Master the Python interview (special banks & startups) from Udemy

What's inside

Learning objectives

Master the python interview
Apply confidently for a python software developer job

Demonstrate confidently your knowledge of python
Ace coding interviews after preparing with real interview questions and exercises

Master the python interview
Apply confidently for a python software developer job
Demonstrate confidently your knowledge of python
Ace coding interviews after preparing with real interview questions and exercises

Syllabus

Getting ready for the Python interview

Introduction

Python 2.7 vs Python 3.x

Pycharm

Question 1

Question 1 (datastructures must-know) - Part 1

Question 1 - Part 2

Question 1 - Quiz 1

Question 1 - Quiz 2

Question 1 - PDF

Question 2

Question 2 (oop must-know)

Question 2 - Quiz 1

Question 2 - Quiz 2

Question 2 - PDF

Question 3

Question 3 (professional software practices must-know) - Part 1

Question 3 - Part 2

Question 3 - Exercise

Question 3 - Quiz 1

Question 3 - Quiz 2

Question 3 - PDF

Question 4

Question 4 (exceptions must-know) - Part 1

Question 4 - Part 2

Question 4 - Quiz 1

Question 4 - Quiz 2

Question 4 - PDF

Question 5

Question 5 (structures must-know)- Part 1

Question 5 - Part 2

Question 5 - Part 3

Question 5 - Exercise 1

Question 5 - Exercise 2

Question 5 - Exercise 3

Question 5 - Quiz 1

Question 5 - Quiz 2

Download the PDF of Question 5

Question 6

Question 6 (pythonic must-know)- Part 1

Question 6 - Part 2

Question 6 - Quiz 1

Question 6 - Quiz 2

Question 6 - PDF

Question 7

Question 7 (more datastructures must-know) - Part 1

Question 7 - Part 2

Question 7 - Exercise 1

Question 7 - Exercise 2

Question 8

Question 8 - (more OOP must-know)

Question 8 - Exercise

Question 9

Question 9 - (datastructure comprehensions must-know)

Question 9 - Exercise 1

Question 9 - Exercise 2

Bonus

Discount code for next course

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Explains concepts and skills essential to entry and mid-level Python Developers

Taught by seasoned professional developers

Covers topics widely applicable in the industry

May require learners to come in with basic Python knowledge

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Master the Python interview (special banks & startups) with these activities:

Review Python 3

Show steps

Start by reviewing key Python 3 concepts to refresh basic skills and improve understanding of advanced topics.

Browse courses on Python 3

Show steps

Read online tutorials and articles about Python 3.
Take a short course on Python 3.0 Fundamentals.

Mentor Junior Python Developers

Show steps

Reinforce knowledge by explaining concepts to others and providing guidance.

Show steps

Volunteer as a mentor for junior Python developers.
Answer questions, provide feedback, and guide their learning.

Show all two activities

Career center

Learners who complete Master the Python interview (special banks & startups) will develop knowledge and skills that may be useful to these careers:

Data Scientist

Data Scientists analyze data to extract meaningful insights and help businesses make better decisions. For example, a Data Scientist may use Python to analyze customer data to identify trends and patterns. This course will help you develop the skills you need to become a successful Data Scientist, including data analysis, machine learning, and data visualization.

See salaries and explore the career path for Data Scientist

Software Engineer

Software Engineers design, develop, and maintain software applications. For example, a Software Engineer may use Python to develop a web application for a business. This course will help you develop the skills you need to become a successful Software Engineer, including software design, coding, and debugging.

See salaries and explore the career path for Software Engineer

Quantitative Analyst

Quantitative Analysts use mathematical and statistical models to analyze financial data. For example, a Quantitative Analyst may use Python to develop a model to predict stock prices. This course will help you develop the skills you need to become a successful Quantitative Analyst, including financial modeling, data analysis, and risk management.

See salaries and explore the career path for Quantitative Analyst

Machine Learning Engineer

Machine Learning Engineers design, develop, and maintain machine learning models. For example, a Machine Learning Engineer may use Python to develop a machine learning model to predict customer churn. This course will help you develop the skills you need to become a successful Machine Learning Engineer, including machine learning algorithms, data analysis, and model deployment.

See salaries and explore the career path for Machine Learning Engineer

Data Analyst

Data Analysts collect, analyze, and interpret data to help businesses make better decisions. For example, a Data Analyst may use Python to analyze sales data to identify trends and opportunities. This course will help you develop the skills you need to become a successful Data Analyst, including data analysis, data visualization, and data mining.

See salaries and explore the career path for Data Analyst

Product Manager

Product Managers oversee the development and launch of new products. For example, a Product Manager may use Python to develop a prototype for a new product. This course will help you develop the skills you need to become a successful Product Manager, including product development, market research, and customer feedback analysis.

See salaries and explore the career path for Product Manager

Business Analyst

Business Analysts analyze business processes and identify opportunities for improvement. For example, a Business Analyst may use Python to analyze customer feedback to identify areas for improvement. This course will help you develop the skills you need to become a successful Business Analyst, including business process analysis, data analysis, and communication.

See salaries and explore the career path for Business Analyst

Project Manager

Project Managers plan, execute, and close projects. For example, a Project Manager may use Python to develop a project plan for a new software development project. This course will help you develop the skills you need to become a successful Project Manager, including project planning, risk management, and team leadership.

See salaries and explore the career path for Project Manager

Database Administrator

Database Administrators manage and maintain databases. For example, a Database Administrator may use Python to develop scripts to automate database tasks. This course may help you develop some of the skills you need to become a successful Database Administrator, including data management, database design, and database security.

See salaries and explore the career path for Database Administrator

Web Developer

Web Developers design, develop, and maintain websites. For example, a Web Developer may use Python to develop a website for a business. This course may help you develop some of the skills you need to become a successful Web Developer, including web design, coding, and debugging.

See salaries and explore the career path for Web Developer

Technical Writer

Technical Writers create and maintain documentation for technical products. For example, a Technical Writer may use Python to develop a user guide for a new software product. This course may help you develop some of the skills you need to become a successful Technical Writer, including technical writing, editing, and communication.

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Quality Assurance Analyst

Quality Assurance Analysts test and evaluate software products to ensure they meet quality standards. For example, a Quality Assurance Analyst may use Python to develop test scripts for a new software product. This course may help you develop some of the skills you need to become a successful Quality Assurance Analyst, including software testing, debugging, and reporting.

See salaries and explore the career path for Quality Assurance Analyst

Systems Analyst

Systems Analysts analyze and design computer systems. For example, a Systems Analyst may use Python to develop a system to automate a business process. This course may help you develop some of the skills you need to become a successful Systems Analyst, including systems analysis, design, and implementation.

See salaries and explore the career path for Systems Analyst

IT Manager

IT Managers plan, implement, and manage IT systems for organizations. For example, an IT Manager may use Python to develop a network management system. This course may help you develop some of the skills you need to become a successful IT Manager, including IT planning, budgeting, and management.

See salaries and explore the career path for IT Manager

Computer Scientist

Computer Scientists research and develop new computer technologies. For example, a Computer Scientist may use Python to develop a new algorithm for solving a complex problem. This course may help you develop some of the skills you need to become a successful Computer Scientist, including computer science fundamentals, research, and development.

See salaries and explore the career path for Computer Scientist