Stage 5 · Lesson 3 of 7

Scoping so you finish

A finished small project proves more than an ambitious unfinished one, and finishing is what employers most want to see. So build a . Before you start, write in a few lines what will and will not do.

For example: three screens, one type of user, export, deployed with fake data. Put every other idea in a "later" list. Estimate the hours using your weekly budget, and set a finish date.

If you are halfway through the time and far from done, cut features instead of extending forever.

Common trapadding features whenever you get bored, so the project is always nearly finished and never shown to anyone.

A question to check yourself, an AI practice session and 1 cheat sheet entry come when you add the roadmap to your account. Add it

Resources for this stage

Start with

BookFree
Automate the Boring Stuff with Python
Al Sweigart · Beginner
Free book on automating spreadsheets, files and reports: ideal for projects from your old job

Practise

First Contributions
A guided first pull request, so your first real contribution is not your first time using Git
Good First Issue
Beginner-friendly issues in active projects once you have done a practice pull request

Keep handy

Kaggle Datasets
Public datasets from many industries, often including the field you came from
Hashnode
A free developer blog for your write-ups and case studies

Also worth your time

Learn In PublicRead
The short essay behind learning in public, and why it keeps paying off