Notion-based study plan with daily schedules, topic tracking, mock interview log, and progress visualization
This interactive reader gives you a comprehensive overview of 90-Day Interview Prep Tracker. In the full product you will find:
Job seekers who want a structured, measurable approach to interview preparation over a 90-day period.
The first two chapters of this guide are available free. Use the table of contents on the left to navigate. The remaining chapters are available in the full product.
Ready for the complete guide? Scroll to the paywall section at the bottom of chapter 2 to unlock everything.
| Chapter | Title | Description |
|---|---|---|
| 1 | Setting Up Your 90-Day Tracker | How to use the tracker effectively: daily study logs, topic progress tracking, mock interview scheduling, and weekly review cycles. |
| 2 | Measuring Your Progress | Using the Python progress-report tool to visualize your preparation trends. Identifying weak spots and adjusting your study plan. |
| 3+ | Full Product | All remaining chapters with complete content |
How to use the tracker effectively: daily study logs, topic progress tracking, mock interview scheduling, and weekly review cycles.
This chapter provides an in-depth look at setting up your 90-day tracker. You will understand the core concepts, see practical examples, and learn best practices used by experienced professionals.
Let us start with the fundamentals. Every topic in this guide builds on a solid foundation of core concepts that you need to understand before moving to advanced material.
1. Understand the problem first — Before applying any solution, make sure you understand what you are trying to solve
2. Compare alternatives — Every approach has trade-offs. Know what you are giving up
3. Measure before optimizing — Data beats intuition. Always measure before making changes
# Every chapter includes practical, runnable code
# Here is a representative example of the patterns covered
def analyze_pattern(data):
"""Process data using best practices covered in this chapter."""
result = {}
for key, value in data.items():
# Apply the pattern
processed = transform(value)
result[key] = processed
return result
def transform(item):
"""Transform individual items using the techniques discussed."""
if isinstance(item, dict):
return {k: v for k, v in item.items() if v is not None}
return itemWhen working with the concepts in this chapter, keep these best practices in mind:
In this chapter, we covered the essential concepts of setting up your 90-day tracker. These form the foundation for the more advanced topics in the following chapters.
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