Python For Deep Learning - I | Python Basics | Python Tutorial | Python Training | Edureka Live

Aug 4, 20177 likes829 views

In this tutorial, we will be covering all the fundamentals of Python required for implementing deep learning models. Below are the topics we will cover in this tutorial: 1. What is Python? 2. Variables, Data Types, Operators 3. Conditional Statements, Loops, Functions 4. Pandas, Numpy and Matplotlib

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Python Use-Case
Let’s see what we will implement in this session

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Python Use-Case
You have been hired by WHO, and your task is to analyze the pattern in
life-expectancy for every country of the world from (1960-2012).

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Why Are We Doing This
Let’s understand the importance of this use-case

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Python Use-Case
Healthy Diet
Social Conditions
Regular Exercise
Vaccination
Economic Conditions

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What Is Python?
Let’s understand what is Python?

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What Is Python?
Python is an interpreted, object-oriented, high-level programming language with dynamic
semantics
Procedure
Oriented
Object
Oriented
Easy to
Learn
High Level
Language

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Python Code-Basics
Now is the time to understand Pyhon code-basics

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Python Variables
Variables are nothing but reserved memory locations to store values. This means that when you create
a variable you reserve some space in memory.
C=‘edureka’
A = 16
B = 20
C = ‘edureka’
B=20
A=16
Memory

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Python Data-Types
Numeric
List
Tuple
Strings
Set
Dictionary

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Python Operators
Identity
Operators
Membership
Operators
Comparison
Operators
Arithmetic
Operators
Assignment
Operators
Logical
Operators
Bitwise
Operators Operators

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Conditional Statements

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Loops
Start
Conditional Code
Condition
If condition is false
If condition is true
End

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Functions
Functions are a convenient way to divide your code into useful blocks, allowing us to order our code,
make it more readable, reuse it and save some time.

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Numpy, Pandas, Matplotlib
Let’s look at some useful Python libraries

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Python Numpy
• Numpy is the core library for scientific computing in Python.
• It provides a high-performance multidimensional array object, and tools for working with these
arrays.

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Matplotlib
Matplotlib is a Python package used for 2D graphics

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Pandas
Pandas is a software library written for the Python programming language for data manipulation
and analysis.

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Use-Case Implementation
Let’s see how to implement the use-case

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Implementation Of The Use-Case

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Session In A Minute
Python Use-Case What is Python?
Python Code-Basics Implementation Of The Use-Case

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3. Copyright © 2017, edureka and/or its affiliates. All rights reserved. Python Use-Case You have been hired by WHO, and your task is to analyze the pattern in life-expectancy for every country of the world from (1960-2012).

7. Copyright © 2017, edureka and/or its affiliates. All rights reserved. What Is Python? Python is an interpreted, object-oriented, high-level programming language with dynamic semantics Procedure Oriented Object Oriented Easy to Learn High Level Language

9. Copyright © 2017, edureka and/or its affiliates. All rights reserved. Python Variables Variables are nothing but reserved memory locations to store values. This means that when you create a variable you reserve some space in memory. C=‘edureka’ A = 16 B = 20 C = ‘edureka’ B=20 A=16 Memory

11. Copyright © 2017, edureka and/or its affiliates. All rights reserved. Python Operators Identity Operators Membership Operators Comparison Operators Arithmetic Operators Assignment Operators Logical Operators Bitwise Operators Operators

14. Copyright © 2017, edureka and/or its affiliates. All rights reserved. Functions Functions are a convenient way to divide your code into useful blocks, allowing us to order our code, make it more readable, reuse it and save some time.

16. Copyright © 2017, edureka and/or its affiliates. All rights reserved. Python Numpy • Numpy is the core library for scientific computing in Python. • It provides a high-performance multidimensional array object, and tools for working with these arrays.

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