Course
Computer Science
Software Development
Python
Continuing Education

NCLab Python Development 5 Certificate: Logic, Systems and Functional Programming (Learn-by-doing, 24/7, Online, Self-Paced, Gamified, Real-Time Instructional Support)

0 credit hours

Credits awarded upon completion

Self-Paced

Progress at your own speed

40 hours

Estimated learning time

About the Course

Description

Python Development 5 (NCLab) Logic, Systems, and Functional Programming: This is an online, self-paced, learn-by-doing course that advances Learners’ understanding of programming logic, number systems, and functional techniques in Python. The course begins with the fundamentals of binary, octal, and hexadecimal systems, including conversions, bitwise operations, and Boolean logic—essential knowledge for systems-level thinking and PCEP exam preparation. Learners then progress into intermediate Python concepts such as recursion, variadic and lambda functions, custom iterators, and generator expressions. The course also covers advanced built-in functions (e.g., map, filter, reduce, eval, exec), mutability, deep vs. shallow copies, and exception handling. By the end, Learners are equipped to write optimized, flexible code and reason clearly about program flow and structure.

Topics

  • Numerical Systems and Base Conversions
  • Binary Arithmetic and Bitwise Operations
  • Recursion and List Flattening
  • Advanced Function Techniques
  • Iterables, Iterators, and Generators
  • Functional Programming Tools
  • Mutability and Copying Techniques.

Prerequisites

  • The REQUIRED prerequisite for this Course is NCLab's Python Development 4.

Sections

Schedule

Asynchronous

Delivery method

Online

Deliverables

  • 0 Credits

    Academic Excellence

    Earn necessary number of credit hours for completing this content

  • Professional Program

    Launch of Career

    Python Development 5 Completion Certificate

Outcomes

Upon completion, you'll have skills and knowledge on the following topics: Numerical Systems and Base Conversions; Binary Arithmetic and Bitwise Operations; Recursion and List Flattening; Advanced Function Techniques; Iterables, Iterators, and Generators; Functional Programming Tools; Mutability and Copying Techniques.

Outcomes Image

Similar Course