Perfect Python Job Interviews (Learn to Build a Standout Resume and Ace your Interviews)

Are you ready to enhance your Python occupation? Regardless if you are a fresher who has just completed college, a programmer who learned Python independently, or a developer moving from another language to Python, “Perfect Python Job Interviews’ is a perfect guide to help you excel in using this language and land you a job. This course enables you to create an exceptional resume, triumph in technical and behavioral interviews, sign better contracts, and perform well at your place of work. This organized method helps to build the necessary skills and confidence for each job search and/or stage in one’s career.

In this course, there are Perfect Python Job Interviews where you will strengthen your knowledge and skills in key features of Python, discover how to solve many program difficulties and create an attention-provoking resume for getting a call from the recruiters. Suggested practical rehearsal for technical interviews includes practice sessions, whiteboard collaboration, and real and simulated case studies, and language skills will be needed to explain the proposed solution. Moreover, clarifying the principles of creating scalable and efficient systems that are significant for senior positions and becoming familiarized with the STAR approach to answering behavioral questions about teamwork and conflicts will be useful.

“Perfect Python Job Interviews” is perfect for junior developers, people who learned Python and want to go to a new level, developers who switched to Python, or intermediate developers who seek job interview improvement. It will be especially helpful for those desperately looking for a job, students seeking internships, graduates of boot camps, and those who want to be better at solving necessary coding challenges. Come and sign up to learn Python exercises and start the process of getting your dream job.

Perfect Python Job Interviews Table of Contents:

1. Welcome to the Course! - 00:09
2. What is Python? - 01:55
3. What are Python's Key Features? - 03:37
4. Python vs Others - 05:07
5. Why Python? - 05:40
6. Why This Course? - 02:58
7. Who Am I? - 02:03
8. What is Included in This Course? - 02:14
9. My Frustrations Learning Python - 04:03
10. Take This Course Now! - 01:09
11. Python Terms - 04:32
12. What Is Python? - 00:24
13. What Are The Key Features Of Python? - 01:03
14. What is PEP 8? - 01:08
15. What are Python's Data Types? - 01:17
16. Lists vs Tuples - 00:59
17. '==' vs 'is' in Python - 00:56
18. Lambda Functions - 00:47
19. The __init__ Method - 01:01
20. Inheritance in Python - 01:24
21. Exception Handling - 01:18
22. Using *args and **kwargs - 00:59
23. Shallow Copy vs Deep Copy - 01:08
24. Creating Classes and Objects - 00:57
25. @staticmethod vs @classmethod - 01:19
26. Built-in Data Structures for Queues and Stacks - 00:40
27. Exception Handling with try, except, else, and finally - 01:20
28. Python Modules and Imports - 01:20
29. The enumerate() Function with Example - 01:01
30. __str__ vs __repr__ - 01:02
31. List Comprehensions vs Generator Expressions - 01:26
32. Implementing an Infinite Fibonacci Iterator - 00:20
33. Python Decorators - 01:08
34. Global Interpreter Lock and Multi-threading - 01:31
35. Context Managers with class and @contextmanager - 01:06
36. Shallow Copy vs Deep Copy Usage - 01:26
37. Graceful Exception Handling Best Practices - 01:26
38. *args and **kwargs Examples - 01:10
39. Python's Garbage Collection Mechanism - 01:41
40. Asynchronous Programming with asyncio - 01:19
41. Python Naming Conventions - 03:58
42. Preparing for Python Coding Interviews - 04:43
43. Python Online IDE / Playground / Sandbox - 02:25
44. (Demo) Longest Substring Without Repeating Characters - 09:22
45. (Demo) Merge Intervals - 09:41
46. Python UI Frameworks - 03:28
47. Python DB Frameworks - 05:12
48. Python REST API Frameworks - 04:18
49. Python Testing Frameworks - 04:12
50. Python Data Science Frameworks - 07:45
51. Python AI Frameworks - Machine Learning - 08:22
52. Python AI Frameworks - Deep Learning - 07:18
53. Python AI Frameworks - Natural Language Processing - 07:52
54. Python AI Frameworks - Large Language Models - 07:04
55. Congratulations On Completing This Course! - 00:54
56. Bonus Lecture - More to Come! - 01:35

Who is this course for?

1. New Python Developers
2. Self-Taught Coders
3. Developers Moving to Python for High-end Programs
4. Mid-Level Python Developers
5. Before I begin the detailed description of technical interviews, I must mention what job seekers should do to prepare for them.
6. Students and Bootcamp Graduates
7. Those Who Desire to Tighten Up Problem-Solving Dominion

Click on the links below to Download Perfect Python Job Interviews!