Perfect Python Job Interviews
Perfect Python Job Interviews, available at $54.99, with 115 lectures.
You will learn about Understand Core Python Concepts Develop Problem-Solving Skills Master Data Structures and Algorithms Excel in System Design and Architecture Enhance Debugging and Optimization Skills Prepare for Behavioral and Situational Questions Gain Practical Experience Through Mock Interviews Familiarize with Industry-Specific Use Cases Stay Updated with Python Best Practices Build a Portfolio of Python Projects Optimize Your Job Search Strategy Craft a Standout Resume and Cover Letter Craft a Standout Resume and Cover Letter Prepare for Technical Interviews Develop Effective Communication Skills Negotiate Job Offers Prepare for Behavioral Interviews Understand the Python Job Market Build a Professional Portfolio Website Receive and Act on Feedback This course is ideal for individuals who are Aspiring Python Developers or Self-Taught Programmers or Experienced Developers Switching to Python or Intermediate Python Developers or Job Seekers Preparing for Technical Interviews or Students and Bootcamp Graduates or Anyone Seeking to Improve Problem-Solving Skills It is particularly useful for Aspiring Python Developers or Self-Taught Programmers or Experienced Developers Switching to Python or Intermediate Python Developers or Job Seekers Preparing for Technical Interviews or Students and Bootcamp Graduates or Anyone Seeking to Improve Problem-Solving Skills.
Enroll now: Perfect Python Job Interviews
Summary
Title: Perfect Python Job Interviews
Price: $54.99
Number of Lectures: 115
Number of Published Lectures: 109
Number of Curriculum Items: 115
Number of Published Curriculum Objects: 109
Original Price: $199.99
Quality Status: approved
Status: Live
What You Will Learn
- Understand Core Python Concepts
- Develop Problem-Solving Skills
- Master Data Structures and Algorithms
- Excel in System Design and Architecture
- Enhance Debugging and Optimization Skills
- Prepare for Behavioral and Situational Questions
- Gain Practical Experience Through Mock Interviews
- Familiarize with Industry-Specific Use Cases
- Stay Updated with Python Best Practices
- Build a Portfolio of Python Projects
- Optimize Your Job Search Strategy
- Craft a Standout Resume and Cover Letter
- Craft a Standout Resume and Cover Letter
- Prepare for Technical Interviews
- Develop Effective Communication Skills
- Negotiate Job Offers
- Prepare for Behavioral Interviews
- Understand the Python Job Market
- Build a Professional Portfolio Website
- Receive and Act on Feedback
Who Should Attend
- Aspiring Python Developers
- Self-Taught Programmers
- Experienced Developers Switching to Python
- Intermediate Python Developers
- Job Seekers Preparing for Technical Interviews
- Students and Bootcamp Graduates
- Anyone Seeking to Improve Problem-Solving Skills
Target Audiences
- Aspiring Python Developers
- Self-Taught Programmers
- Experienced Developers Switching to Python
- Intermediate Python Developers
- Job Seekers Preparing for Technical Interviews
- Students and Bootcamp Graduates
- Anyone Seeking to Improve Problem-Solving Skills
Are you ready to take your Python career to the next level? Whether you’re a recent graduate, a self-taught programmer, or an experienced developer transitioning to Python, “Perfect Python Job Interviews” is your comprehensive guide to mastering Python and excelling in the job market.
This course is meticulously designed to help you build a standout resume, ace technical and behavioral interviews, negotiate job offers, and thrive in your new role. Our step-by-step approach ensures you gain the skills and confidence needed to succeed in every stage of your job search and career development.
What You’ll Learn:
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Master Core Python Concepts: Solidify your understanding of fundamental and advanced Python programming.
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Solve Coding Challenges: Develop problem-solving skills with hands-on practice in algorithms and data structures.
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Craft a Winning Resume: Create a resume and cover letter that highlight your Python expertise and stand out to recruiters.
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Excel in Technical Interviews: Prepare for coding interviews with mock sessions, whiteboard exercises, and real-world scenarios.
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Develop Effective Communication: Learn how to articulate your thought process and solutions clearly during interviews.
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Understand System Design: Gain insights into designing scalable and efficient systems, a crucial skill for senior roles.
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Prepare for Behavioral Questions: Master the STAR method to answer questions about teamwork, conflict resolution, and more.
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Negotiate Job Offers: Learn strategies to negotiate the best possible job offers and terms of employment.
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Succeed in Your New Role: Get tips and best practices to hit the ground running and excel in your Python developer position.
Who This Course Is For:
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Aspiring Python Developers: Those new to programming or recent graduates seeking their first Python job.
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Self-Taught Programmers: Individuals who have learned Python through online courses or bootcamps.
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Experienced Developers Switching to Python: Professionals proficient in other languages transitioning to Python.
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Intermediate Python Developers: Developers with some experience looking to refine their interview skills.
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Job Seekers: Anyone preparing for Python-related technical interviews.
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Students and Bootcamp Graduates: Those ready to transition from learning to working.
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Problem-Solvers: Individuals looking to improve their coding challenge and algorithmic thinking skills.
Join “Perfect Python Job Interviews” and take the first step towards landing your dream job in Python. With comprehensive lessons, practical exercises, and expert guidance, you’ll be well-prepared to navigate the competitive job market and achieve career success. Enroll now and start your journey to becoming a top-tier Python professional!
Course Curriculum
Chapter 1: Introduction
Lecture 1: Welcome To The Course!
Lecture 2: What Is Python?
Lecture 3: What Are Python’s Key Features?
Lecture 4: Python vs Others
Lecture 5: Why Python?
Lecture 6: Why This Course?
Lecture 7: Who Am I?
Lecture 8: What Are Included In This Course?
Lecture 9: What Were My Frustrations Learning Python?
Lecture 10: Take This Course Now!
Chapter 2: Python Terminology
Lecture 1: Python Terms
Chapter 3: Python Interview Questions – Basic Level
Lecture 1: What Is Python?
Lecture 2: What Are The Key Features Of Python?
Lecture 3: What is PEP 8?
Lecture 4: What are Python's data types?
Lecture 5: Explain the difference between lists and tuples.
Lecture 6: What is the difference between '==' and 'is' in Python?
Lecture 7: What is a lambda function?
Lecture 8: What is the purpose of the `__init__` method in Python?
Lecture 9: Explain the concept of inheritance in Python.
Lecture 10: How do you handle exceptions in Python?
Chapter 4: Python Interview Questions – Intermediate Level
Lecture 1: What are *args and **kwargs in Python, and how are they used?
Lecture 2: What is the difference between a shallow copy and a deep copy?
Lecture 3: How to create a class and how to instantiate an object of that class in Python?
Lecture 4: Explain the difference between @staticmethod and @classmethod
Lecture 5: What are Python's built-in data structures for implementing queues and stacks?
Lecture 6: How to handle exceptions in Python with try, except, else, and finally blocks?
Lecture 7: What is a Python module, and how do you import one?
Lecture 8: Explain the use of the enumerate() function and provide an example
Lecture 9: What is the difference between __str__ and __repr__ methods in a Python class?
Lecture 10: What are list comprehensions? How are they different from generator expressions?
Chapter 5: Python Interview Questions – Advanced Level
Lecture 1: How to implement a Python iterator that generates Fibonacci numbers infinitely?
Lecture 2: What are the difference between `__str__` and `__repr__`? When to use each?
Lecture 3: Can you describe the purpose and usage of Python decorators?
Lecture 4: What is Global Interpreter Lock? How does it affect multi-threaded programs?
Lecture 5: Implement a context manager using both `class` and `@contextmanager` approaches
Lecture 6: When to use shallow copy and when to use deep copy in Python?
Lecture 7: How to handle exceptions gracefully in Python? And what are some best practices?
Lecture 8: Explain the concept of Python's `*args` and `**kwargs` with an example.
Lecture 9: What is Python's garbage collection mechanism? How does it work?
Lecture 10: What are the purpose and usage of `asyncio` module for asynchronous programming?
Chapter 6: Python Interview Questions – Django
Lecture 1: What is Django?
Lecture 2: What are the main features of Django?
Lecture 3: Explain Django's MVT (Model-View-Template) architecture
Lecture 4: How does Django's ORM work?
Lecture 5: What is the purpose of Django's settings.py file?
Lecture 6: Explain the role of middleware in Django.
Lecture 7: How does Django handle form validation?
Lecture 8: What are Django signals and how are they used?
Lecture 9: class-based views (CBVs) vs function-based views (FBVs)
Lecture 10: What is Django REST Framework (DRF) and how does it integrate with Django?
Lecture 11: Describe how to implement authentication in Django.
Lecture 12: How do you optimize Django applications for performance?
Lecture 13: ForeignKey, OneToOneField, and ManyToManyField in Django models
Lecture 14: How do you create a custom Django management command?
Lecture 15: Explain how to handle file uploads in Django.
Lecture 16: How can you implement pagination in Django?
Lecture 17: What is a Django migration?
Lecture 18: How do you create a migration in Django?
Lecture 19: How do you apply migrations in Django?
Lecture 20: What is the purpose of the makemigrations and migrate commands?
Lecture 21: How can you check the status of migrations in Django?
Lecture 22: What is a migration dependency in Django?
Lecture 23: How to handle db schema changes without downtime in production?
Lecture 24: Django data migrations vs schema migrations
Lecture 25: How do you write a custom migration operation in Django?
Lecture 26: Explain the concept of "squashing" migrations in Django.
Lecture 27: How do you reverse a migration in Django?
Lecture 28: What is the purpose of the MIGRATION_MODULES setting in Django?
Lecture 29: How can you handle circular dependencies in Django migrations?
Lecture 30: What are some best practices for managing Django migrations?
Lecture 31: How do you handle merging migrations in Django when working in a team?
Lecture 32: How to do Serialization in Django?
Lecture 33: How to connect the python Django app with MySQL, PostgreSQL and Oracle?
Lecture 34: How to connect the python Flask app with MySQL, PostgreSQL and Oracle?
Lecture 35: How to connect the python FastAPI app with MySQL, PostgreSQL and Oracle?
Chapter 7: Tricky Python Interview Questions
Lecture 1: reverse() vs reverse=True
Chapter 8: Python Naming Conventions
Lecture 1: Python Naming Conventions
Chapter 9: Cracking Python Coding Interviews
Lecture 1: Preparing Python Coding Interviews
Lecture 2: Python Online IDE / Playground / Sandbox
Lecture 3: (Demo) Longest Substring Without Repeating Characters
Lecture 4: (Demo) Resolving Coding Problem With Tuple – Merge Intervals
Lecture 5: (Demo) Resolving Coding Problem With List & Set – Sum Pairs
Lecture 6: (Demo) Resolving Coding Problem With Dictionary – Anagrams
Lecture 7: (Demo) Resolving Coding Problem With Queue
Lecture 8: (Demo) Resolving Coding Problem With Heap
Chapter 10: Propel Python
Lecture 1: Let's Propel Python
Lecture 2: (Demo) Install Python In Windows
Lecture 3: (Demo) Install A Python IDE
Lecture 4: (Demo) Propel Python – A Console App
Instructors
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Brian Su
Senior IT Consultant
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Frequently Asked Questions
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