Python Programming for Begineers

A Prerequisite for Learn Machine Learning

What you'll learn
Python Programming for Machine Learning
Requirements
Some basic knowledge in Programming concepts like Writing Conditional Statements, Loops, etc.,
Description
Python Programming Concepts like
- Operators (Arithmatic, Boolean, Bitwise, etc.,)
- Math Library (Addition, Subtration, Logarithmic, etc.,)
- Variables (Declaration, Assignment, Overwrite, etc.,)
- Dynamic Types (How to change variable datatype on fly)
- Data Types (Integer, Float, Strings, etc.,)
- Type Casting (Convert from one datatype to another)
- Data Types Changes
- Strings (Characters, Strings or Text data)
- Boolean (True or False)
- Special Characters in a String
- Split and Strip Methods (Split a string or strip a string)
- Introduction to Lists (Data Structure)
- Lists Slicing (Get a chunk of the data)
- Lists - Built in Functions (Insert, Delete values)
- String and Boolean Lists (List containing only Strings, Boolean values, etc.,)
- Concatenate Strings Using Join Method (Concatenate two characters or strings using Join method)
- Mixed Lists (Mixed datatype values in a List)
- Add Two Lists (Combine two lists)
- Nested Lists (List inside another List)
- Introduction to Dictionary (Key / Value Pair Data Structure in Python)
- Dictionary & It's Methods (Available built-in methods in Python for Dictionary)
- Nested Dictionary (Dictionary inside another Dictionary)s
- Create Dictionary using Zip Method (Combine 2 Lists to create a Dicationary)
- Sets (Another form of Data Structure that doesn't allow Duplicates)
- Tuples
- If…Else..If Condition
- While Loop
- Range Method
- For Loop with Example
- While Loop with Example
- Lambda / Anonymous Function
- Reserved Keywords
- User defined functions
- File IO Operations
- ………..Lot More…
Who this course is for:
Students, who want to learn Python Programming to get into Data Science or Machine Learning


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