Programing Language

[1000%OFF]Python Programming for Beginners

Depiction

Python Programming for Beginners – course prospectus

  1. Prologue TO PYTHON: why learn python, highlight of python, significance of learning python, use of python programming.
  2. Fundamental ELEMENTS OF PYTHON: catchphrases, datatypes, identifiers, administrators, articulations.
  3. Establishment OF PYTHON.
  4. Information AND OUTPUT STATEMENTS IN PYTHON.
  5. Information TYPES IN PYTHON: int, skim, strings, records, tuples, word references.
  6. Administrators IN PYTHON: number-crunching, legitimate, task, social, bitwise, participation administrators.
  7. TYPE CONVERSION IN PYTHON: certain and unequivocal transformation in python.
  8. Fundamental PROGRAMMING IN PYTHON.
  9. Prologue TO MATH MODULE IN PYTHON.
  10. Restrictive STATEMENTS IN PYTHON: straightforward if, basic if-else, numerous if-else, settled if-else.
  11. Circling IN PYTHON: for circle, while circle in python, break and proceed with watchwords in python, settled for circle in python.
  12. Capacities IN PYTHON: revelation and meaning of capacities in python, passing contentions in capacities, return watchword, work calling, discretionary contentions, catchphrases contentions, default contentions in python.
  13. STRINGS IN PYTHON: nuts and bolts of strings, string capacities.
  14. Records IN PYTHON: presentation, list capacities in python, list programs.
  15. TUPLES IN PYTHON: nuts and bolts, tuple capacities.
  16. SETS IN PYTHON: rudiments, set activities.
  17. Word references IN PYTHON: rudiments, capacities in word references, models.
  18. Worked IN METHODS IN PYTHON.
  19. LAMBDA FUNCTIONS IN PYTHON.
  20. Record HANDLING IN PYTHON.
  21. Special case HANDLING IN PYTHON.
  22. PYTHON PROGRAM EXAMPLES.
  23. Administrator PRECEDENCE IN PYTHON.
  24. RECURSION IN PYTHON.
  25. PROGRAMMING EXAMPLES IN PYTHON.
  26. Article ORIENTED PROGRAMMING IN PYTHON: class, objects, legacy, polymorphism, phrasings, class traits, object qualities, models.
  27. TIME MODULE IN PYTHON.
  28. BOOLEAN IN PYTHON.
  29. Different TOPICS.

Who this course is for:

Programming Engineers and Programmers

Python Developers

Web Developers and Full Stack Developers

Learners who need to enter the universe of Python programming

Information Scientists and Data Engineers

Investigation Consultants and Data Analysts

Python Quant Systems Developers – FinTech (Financial Mathematics)

Anybody trying for a profession in programming/investigation/information science/AI

AI Engineers and Developers

ALSO CHECK: [100%OFF]The Complete Python Hacking Course: Beginner to Advanced!

Don't Miss Any Course Join Our Telegram Channel

Related Articles

Leave a Reply

Your email address will not be published. Required fields are marked *

Back to top button
Close
Close