MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch

Genre: eLearning | Language: English + .srt | Duration: 88 lectures (30h 45m) | Size: 7.4 GB

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

What you'll learn:

Get started with Python Programming from Scratch

Introduction to Python

Basic Elements of Python

Installation of Python

Input and Output Statements in Python

Data Types and Operators in Python

Operators, Functions, Strings in Python

Type Conversion in Python

Basic Programming in Python

Introduction to Math Module in Python

Conditional Statements and Looping in Python

Lists, Tuples, Sets, Dictionaries in Python

Built-in Methods, Lambda Functions in Python

File Handling, Exception Handling in Python

Python Programs and Programming Examples in Python

Operator Precedence in Python

Recursion in Python

Object Oriented Programming in Python

Time Module, Boolean in Python

Miscellaneous Topics

Requirements

Enthusiasm and determination to make your mark on the world!

Description

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.

Who this course is for

Software Engineers and Programmers

Python Developers

Web Developers and Full Stack Developers

Beginners who want to enter the world of Python programming

Data Scientists and Data Engineers

Analytics Consultants and Data Analysts

Python Quant Systems Developers - FinTech (Financial Mathematics)

Anyone aspiring for a career in programming / analytics / data science / machine learning

Machine Learning Engineers and Developers