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Beginner's Guide · Programming & Version Control

Python or Git and GitHub First? What Beginners Should Pick

A complete beginner's guide to choosing between Python and Git/GitHub — daily, weekly, and monthly learning plan to keep you on track and accountable.

Tracks
Beginner Path · Live Interactive
Focus
—
Monthly theme
Key Goal
—
Primary objective
Checkpoint
—
End of month outcome
Month 1 → Month 2 → Month 3 → Job Ready
Click a month to see the learning path. Track your progress daily, weekly, and monthly to stay on course.

Home / Tutorials / Career Guides / Python or Git and GitHub First? What Beginners Should Pick

Beginner's Guide · Programming & Version Control

Python or Git and GitHub First? What Beginners Should Pick

MONTH 1 MONTH 2 MONTH 3 JOB READY Month 1 Python Basics Days 1-30 Foundation Month 2 Python Projects Days 31-60 Build Month 3 Git & GitHub Days 61-90 Launch Job Ready Python Developer Career Ready Success
A 90-day learning path — Month 1: Python Basics, Month 2: Python Projects, Month 3: Git & GitHub.

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:

  1. Month 1: Python Basics — daily and weekly learning plan.
  2. Month 2: Python Projects — daily and weekly learning plan.
  3. Month 3: Git & GitHub — daily and weekly learning plan.
  4. Tracking templates — track your progress.
  5. 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
month1-planner.md
Key insight: Month 1 is about building your programming foundation. Python is the most beginner-friendly language — it reads like English and lets you build real things quickly. This momentum matters.

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
month2-planner.md
Key insight: Month 2 is about building evidence. By now you have real Python projects — and this is exactly when you need Git. Version control makes sense once you have code worth tracking.

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
month3-planner.md
Key insight: Month 3 is about execution. Git makes sense once you have code worth saving. By learning Python first, you arrive at Git with real projects and real motivation to use it.

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. 
tracking-templates.md

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.
Pro tip: Consistency beats intensity. Even 2-3 hours of focused work daily is enough to complete this 90-day learning plan.

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 / 5

Pick 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.

Classroom & online · Noida

Your 90-day Python & Git path starts now

Our Python & Data Analytics Training Course is designed to help you learn Python, Git, and more — with skills, projects, and interview prep that get you hired.

₹15,500 · full programme ₹24,000
  • Complete 90-day learning path
  • Skills & projects
  • Mock interviews
  • Weekday & weekend batches