How Long Does It Take To Finish Book Learning Python Completely?

2025-07-14 20:57:12 229

4 Answers

Selena
Selena
2025-07-16 23:39:57
For me, 'Learning Python' was a 3-month journey with weekends dedicated to coding. I paired each chapter with small projects—a to-do list app, a weather scraper—which made concepts stick. The book’s depth surprised me; even appendices on Unicode were useful later. If you’re pressed for time, focus on chapters 1-10 first, then loop back for advanced topics. Consistency matters more than speed.
Faith
Faith
2025-07-17 04:35:38
I can say 'Learning Python' took me around 5 months to complete properly. Weekdays were hectic, so I squeezed in 30-60 minutes nightly, with longer sessions on weekends. The early chapters flew by, but once I hit decorators and generators, I had to slow down and revisit sections. What helped was joining a study group—we debated concepts and shared code snippets, which made tricky parts like metaclasses click faster.

Don’t skip the 'Further Reading' sections; they’re clutch for deepening your understanding. Also, the book’s thickness is intimidating, but Mark Lutz’s humor keeps it lively. I know folks who raced through in a month, but their code was messy because they skipped practice. Quality over speed, always.
Piper
Piper
2025-07-17 11:00:09
'Learning Python' is one of those books that can either be a quick sprint or a marathon, depending on your background. If you're already familiar with coding concepts, you might breeze through it in about 3-4 weeks, dedicating a couple of hours daily. But if you're a total newbie, it could take 2-3 months of consistent study. The book covers everything from basics to advanced topics like OOP and data structures, so rushing through it won't do you any favors.

I recommend taking your time with the exercises—they're gold for solidifying concepts. My friend, a self-taught dev, spent 6 months on it but landed a job right after because he mastered the material. Another tip: pair it with real projects, like automating mundane tasks. It’s not just about finishing the book; it’s about absorbing the knowledge.
Elise
Elise
2025-07-18 20:09:55
I tackled 'Learning Python' during my gap year, and it was my gateway into tech. With 4-5 hours daily, I finished in 6 weeks, but I annotated every page and rewrote examples in my own style. The key was treating it like a workbook—typing every snippet, even the 'boring' ones about string formatting. Later, I realized those fundamentals saved me during debugging. Projects like building a CLI calculator kept me motivated.

The book’s pace picks up after functions, so I took breaks to avoid burnout. If you’re visual, supplement with YouTube tutorials on tougher topics like iterators. My biggest takeaway? Python’s simplicity is deceptive; mastering its nuances takes patience.
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