Python Programming for Begineers
Python Programming for Begineers, available at $44.99, has an average rating of 4.55, with 37 lectures, based on 546 reviews, and has 26810 subscribers.
You will learn about Python Programming for Machine Learning This course is ideal for individuals who are Students, who want to learn Python Programming to get into Data Science or Machine Learning It is particularly useful for Students, who want to learn Python Programming to get into Data Science or Machine Learning.
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Summary
Title: Python Programming for Begineers
Price: $44.99
Average Rating: 4.55
Number of Lectures: 37
Number of Published Lectures: 37
Number of Curriculum Items: 37
Number of Published Curriculum Objects: 37
Original Price: $19.99
Quality Status: approved
Status: Live
What You Will Learn
- Python Programming for Machine Learning
Who Should Attend
- Students, who want to learn Python Programming to get into Data Science or Machine Learning
Target Audiences
- 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…
Course Curriculum
Lecture 1: Introduction
Lecture 2: Installation of Anaconda
Lecture 3: Jupyter Notebook Basics
Chapter 1: Python Programming
Lecture 1: Arithmetic Operators
Lecture 2: Comparison or Relational Operators
Lecture 3: Logical or Boolean Operators
Lecture 4: Bitwise Operators
Lecture 5: Assignment Operators
Lecture 6: Special Operators
Lecture 7: Math using 'math' library
Lecture 8: Variables
Lecture 9: Data Types
Lecture 10: Typecasting
Lecture 11: Booleans
Lecture 12: Strings
Lecture 13: Special Characters in a String !!!
Lecture 14: How to Split and Strip a String ???
Lecture 15: Introduction to Lists
Lecture 16: Lists Slicing and Reverse Order !!!
Lecture 17: Kinds of Lists
Lecture 18: Concatenate Strings Using join()
Lecture 19: How to add two Lists ???
Lecture 20: Introduction to Dictionary
Lecture 21: Dictionary & It's Methods
Lecture 22: Nested Dictionary
Lecture 23: Create Dictionary using zip()
Lecture 24: Tuples
Lecture 25: Sets
Lecture 26: if…elif….else
Lecture 27: while loop
Lecture 28: range() method
Lecture 29: for loop
Lecture 30: Reserve Keywords
Lecture 31: Builtin Functions
Lecture 32: User Defined Functions
Lecture 33: Anonymous or Lambda Functions
Lecture 34: File IO Operations
Instructors
-
Arunachala Damodar
Machine Learning Engineer and SQL Server DBA by Profession
Rating Distribution
- 1 stars: 22 votes
- 2 stars: 18 votes
- 3 stars: 100 votes
- 4 stars: 235 votes
- 5 stars: 171 votes
Frequently Asked Questions
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