⌨️ Useful Python Modules

⌨️ Quick Python cheatsheet.

Python for FinTech Roadmap

Stage 1 – Learn Python (Syntax, OOP, Libraries)
Stage 2 – Understand FinTech Concepts (Finance, Payments, Regulations)
Stage 3 – Data Handling (Pandas, NumPy, CSV, APIs)
Stage 4 – Financial Modeling (Risk Analysis, Pricing Models)
Stage 5 – Automation (Web Scraping, Report Generation)
Stage 6 – Security (Encryption, Compliance)
Stage 7 – Build Financial Tools (Payment Gateways, Trading Bots)
Stage 8 – Deploy FinTech Apps (Cloud, SaaS)

🏆 – Python FinTech Developer

#python

Python for Cloud Computing Roadmap

Stage 1 – Learn Python (Syntax, OOP)
Stage 2 – Understand Cloud Concepts (IaaS, PaaS, SaaS)
Stage 3 – Work with AWS/Azure SDKs (Boto3, Azure SDK)
Stage 4 – Cloud Storage (S3, Blob Storage)
Stage 5 – Deploy with Docker and Kubernetes
Stage 6 – Implement Serverless (Lambda, Functions)
Stage 7 – Automate Infrastructure (Terraform, CloudFormation)
Stage 8 – Monitor and Scale Cloud Apps

🏆 – Python Cloud Developer

FREE RESOURCES TO LEARN PYTHON
👇👇

Data Structure and OOPS in Python Free Courses

https://bit.ly/3t1WEBt

Free Certified Python course by Freecodecamp

https://www.freecodecamp.org/learn/scientific-computing-with-python/

Free Python Course from Google

https://developers.google.com/edu/python

Free Python Tutorials from Kaggle

https://www.kaggle.com/learn/python

Python hands-on Project

https://t.iss.one/Programming_experts/23

Free Python Books Collection

https://cfm.ehu.es/ricardo/docs/python/Learning_Python.pdf

https://static.realpython.com/python-basics-sample-chapters.pdf

👨‍💻Websites to Practice Python

1. https://codingbat.com/python
2. https://www.hackerrank.com/
3. https://www.hackerearth.com/practice/
4. https://projecteuler.net/archives
5. https://www.codeabbey.com/index/task_list
6. https://www.pythonchallenge.com/

Beginner's guide to Python Free Book

https://t.iss.one/pythondevelopersindia/144

Official Documentation

https://docs.python.org/3/

Join @free4unow_backup for more free courses

ENJOY LEARNING 👍👍

DICTIONARY FOR PYTHON DEVELOPER

Python Code to remove Image Background
—————————————————————-
from rembg import remove
from PIL import Image

image_path = 'Image Name' ## ---> Change to Image name

output_image = 'ImageNew' ## ---> Change to new name your image

input = Image.open(image_path)

output = remove(input)

output.save(output_image)

Functions are fundamental in 𝗣𝘆𝘁𝗵𝗼𝗻, reusable blocks of code that streamline our work. Whether you're a beginner or an experienced coder, understanding Normal Functions vs. Lambda Functions can level up your coding efficiency.

Let's break it down:

🔹 𝗡𝗼𝗿𝗺𝗮𝗹 𝗙𝘂𝗻𝗰𝘁𝗶𝗼𝗻
With a name, body, and return statement, this function is ideal for tasks that require multiple lines of code or complex logic.

🔹 𝗟𝗮𝗺𝗯𝗱𝗮 𝗙𝘂𝗻𝗰𝘁𝗶𝗼𝗻
Need a quick, single-use function? Lambda is your friend! It’s anonymous and perfect for concise operations.

While Normal Functions are great for more extensive operations, Lambda Functions are excellent for small, single-use operations where you need simplicity.

Choose the function type that best fits your task’s complexity!

Python for Scientific Computing Roadmap

Stage 1 – Learn Python (Syntax, OOP)
Stage 2 – Use NumPy and SciPy for Mathematical Computing
Stage 3 – Work with Matplotlib for Data Visualization
Stage 4 – Statistical Analysis (Pandas, Statsmodels)
Stage 5 – Use SymPy for Symbolic Mathematics
Stage 6 – Simulate Models (ODE, PDE)
Stage 7 – Learn Jupyter for Scientific Workflows
Stage 8 – Perform Optimization and Numerical Solvers

🏆 – Python Scientific Developer

Happy Diwali guys 🪔🎇

Python Data Types