TSH

Python Development

The most versatile language in tech, automation, APIs, AI, and data.

Medium3 to 5 monthsbuild
Your Progress0%

Overview

Python is used for backend APIs, automation, data science, and AI. It has the simplest syntax of any mainstream language, perfect for beginners, while being powerful enough for the world's largest tech companies.

Who is this for?

  • ✓ Students starting from zero who want structure
  • ✓ Self-taught learners who need a clear path
  • ✓ Career switchers ready to commit consistently

What can you build?

  • REST APIs
  • Automation scripts
  • Web scrapers
  • AI chatbots
  • Data pipelines
  • Telegram/WhatsApp bots

Jobs you can get

Python DeveloperBackend DeveloperData EngineerAutomation EngineerAI/ML Engineer

Salary range: $50,000 to $130,000/year

Roadmap

Follow each stage in order. Mark stages complete as you finish them.

  1. Stage 13 to 4 weeks

    Python Basics

    • Variables & data types
    • Conditions & loops
    • Functions & scope
    • Lists, dicts, tuples, sets
    • File handling & errors
  2. Stage 23 to 4 weeks

    Intermediate Python

    • OOP: classes & inheritance
    • Comprehensions
    • Decorators & generators
    • Modules & packages
    • Virtual environments
  3. Stage 34 to 5 weeks

    Python for the Web

    • FastAPI fundamentals
    • SQLAlchemy ORM
    • JWT authentication
    • Async Python
    • API documentation
  4. Stage 42 to 3 weeks

    Automation & Scripting

    • File system operations
    • Web scraping (BeautifulSoup)
    • Working with PDFs & Excel
    • Sending emails
    • Scheduling tasks
  5. Stage 54 to 6 weeks

    Python + AI

    • OpenAI / Groq API integration
    • Prompt engineering in Python
    • LangChain basics
    • Vector databases intro
    • Building AI agents

Resources

Official Python Tutorial

FREE

The Python.org tutorial. Use alongside other sources.

docs.python.org/3/tutorial

Python Full Course for Beginners

FREE

4.5-hour Python beginner course, the best single video to start with.

www.youtube.com/watch?v=rfscVS0vtbw

Automate the Boring Stuff

FREE

Free online book: Python automation for files, PDFs, Excel, emails, web scraping.

automatetheboringstuff.com

Real Python

PAID

High-quality Python tutorials on every topic imaginable.

realpython.com

Corey Schafer Python Tutorials

FREE

The best Python YouTube channel. Deep, clear, professional-level content.

www.youtube.com/@coreyms

FastAPI Full Course

FREE

Complete FastAPI tutorial, routing, auth, databases, deployment.

www.youtube.com/watch?v=0sOvCWFmrtA

Groq API Quickstart

FREE

Run LLMs at incredible speed. The Groq quickstart for Python developers.

console.groq.com/docs/quickstart

LangChain Python Docs

FREE

Build AI-powered apps with LangChain, agents, chains, and memory.

python.langchain.com/docs/get_started/introduction

Projects

beginner

#01

File Organizer Script

Auto-sort files in Downloads folder into categorized subfolders.

Pythonosshutil
#02

Web Scraper

Scrape job listings or news and save to CSV with BeautifulSoup.

PythonBeautifulSouprequests

intermediate

#01

REST API with FastAPI

Full CRUD API with FastAPI, SQLAlchemy, and PostgreSQL.

FastAPIPostgreSQLSQLAlchemy
#02

PDF Report Generator

Take data input and auto-generate formatted PDF reports.

PythonreportlabPandas
#03

Telegram Bot

Build a Telegram bot with commands, inline keyboards, and database persistence.

Pythonpython-telegram-bot

advanced

#01

AI Chatbot API

Multi-turn AI chatbot backed by Groq LLM with conversation history.

FastAPIGroq APIPostgreSQL

AI Guide

What AI helps with

  • ✓ Generating automation script templates
  • ✓ Debugging logic errors and tracebacks
  • ✓ Converting pseudocode to Python
  • ✓ Writing docstrings and type hints
  • ✓ Refactoring messy code

What AI cannot replace

  • ✗ Understanding concepts for the first time, work through them yourself
  • ✗ Replacing testing
  • ✗ Security-sensitive code without thorough review

Recommended Tools

GitHub Copilot / Cursor

In-editor Python code generation

Claude

Code review, refactoring, architecture decisions

Sample Prompts

Refactor this Python function to be more Pythonic, add type hints, and improve error handling without changing the core logic: [paste code]
Write a Python script using Pandas that: loads all CSV files from a given folder, merges them into one DataFrame, removes duplicate rows by "id" column, and saves the result.
Explain this Python traceback and tell me exactly what to fix: [paste traceback]

Career Path

Python DeveloperBackend DeveloperData EngineerAutomation EngineerAI/ML Engineer

$50,000 to $130,000/year

Python is a gateway language, it leads to backend, data, AI, and automation. Once solid at fundamentals, specialize. Pick one direction: APIs, data, or AI, and go deep.

Full Career Prep Guide