Learn Python Programming | Python Programming - Step by Step | Python for Beginners | Edureka
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The document outlines key aspects of Python programming, including its easy learning curve, support for various programming paradigms, and numerous libraries such as NumPy, Pandas, Matplotlib, and Seaborn. It emphasizes the advantages of using Python, like portability and high-level features, while also providing guidance on using Jupyter for development. Additionally, it briefly covers data types in Python and the functionality of major libraries for scientific computing and data analysis.
Learn Python Programming | Python Programming - Step by Step | Python for Beginners | Edureka
- 1. Copyright © 2017, edureka and/or its affiliates. All rights reserved.
- 2. Copyright © 2017, edureka and/or its affiliates. All rights reserved. Agenda Why you should go for python programming? Introduction to Python programming How to work with Jupyter? Python programming fundamentals Libraries: NumPy, Pandas, matplotlib & seaborn 1 2 3 4 5 6
- 3. Copyright © 2017, edureka and/or its affiliates. All rights reserved. Why should you go for Python programming? Python
- 4. Copyright © 2017, edureka and/or its affiliates. All rights reserved. Introduction to Python programming
- 5. Copyright © 2017, edureka and/or its affiliates. All rights reserved. Introduction to Python programming Python was created by Guido Van Rossum in 1989 and is very easy to learn Python supports procedure-oriented programming as well as object-oriented programming Python is an interpreted language with dynamic semantics Hello Hello Python
- 6. Copyright © 2017, edureka and/or its affiliates. All rights reserved. Features of Python programming PortableHigh-level Language Easy, Free & Open SourceExtensible
- 7. Copyright © 2017, edureka and/or its affiliates. All rights reserved. Who is using Python?
- 8. Copyright © 2017, edureka and/or its affiliates. All rights reserved. Companies using Python
- 9. Copyright © 2017, edureka and/or its affiliates. All rights reserved. How to work with Jupyter?
- 10. Copyright © 2017, edureka and/or its affiliates. All rights reserved. How to work with Jupyter? Go to the link: www.jupyter.org Click on “Install the Notebook” 1 2
- 11. Copyright © 2017, edureka and/or its affiliates. All rights reserved. Operators in Python programming
- 12. Copyright © 2017, edureka and/or its affiliates. All rights reserved. Operators in Python OPERATORS
- 13. Copyright © 2017, edureka and/or its affiliates. All rights reserved. Data Types in Python programming
- 14. Copyright © 2017, edureka and/or its affiliates. All rights reserved. Data Types in Python Programming Immutable Value assigned to a data type cannot be changed. Numbers Strings Tuples Value assigned to a data type can be changed. Mutable Lists Dictionary Sets
- 15. Copyright © 2017, edureka and/or its affiliates. All rights reserved. Libraries in Python Numpy, Pandas, Matplotlib & seaborn
- 16. Copyright © 2017, edureka and/or its affiliates. All rights reserved. Libraries in Python: NumPy NumPy is a Python package which stands for ‘Numerical Python’. It is the core library for scientific computing, which contains a powerful n-dimensional array object, provide tools for integrating C, C++ etc. Conda install numpy pip install numpy OR
- 17. Copyright © 2017, edureka and/or its affiliates. All rights reserved. Libraries in Python: Pandas Pandas is an open source library built on top of NumPy. It is used for data manipulation and analysis. Pandas is well suited for different kinds of data. Conda install pandas pip install pandas OR
- 18. Copyright © 2017, edureka and/or its affiliates. All rights reserved. Libraries in Python: Matplotlib Matplotlib is a plotting library used for 2D graphics in python programming language. It can be used in python scripts, shell, web application servers and other graphical user interface toolkits. Bar Graph Histogram Scatter Plot Area Plot Pie Plot
- 19. Copyright © 2017, edureka and/or its affiliates. All rights reserved. Libraries in Python: Seaborn Seaborn is a statistical plotting library in python programming language. It has beautiful default styles and it also works well with pandas Data frame objects. DIST plot Joint plot Pair plot Rug plot Seaborn 1 2 3 4
- 20. Copyright © 2017, edureka and/or its affiliates. All rights reserved. Session In A Minute Why Python? Work with JupyterIntroduction to Python Hello Hello Python Operators LibrariesDatatypes in Python Mutable Immutable
- 21. Copyright © 2017, edureka and/or its affiliates. All rights reserved.