DEV Community: Aries_unknown

Quickstart with pytorch (Part-1)

Aries_unknown — Sun, 03 Aug 2025 14:33:19 +0000

PyTorch is one of the widely used deep learning libraries .Learning it has many benefits. Today we will start to learn about basic of pyTorch.

Importing Libraries

import torch
from torch import nn
from torch.utils.data import DataLoader
from torchvision import datasets
from torchvision.transforms import ToTensor

importing torch
then we are importing the Dataloader form torch.utils.data which help to iter over the data
then importing dataset from pytorchvision
lastly importing the transforms function that will transform the data to tensor of we could say array

Loading Dataset

# Download training data from open datasets.
training_data = datasets.FashionMNIST(
    root="data",
    train=True,
    download=True,
    transform=ToTensor(),
)

# Download test data from open datasets.
test_data = datasets.FashionMNIST(
    root="data",
    train=False,
    download=True,
    transform=ToTensor(),

)

Making two variables training and testing to load the dataset of fashion items and transforming it

## Create the dataloader 
We will create the data loader to iterate through 
batch_size = 64

# Create data loaders.
train_dataloader = DataLoader(training_data, batch_size=batch_size)
test_dataloader = DataLoader(test_data, batch_size=batch_size)

for X, y in test_dataloader:
    print(f"Shape of X [N, C, H, W]: {X.shape}")
    print(f"Shape of y: {y.shape} {y.dtype}")
    break

Will be continue from part-2

From Student Struggle to SaaS Startup: Solving Invoicing with InvoiceTastic

Aries_unknown — Sun, 23 Feb 2025 08:02:01 +0000

Hey dev.to community,

I'm a student developer with a passion for building things that solve real-world problems. Lately, that problem was invoicing.

Like many of you, I've been freelancing alongside my studies. It's a great way to gain experience and earn some extra cash, but it comes with its own set of challenges. One of the biggest hurdles I faced was managing invoices and tracking payments.

I started with the usual suspects: spreadsheets and free online invoice generators. But they all fell short. Spreadsheets were messy, and the free tools were clunky and unprofessional. I was spending way too much time on admin work, time I could have spent coding or studying.

The Pain Points:

Manual Invoicing: Time-consuming and prone to errors.
Payment Tracking: No clear overview of which invoices were paid and which weren't.
Late Payments: Awkwardly chasing clients for payments.
Time Management: Juggling development work and administrative tasks.
The Solution: InvoiceTastic

As a developer, I thought, "Why not build my own solution?" And that's exactly what I did. I created InvoiceTastic, a SaaS platform designed to automate the entire invoicing process.

Tech Stack:

Next.Js, and Api Routing
Datbase: Postgres Neon
Payment: Stripe

Key Features:

Simple Invoice Creation: Generate professional invoices in minutes.
Automated Reminders: Send gentle reminders for overdue payments.
Real-Time Payment Tracking: Monitor payment status at a glance.
Customizable Templates: Create invoices that match your brand.

Challenges and Learnings:

Balancing Development with Studies: It was a challenge to manage my time effectively.
Learning New Technologies: I had to learn new skills and technologies along the way.
Deployment and Scaling: Getting the platform live and ready for users.
The Result:

InvoiceTastic has helped me streamline my invoicing process and focus on what I love: coding. I'm no longer stressing about late payments or spending hours on admin work.

Call to Action:

I'm sharing my experience to inspire other developers and to get feedback on InvoiceTastic. If you're a freelancer or small business owner struggling with invoicing, I encourage you to check it out: Click Here

I'm also keen to hear your thoughts on the tech stack I used and any suggestions for improvements.

Thanks for reading!

Fine tune your pre-trained model using this notebook

Aries_unknown — Thu, 14 Mar 2024 17:29:31 +0000

Get your notebook from here : https://github.com/AbdullahZulfikar/fine-tune-models-with-this-notebook
Feel free to discuss how to use this notebook and how to use a safetensor after training.