Beginner's Guide · Programming & Version Control
Python or Git and GitHub First? What Beginners Should Pick
Quick summary — Python or Git and GitHub first?
Start with Python if you want to build things from day one. This guide breaks down every day, week, and month of your learning journey — with checklists, goals, and tracking to keep you on course.
In this guide you will learn:
- Month 1: Python Basics — daily and weekly learning plan.
- Month 2: Python Projects — daily and weekly learning plan.
- Month 3: Git & GitHub — daily and weekly learning plan.
- Tracking templates — track your progress.
- Accountability tips — stay on track.
SECTION 01Month 1: Python Basics (Days 1-30)
The first month is about building your programming foundation. Here's your weekly learning plan:
| Week | Focus | Daily Actions | Weekly Goal |
|---|---|---|---|
| Week 1 | Python Syntax | Variables, data types, operators, input/output | Write 10 simple scripts |
| Week 2 | Control Flow | If/else, loops, functions | Build a calculator |
| Week 3 | Data Structures | Lists, dictionaries, sets, tuples | Build a contact book |
| Week 4 | File Handling & Errors | Read/write files, try/except, modules | Build a file-based task manager |
Month 1 — Daily Schedule:
7:00 AM — Wake up, exercise (30 min)
8:00 AM — Review goals for the day
9:00 AM — Deep work (3 hours)
- Week 1: Python syntax and operators
- Week 2: Control flow and functions
- Week 3: Data structures
- Week 4: File handling and errors
12:00 PM — Lunch break
1:00 PM — Practice exercises (Codewars, HackerRank)
2:00 PM — Deep work (2 hours)
5:00 PM — Review progress, plan tomorrow
6:00 PM — Exercise, rest
8:00 PM — Read documentation (30 min)
10:00 PM — Wind down
Week 1 Review:
□ Do I understand variables and data types?
□ Can I use operators correctly?
□ Have I written 10 simple scripts?
Week 2 Review:
□ Can I write if/else statements?
□ Can I write loops?
□ Can I define functions?
Week 3 Review:
□ Can I use lists?
□ Can I use dictionaries?
□ Have I built a contact book?
Week 4 Review:
□ Can I read and write files?
□ Do I understand try/except?
□ Can I import modules?
SECTION 02Month 2: Python Projects (Days 31-60)
The second month is about building real projects. This is where Python becomes useful — and where Git starts to matter. Here's your weekly learning plan:
| Week | Focus | Daily Actions | Weekly Goal |
|---|---|---|---|
| Week 5 | OOP Basics | Classes, objects, methods, inheritance | Build a class-based app |
| Week 6 | Working with APIs | Requests library, JSON, API data | Build an API-powered app |
| Week 7 | Data Analysis | Pandas, CSV, basic visualization | Analyze a real dataset |
| Week 8 | Build Project 1 | End-to-end Python project | Complete Project 1 |
Month 2 — Daily Schedule:
7:00 AM — Wake up, exercise (30 min)
8:00 AM — Review goals for the day
9:00 AM — Deep work (3 hours)
- Week 5: OOP basics
- Week 6: Working with APIs
- Week 7: Data analysis with Pandas
- Week 8: Project 1
12:00 PM — Lunch break
1:00 PM — Practice (build features, solve problems)
2:00 PM — Deep work (2 hours)
5:00 PM — Review progress, plan tomorrow
6:00 PM — Exercise, rest
8:00 PM — Read documentation (30 min)
10:00 PM — Wind down
Week 5 Review:
□ Do I understand classes and objects?
□ Can I use inheritance?
□ Have I built a class-based app?
Week 6 Review:
□ Can I make API requests?
□ Can I parse JSON?
□ Have I built an API-powered app?
Week 7 Review:
□ Can I load a CSV with Pandas?
□ Can I compute summary statistics?
□ Have I created a chart?
Week 8 Review:
□ Is Project 1 complete?
□ Is it documented?
□ Is it ready to share?
SECTION 03Month 3: Git & GitHub (Days 61-90)
The third month introduces Git and GitHub — now that you have projects to version and share. Here's your weekly learning plan:
| Week | Focus | Daily Actions | Weekly Goal |
|---|---|---|---|
| Week 9 | Git Basics | Init, add, commit, log, status | Version your Python projects |
| Week 10 | Branching & Merging | Branch, checkout, merge, resolve conflicts | Merge a feature branch |
| Week 11 | GitHub Collaboration | Remotes, push, pull, pull requests, issues | Publish your portfolio on GitHub |
| Week 12 | Portfolio & Apply | Polish GitHub profile, README files, apply | 25 quality applications |
Month 3 — Daily Schedule:
7:00 AM — Wake up, exercise (30 min)
8:00 AM — Review goals for the day
9:00 AM — Deep work (3 hours)
- Week 9: Git basics
- Week 10: Branching and merging
- Week 11: GitHub collaboration
- Week 12: Portfolio and applications
12:00 PM — Lunch break
1:00 PM — Practice (commit, branch, push, PRs)
2:00 PM — Deep work (2 hours)
5:00 PM — Review progress, plan tomorrow
6:00 PM — Exercise, rest
8:00 PM — Read Git documentation (30 min)
10:00 PM — Wind down
Week 9 Review:
□ Can I init a repo, add, and commit?
□ Do I understand the staging area?
□ Have I versioned my Python projects?
Week 10 Review:
□ Can I create and switch branches?
□ Can I merge branches?
□ Have I resolved a merge conflict?
Week 11 Review:
□ Can I push to GitHub?
□ Can I open a pull request?
□ Have I published my portfolio?
Week 12 Review:
□ Is my GitHub profile polished?
□ Do my repos have good READMEs?
□ Have I applied to 25 roles?
SECTION 04Tracking templates
Use these templates to track your 90-day progress:
Daily Tracker:
Date: _________
☐ Morning routine completed
☐ Deep work session 1 (3 hours)
☐ Deep work session 2 (2 hours)
☐ Practice exercises completed
☐ Project work completed
☐ Exercise completed
☐ Reviewed progress
☐ Planned tomorrow
Today's Accomplishments:
1.
2.
3.
Tomorrow's Priorities:
1.
2.
3.
Weekly Tracker:
Week: _____ (Month 1 / 2 / 3)
Goals for this week:
1.
2.
3.
Daily Progress:
Mon: ☐☐☐
Tue: ☐☐☐
Wed: ☐☐☐
Thu: ☐☐☐
Fri: ☐☐☐
Sat: ☐☐☐
Sun: ☐☐☐
Weekly Wins:
1.
2.
3.
Challenges & Solutions:
1.
2.
Next Week's Goals:
1.
2.
3.
Monthly Tracker:
Month: _____ (1 / 2 / 3)
Monthly Goal:
_______________________________________________
Week 1 Progress: ☐☐☐
Week 2 Progress: ☐☐☐
Week 3 Progress: ☐☐☐
Week 4 Progress: ☐☐☐
Monthly Wins:
1.
2.
3.
Skills Gained:
1.
2.
3.
Portfolio Items:
1.
2.
3.
Applications Sent: _____
Interviews: _____
Offers: _____
Next Month's Goal:
_______________________________________________
SECTION 05Accountability tips
Here are tips to stay accountable during your 90-day learning journey:
- Find an accountability partner — share your weekly goals with someone who will check in.
- Track daily wins — write down 3 wins each day, no matter how small.
- Join a community — connect with other Python or Git learners.
- Celebrate milestones — reward yourself at 30, 60, and 90 days.
- Review weekly — every Sunday, review your progress and plan the week ahead.
SECTION 06Interview Q&A — Python & Git
Q1Should I learn Python or Git first?
Start with Python. Programming is the core skill — Git is a tool that helps you manage code. You need code to manage before Git becomes useful.
Q2Can I learn Git without knowing a programming language?
Technically yes, but it's abstract and hard to stay motivated. Learning Python first gives you real projects to version — which makes Git click faster.
Q3How long should I spend on Python before Git?
About 60 days. That's enough to build 2-3 projects and understand the basics. At that point, Git becomes immediately useful for tracking your work.
Q4Is Git hard to learn?
The basics are easy — init, add, commit, push. The harder parts (branching, merging, conflict resolution) become relevant as your projects grow, which is why Python first works well.
Q5What if I get a job before 90 days?
Congratulations! Use the remaining time to prepare for your new role or continue building skills. The plan is flexible.
SECTION 07Test yourself — Python vs Git quiz
Five questions. No sign-up.
0 / 5Pick an answer to see why it is right or wrong.
SECTION 08Frequently asked questions
What's the most important month in the Python vs Git plan?
All months are important, but Month 1 (Python Basics) is critical because it sets the foundation for everything that follows.
How much time should I commit daily?
5-6 hours of focused work daily is optimal. If you have less time, even 2-3 hours consistently can work — you'll just need to extend the timeline.
What if I don't have a portfolio?
Build one in Month 2. Start with 2-3 projects — it doesn't need to be perfect, just real and well-documented.
Can I combine months?
Yes — if you have more time, you can combine activities. For example, you can start learning Git while finishing Python projects.
What if I'm not applying in Month 3?
Use the extra time to build more projects, improve your portfolio, or practice more interview questions. Stay ready.
SECTION 09Related reads
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