This document provides an introduction to basics of Python and machine learning. It compares Python to C, outlines basic Python data types like numbers, strings, lists and dictionaries. It also describes key Python features like lack of semicolons and type definitions. The document then discusses common uses of Python in areas like web development, data science, scraping and machine learning. It introduces machine learning, artificial intelligence and deep learning concepts before concluding with a note on coding and additional resources.

1. Basics of Python and Intro to Machine
Learning (AI)
~Manish Maharjan
Supported By:
DN:AI Developers Nepal

2. Python vs C

3. Python Vs C

4. Basic Data/Variable Types
Numbers Eg : a=1
String Eg: name=”manish”
List Eg: a=[1,2,3,10]
Tuple Eg : a = (1,2,3,10)
Dictionary Eg : tinydict = {'name':
'john','code':6734, 'dept': 'sales'}

5. Features of Python
No semi-colon (;)
No curly braces { }
Hashtag is used for commenting #comments
No need to define datatypes
Eg : a = “name” , a=10 ,a = [1,2,3,7]

6. Where is Python used?
Web Development (Django,Flask Framework)
Data Science (BigData, Data Visualizaton)
Web/Data Scraping
Machine Learning (AI) in TensorFlow , Keras

7. Intro to Machine Learning(AI)

8. AI vs ML vs DL

9. Building Blocks of AI

11. Lets code!
More resources:
github.com/patanitclub
github.com/aidevnepal