Learn common algorithm concepts in Python, solve algorithm challenges for interviews, understand Big O Notation, Array Sequences, Dynamic Arrays, and Array Algorithms. The course teaches skills like analyzing arrays, finding common elements, and working with strings. The teaching method includes tutorials and examples. This course is intended for individuals preparing for technical interviews or looking to enhance their algorithmic problem-solving skills in Python.
Overview
Syllabus
) Big O Notation.
) Big O Examples.
) Array Sequences.
) Dynamic Arrays.
) Array Algorithms.
) Largest Sum.
) How to Reverse a String.
) Array Analysis.
) Array Common Elements.
) Minesweeper.
) Frequent Count.
) Unique Characters in Strings.
) Non-Repeat Elements in Array.
Taught by
freeCodeCamp.org
Related Courses
-
Data Structures and Algorithms in Python - Full Course for Beginners
4.6 -
A Practical Guide to Algorithms with JavaScript
-
Algorithmic Thinking (Part 2)
4.4 -
Dynamic Programming with Java – Learn to Solve Algorithmic Problems & Coding Challenges
-
10 Common Coding Interview Problems - Solved!
-
JavaScript: Coding Challenge Bootcamp
