Python Interview Questions

Brush up for your next Python interview with 240+ solutions on most common challenging interview questions (English Edition)

Swati Saxena

• Publisher: BPB Publications
• Year: 2021
• ISBN:
  9789389898460
• Topic: Computer Science
• Subtopic: Programming in Python
• Index: Computer Science

A pragmatic guide that will teach you to implement Agile, SCRUM and Kanban in your organization. Key Features

• Expert-guided techniques for successful Agile transformation in your organization.
• Solution-focused responses on interview questions of Agile SCRUM, XP, DSDM, KANBAN and SCRUMBAN.
• Reference guide to prepare for leading PMI-ACP and SAFe Certification exam.
• 
  Description
  This book is for businesses that aspire to improve agility, deliver fit-for-purpose products and services, delight customers, and provide the security of long-term survival associated with mature businesses that consistently meet or exceed customer expectations. Learn a lean approach by seeing how Kanban made a difference in four real-world situations. You'll explore how different teams used Kanban to make paradigm-changing improvements in software development. These teams were struggling with overwork, unclear priorities, and a lack of direction. As you discover what worked for them, you'll understand how to make significant changes in real-life situations. The Artefact has been developed as a resource to understand, evaluate, and use Agile and Hybrid Agile approaches. This practice guide will help you understand when, where, and how to apply Agile approaches and provides practical tools for practitioners and organizations wanting to increase agility. What you will learn
  
• Explore and learn how to build Organizational Resilience and Enterprise Maturity Model.
• Step-by-step solutions to implement Portfolio Kanban and Upstream Kanban.
• Deep dive into Agile SHIFT framework and Hybrid Agile framework.
• Exciting case studies and practical demonstrations on Agile SCRUM & KANBAN.
• Expert-ready guidance on overcoming common Agile project management misconceptions.
• 
  Who this book is for
  This book is appealing to decision makers, product owners, project team members who can make use of this guide in improvising the productivity and efficient management of business operations without much of hassle. Table of Contents
  1. Key success factors for adopting Agile SCRUM Kanban in any organization
  2. Lessons learnt and pragmatic approach – Agile Scrum Kanban
  3. Tricky real-world Agile SCRUM & KANBAN case studies, demos and tools
  4. Agile SCRUM KANBAN Maturity assessment Nuts & Bolts
  5. Useful tips & techniques for successful Agile transformation in any organization and the art of Agile development
  6. Use of Agile for students and parents
  7. Common Agile SCRUM KANBAN misconceptions
  8. Key takeaways
  9. Interview questions and answers on Agile SCRUM KANBAN
  10. Glossary
  11. Quiz session
  12. Test your knowledge About the Authors
  Sudipta Malakar is an accomplished SAP practice area head, Certified IT Sr. program manager, Agile coach – Advanced level, Harvard Business School, USA, alumnus, patent holder, and an International bestselling author & speaker with more than 17 years of experience in directing SAP DEV teams in supporting many major Global fortune 500 clients in multiple large accounts. He is a certified sr. program manager (MSP practitioner), a sr. project manager (PRINCE2 Practitioner), PMP®, CSP®, ITIL(F), a certified Agile Leader(CDL), CLMM, CMM, and an advanced certified Scrum Master (A-CSM) ®, CSPO®, CSM®, KMP2, KMP1, ICP-ACC®, TKP®, ISO 9001 Lead Auditor, Lean Six Sigma Master Black Belt, CMMi (Expert). He worked in various IT companies like IBM, Wipro, Satyam, Tech Mahindra, Patni, and Syntel, and he played a crucial sr. management/Agile coach role for various global clients like Sterlite, Lufthansa, Nestle, PMI, Suncor, IPA, Canadian Pacific railways, Sony, Volvo, Allstate, and BOC Linde. LinkedIn Profile: https://www.linkedin.com/in/sudipta-malakar-csp-klmm-cdl-kmm-cspo-kmp-a-csm-icp-acc-tkp-3a794213a/

Python Solved Questionnaire

Learning objective:

This book will help you to learn:

• The core concept of Python
• The OOPs concept
• Modules in Python
• Python GUI (Tkinter)
• File Handling
• Python database
• NumPy, Pandas
• Django, Flask

Let us begin!

1. What is the history behind Python?
   Ans. Python was released in 1991 by Guido van Rossum. The history behind the name is, in the 1970s, there was a popular BBC comedy TV show called Monty Python’s Fly Circus and Van Rossum happened to be the big fan of that show. So, when Python was developed, Rossum named the project Python.
2. What is Python?
   Ans. Python is a high-level, interpreted, interactive, and object-oriented scripting language. It is designed to be highly readable:
   • Points to know about Python -It supports functional and structured programming methods as well as OOP.
   • It supports automatic garbage collection.
   • It can be used as a scripting language and can be compiled to byte-code for building large applications.
   • It provides very high-level dynamic data types and supports dynamic type checking.
   • It can be easily integrated with
     1. C,
     2. C++,
     3. COM,
     4. ActiveX,
     5. CORBA,
     6. Java.
3. In which application area Python can be used?
   Ans. Python can be built in the following areas:
   • GUI-based desktop applications
   • Web applications
   • Games
   • Scientific and computational applications
   • Language development
   • Enterprise and business applications development
   • Operating systems
4. What are the benefits of Python?
   Ans. Here are the benefits of Python:
   • Open source: Python language is developed under an OSI-approved open source license, which makes it free to use and distribute, including for commercial purposes.
   • Easy learning: Python offers excellent readability and uncluttered simple-to-learn syntax which helps beginners to utilize this programming language.
   • Extensive support library: Python provides a large standard library that includes areas such as Internet protocols, string operations, web services tools, and operating system interfaces. It reduces the length of code to be written significantly.
   • User-friendly data structure: Python has built-in list and dictionary data structures that can be used to construct fast runtime data structures.
   • Productivity and speed: Python has clean object-oriented design, provides enhanced process control capabilities and possesses strong integration and text processing capabilities and its unit testing framework, all of which contribute to the increase in its speed and productivity.
5. Explain memory management in Python?
   Ans. Memory management is the process of efficiently allocating, de-allocating, and coordinating memory so that all the different processes run smoothly and can optimally access different system resources. Memory management also involves cleaning the memory of objects that are no longer being accessed.
   In Python, the memory manager is responsible for these kinds of tasks by periodically running to clean up, allocate, and manage the memory. Unlike C, Java, and other programming languages, Python manages objects by using reference counting. This means that the memory manager keeps track of the number of references to each object in the program.
   Lets understand memory manage...

Table of contents

• Cover Page
• Title Page
• Copyright Page
• Dedication Page
• About the Author
• About the Reviewer
• Acknowledgement
• Preface
• Errata
• Table of Contents
• 1. Python Solved Questionnaire