Coding Interview Prep for Senior Engineers in Python

Overview

Discover and understand key elements of Python programming that are critical in managing and manipulating industry-level data. You'll learn to handle large data streams while manipulating data in various formats such as JSON and CSV.

Syllabus

Course 1: Python Classes Basics Revision
Course 2: Mastering Complex Data Structures in Python
Course 3: Applying Advanced Data Structures on Practice
Course 4: Projection, Filtering, and Aggregation of Data Streams
Course 5: Practicing Intermediate Implementation and Data Streams

Courses

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3 hours
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This course introduces the foundational concepts of Python classes and objects, focusing on implementing basic code structures and OOP concepts, as well as dealing with common edge cases.
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3 hours
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In this course you will expand your knowledge of Python's more advanced features, including comprehensive data structures like dictionaries, sets, and tuples, as well as nesting these data structures together, which are crucial for managing more complex data efficiently.
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3 hours
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You will apply your knowledge on Python's more advanced features, including comprehensive data structures like dictionaries, sets, tuples, and nested lists on practice. Solving practice challenges will help to master the skills you have just revised.
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3 hours
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Focusing on data manipulation operations, this course teaches how to perform data projection, filtering, and aggregation using Python without needing advanced external libraries. You will learn how to use both procedural and functional programming techniques when applying filtering and aggregation on the data stream.
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2 hours
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This course reinforces the principles learned in previous courses through hands-on practice with intermediate-level Python codes and data stream manipulations, finalizing preparation for industry-level data handling tasks.