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

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

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

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  1. Copyright © 2017, edureka and/or its affiliates. All rights reserved.

  2. Python Use-Case Let’s see what we will implement in this session Copyright © 2017, edureka and/or its affiliates. All rights reserved.

  3. 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). Copyright © 2017, edureka and/or its affiliates. All rights reserved.

  4. Why Are We Doing This Let’s understand the importance of this use-case Copyright © 2017, edureka and/or its affiliates. All rights reserved.

  5. Python Use-Case Healthy Diet Social Conditions Vaccination Regular Exercise Economic Conditions Copyright © 2017, edureka and/or its affiliates. All rights reserved.

  6. What Is Python? Let’s understand what is Python? Copyright © 2017, edureka and/or its affiliates. All rights reserved.

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

  8. Python Code-Basics Now is the time to understand Pyhon code-basics Copyright © 2017, edureka and/or its affiliates. All rights reserved.

  9. 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. A=16 A = 16 B = 20 C = ‘edureka’ Memory B=20 C=‘edureka’ Copyright © 2017, edureka and/or its affiliates. All rights reserved.

  10. Python Data-Types List Strings Dictionary Tuple Set Numeric Copyright © 2017, edureka and/or its affiliates. All rights reserved.

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

  12. Conditional Statements Copyright © 2017, edureka and/or its affiliates. All rights reserved.

  13. Loops Start Conditional Code If condition is true Condition If condition is false End Copyright © 2017, edureka and/or its affiliates. All rights reserved.

  14. 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. Copyright © 2017, edureka and/or its affiliates. All rights reserved.

  15. Numpy, Pandas, Matplotlib Let’s look at some useful Python libraries Copyright © 2017, edureka and/or its affiliates. All rights reserved.

  16. 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. • • Copyright © 2017, edureka and/or its affiliates. All rights reserved.

  17. Matplotlib Matplotlib is a Python package used for 2D graphics Copyright © 2017, edureka and/or its affiliates. All rights reserved.

  18. Pandas Pandas is a software library written for the Python programming language for data manipulation and analysis. Copyright © 2017, edureka and/or its affiliates. All rights reserved.

  19. Use-Case Implementation Let’s see how to implement the use-case Copyright © 2017, edureka and/or its affiliates. All rights reserved.

  20. Implementation Of The Use-Case Copyright © 2017, edureka and/or its affiliates. All rights reserved.

  21. Session In A Minute Python Use-Case What is Python? Python Code-Basics Implementation Of The Use-Case Copyright © 2017, edureka and/or its affiliates. All rights reserved.

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