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Sunday, August 2, 2020

Python Programming for Beginners [Free 100% off premium Udemy course coupon code]

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Python Programming for Beginners

Start from scratch and enter the world of Python programming, Analytics & Data Science with this in-depth Python course.

What you'll learn?

  • Installation of Python
  • Python Programs and Programming Examples in Python
  • Operator Precedence in Python
  • Built-in Methods, Lambda Functions in Python
  • Basic Programming in Python
  • Data Types and Operators in Python
  • Lists, Tuples, Sets, Dictionaries in Python
  • File Handling, Exception Handling in Python
  • Operators, Functions, Strings in Python
  • Introduction to Math Module in Python
  • Recursion in Python
  • Conditional Statements and Looping in Python
  • Miscellaneous Topics
  • Object Oriented Programming in Python
  • Type Conversion in Python
  • Input and Output Statements in Python
  • Get started with Python Programming from Scratch
  • Basic Elements of Python
  • Introduction to Python
  • Time Module, Boolean in Python

Requirements and What you should know?

  • Enthusiasm and determination to make your mark on the world!

Who is this course for?

  • Machine Learning Engineers and Developers
  • Python Developers
  • Beginners who want to enter the world of Python programming
  • Python Quant Systems Developers - FinTech (Financial Mathematics)
  • Anyone aspiring for a career in programming / analytics / data science / machine learning
  • Software Engineers and Programmers
  • Analytics Consultants and Data Analysts
  • Data Scientists and Data Engineers
  • Web Developers and Full Stack Developers

What is this course about?

Python Programming for Beginners - course syllabus


1. INTRODUCTION TO PYTHON: why learn python, feature of python, importance of learning python, application of python programming.

2. BASIC ELEMENTS OF PYTHON: keywords, datatypes, identifiers, operators, statements.

3. INSTALLATION OF PYTHON.

4. INPUT AND OUTPUT STATEMENTS IN PYTHON.

5. DATA TYPES IN PYTHON: int, float, strings, lists, tuples, dictionaries.

6. OPERATORS IN PYTHON: arithmetic, logical, assignment, relational, bitwise, membership operators.

7. TYPE CONVERSION IN PYTHON: implicit and explicit conversion in python.

8. BASIC PROGRAMMING IN PYTHON.

9. INTRODUCTION TO MATH MODULE IN PYTHON.

10. CONDITIONAL STATEMENTS IN PYTHON: simple if, simple if-else, multiple if-else, nested if-else.

11. LOOPING IN PYTHON: for loop, while loop in python, break and continue keywords in python, nested for loop in python.

12. FUNCTIONS IN PYTHON: declaration and definition of functions in python, passing arguments in functions, return keyword, function calling, arbitrary arguments, keywords arguments, default arguments in python.

13. STRINGS IN PYTHON: basics of strings, string functions.

14. LISTS IN PYTHON: introduction, list functions in python, list programs.

15. TUPLES IN PYTHON: basics, tuple functions.

16. SETS IN PYTHON: basics, set operations.

17. DICTIONARIES IN PYTHON: basics, functions in dictionaries, examples.

18. BUILT-IN METHODS IN PYTHON.

19. LAMBDA FUNCTIONS IN PYTHON.

20. FILE HANDLING IN PYTHON.

21. EXCEPTION HANDLING IN PYTHON.

22. PYTHON PROGRAM EXAMPLES.

23. OPERATOR PRECEDENCE IN PYTHON.

24. RECURSION IN PYTHON.

25. PROGRAMMING EXAMPLES IN PYTHON.

26. OBJECT ORIENTED PROGRAMMING IN PYTHON: class, objects, inheritance, polymorphism, terminologies, class attributes, object attributes, examples.

27. TIME MODULE IN PYTHON.

28. BOOLEAN IN PYTHON.

29. MISCELLANEOUS TOPICS.

course-id:ffe6f067-f280-499f-98f2-abaf592d1fef
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Sunday, August 2, 2020

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