Master Python in 2026 with this free 12-week study plan. Daily 50-minute coding sessions and 30-minute reviews cover the basics of projects.
Perfect for beginners aiming for a career in data science, automation & jobs.
Python Programming 2026: 12-Week Study Plan for Beginners – Complete Roadmap
Python remains the top programming language for beginners in 2026, powering AI, data science, web development, and automation. This 12-week study plan, inspired by a popular visual roadmap, structures daily learning with focused topics, hands-on practice, and progressive projects to build job-ready skills.
Weekly Breakdown
The plan is divided into 12 themed weeks, progressing from fundamentals to advanced applications and capstone projects. Each week features daily lessons (50 minutes of coding) followed by a review of prior code (30 minutes), ensuring retention.
| Week | Core Topics | Key Skills & Activities | Daily Practice |
|---|---|---|---|
| 1 | Python Basics | Variables, data types, strings | 5 mini exercises |
| 2 | Control Structures | If/else, for/while loops | 10 loop problems |
| 3 | Data Structures | Lists, slicing, dictionaries | Data analysis tasks |
| 4 | Strings & Files | CSV handling, writing files | Log analysis projects |
| 5 | Exceptions | Try/except, error handling | Bug fix challenges |
| 6 | OOP Concepts | Classes, inheritance | Utility scripts |
| 7 | Pandas Basics | DataFrames, cleaning CSV | Sales data analysis |
| 8 | External Packages | NumPy, API requests | Weather app daily |
| 9 | Advanced Pandas | Data cleaning, analysis | Task dashboards |
| 10 | Mini Projects 1 | Small apps, exposure | Build & test |
| 11 | Mini Projects 2 | Expanders, practice review | Deploy simple tools |
| 12 | Capstone | Full projects, review | Portfolio polish |
Master Python in 2026: Complete 12-Week Beginner Roadmap
Python stands as the most beginner-friendly language for 2026, driving careers in AI, automation, and data analysis. This structured 12-week roadmap transforms zero-knowledge learners into confident coders through daily practice and progressive projects.
Week-by-Week Learning Path
Follow this hands-on plan with specific examples and milestones to track progress.
Week 1: Python Basics
Install Python and VS Code, then master variables, data types, input/output, and operations. Practice with 10 small programs, like a calculator or temperature converter.
Week 2: Control Flow
Dive into if/else/elif statements, for/while loops, break, and continue. Solve 20 logic problems, such as building a number-guessing game.
Week 3: Data Structures
Explore lists, tuples, sets, and dictionaries with indexing, slicing, and methods. Loop through collections to solve real problems like student marks analysis.
Week 4: Functions and Modules
Define functions with parameters and returns, try lambda functions, and import modules. Create reusable tools like a math utility.
Week 5: Strings and File Handling
Use string methods, read/write files, and handle CSV/text data. Build programs like a log file analyzer.
Week 6: Error Handling and Debugging
Implement try/except/finally, identify errors, and use debuggers. Fix issues in projects like a robust input validator.
Week 7: Object-Oriented Programming
Create classes, objects, constructors, methods, inheritance, and encapsulation. Develop apps such as a bank account system.
Week 8: Standard Libraries
Work with datetime, math, random, os, sys, and JSON. Script utilities like an automated folder organizer.
Week 9: External Packages
Set up pip/virtual environments, use requests for APIs, and parse responses. Build a weather app.
Week 10: Data Handling Basics
Introduce NumPy and Pandas for CSV/Excel reading and cleaning. Summarize sales data.
Week 11: Mini Projects
Construct two projects emphasizing logic: a to-do list app and an expense tracker with clean code.
Week 12: Final Project and Revision
Complete an end-to-end project like an automation tool or data analysis app, revise concepts, and tackle interview questions.
Daily Success Rules
Code for at least 60 minutes each day and solve 5 problems. Rewrite old code weekly to solidify skills and prepare for real-world coding interviews. Track everything in a GitHub repo for your portfolio.
Daily Rules for Success
Commit to 50 minutes of new code daily, solving targeted exercises like loops or functions. Follow with 30 minutes reviewing old code to reinforce concepts and debug issues. Track progress in a journal or GitHub repo for portfolio building.
Why This Plan Ranks High in 2026
Structured roadmaps like this outperform generic tutorials by 40% in completion rates, per learning studies. Optimized for night-shift schedules with short sessions, it aligns with Indian entrepreneurs building digital skills. Start today for Python mastery and high-demand careers in automation or e-commerce tools.
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