Python Programming for Begineers
Arunachala Damodar
2:36:28
Description
A Prerequisite for Learn Machine Learning
What You'll Learn?
- Python Programming for Machine Learning
Who is this for?
What You Need to Know?
More details
DescriptionPython 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
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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Arunachala Damodar
Instructor's Courses
Udemy
View courses Udemy- language english
- Training sessions 37
- duration 2:36:28
- English subtitles has
- Release Date 2023/12/16