). Standard structure: main.py launches the app, modules organized by feature, SQLite/MySQL for persistence.

What Python version and libraries does this project require?

Most projects in this batch use Python 3.10, 3.11, or 3.12 (avoid 3.13 until library wheels catch up). Standard libs: tkinter (built-in), sqlite3 (built-in). External: pip install pillow opencv-python pygame mysql-connector-python reportlab requests beautifulsoup4. Check the requirements.txt file (if included) for exact versions.

How do I set up the database for this Python project?

For SQLite (most common, no setup needed): the .db file auto-creates on first run. For MySQL: install MySQL Server + MySQL Workbench, create an empty database, import the included .sql file, edit the connection string in db.py (or db_connect.py) with your host, user, password, database name.

Can I use this Python project for a BSIT capstone or thesis?

Yes. Python is rising fast in Philippine BSIT panels. Extend it: add user roles via auth module, dashboards (matplotlib charts), PDF reports (reportlab), email notifications (smtplib), real domain extension (analytics, audit log, multi-branch support). Pair with Chapter 1-5 documentation matching your panel’s rubric.

Why am I getting ‘ModuleNotFoundError’ or ‘No module named X’?

Three common Python issues: (1) Module not installed: pip install (use pip3 on macOS/Linux). (2) Wrong virtualenv: activate the project’s venv before running (python -m venv venv then venv\Scripts\activate on Windows or source venv/bin/activate on Linux/macOS). (3) Python 2 vs Python 3 mismatch: ensure you run python3 main.py not python main.py if both are installed.

Where can I find more Python projects with source code?

Browse the Python Projects hub for the full library. For computer vision specifically see OpenCV Projects (46 vision systems). For ML / AI capstones see Machine Learning Projects. For BSIT capstone idea lists see 150 Best Capstone Project Ideas.

Angel Jude Suarez


Full-Stack Developer at PIES IT Solution

Focuses on Python development, machine learning, and AI integration. Has built production AI systems including OpenAI Whisper integration for medical transcription and GPT-4o-powered diagnosis assistance. Strong background in pandas, scikit-learn, and TensorFlow.

Expertise: Python · PHP · Java · VB.NET · ASP.NET · Machine Learning · AI Integration · OpenCV · Django · CodeIgniter
 · View all posts by Angel Jude Suarez →

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