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Python Introduction its a oop language and easy to use

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This document provides an introduction to Python and data visualization using Python. It discusses that Python is a high-level, interpreted, interactive and object-oriented scripting language used for software, website and app development. It then covers why Python is easy to learn and maintain, and has a broad standard library. The document lists different Python versions and popular Python IDEs. It also introduces basic Python programs, data types, operators, functions, conditional statements, loops, lists, tuples, dictionaries, and concludes with examples of data visualization using Matplotlib and collecting historical stock data for visualization.

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Python Introduction with Data Visualization
What Are the Top Programming Languages? Image: IEEE Spectrum Interactive Ranking (2017) 2
What is Python? • Python is a high-level, interpreted, interactive and object-oriented scripting language for software, website and app development. It is also known as Beginner’s Language. • It uses English keywords frequently where as other languages use punctuation, and it has fewer syntactical constructions than other languages. • Python is designed to be highly readable. • Rapid Application Development • Relatively simple and easy to learn • reduces the cost of program maintenance and development • Freely Available
Why Python? • Easy-to-learn • Easy-to-maintain • A broad standard library • Portable & Extendable • Database Connectivity • GUI Programming • Graphical Programming • Supports OOPs Concepts • Platform Independent • Data Visualization
Version List of Python • Python 3.7, documentation released on 27 June 2018. • Python 3.6, documentation released on 23 December 2016. • Python 3.5, documentation released on 13 September 2015. • Python 3.4, documentation released on 16 March 2014. • Python 3.3, documentation released on 29 September 2012. • Python 3.2, documentation released on 20 February 2011. • Python 3.1, documentation released on 27 June 2009. • Python 3.0, documentation released on 3 December 2008. • Python 2.7, documentation released on 4 July 2009. • Python 2.0, documentation released on 16 October 2000. • Python 1.4, documentation released on 25 October 1996.
Python IDE’s Name Platform Updated Thonny Windows, Linux, Mac OS 2017 LiClipse Windows, Linux, Mac OS 2015 PyCharm Windows, Linux, Mac OS 2014 Komodo Windows, Linux, Mac OS 2012 NetBeans Windows, Linux, Mac OS 2009 Integrated Development and Learning Environment (IDLE) Windows, Linux, Mac OS 2009 and many more.
Basic Programs in C Language • Print “Hello” • Add Two Number
Basic Programs in C++ Language • Print “Hello” • Add Two Number
Basic Programs in Java • Print “Hello” • Add Two Number
Basic Programs in Python • Print “Hello” • Add Two Number
Working with Python Contd.
Working with Python Contd.
Working with Python Contd.
Standard Data Types • Number • String • List • Tuple • Dictionary • Del
Standard Data Types Contd.
String
Operators
input function • It is used to input value through keyboard. • The input of the user will be interpreted. If the user puts in an integer value, the input function returns this integer value. If the user on the other hand inputs a list, the function will return a list.
Decision Making (Conditional Statement)
Conditional Statement Contd.
Decision Making (Looping Statement)
List
List Contd.
Tuple
Tuple Contd.
Dictionary
Dictionary Contd. Designed By: Priyank Gupta
User Defined Functions Designed By: Priyank Gupta
Data Visualization Designed By: Priyank Gupta
Image Resource from google.com Types of Data Designed By: Priyank Gupta
Image Resource from google.com Data Visualization in Python Designed By: Priyank Gupta Data scientists are no less than artists. They make paintings in form of digital visualization of data. They also find the hidden patterns from data.
Types of Data Visualization in Python • Python provides two libraries for data visualization • Matplotlib • Seaborn • What are the different visualization we can make? Histogram Box Plot Violin Plot Bar Chart Line Chart Stacked Column Chart Scatter Plot Bubble Plot Pie Chart Heat Map Designed By: Priyank Gupta
Example of matplotlib(Line Chart) Designed By: Priyank Gupta
Designed By: Priyank Gupta
Example of matplotlib (Bar Chart) Designed By: Priyank Gupta
Designed By: Priyank Gupta
Example of matplotlib (Scatter Chart) Designed By: Priyank Gupta
Designed By: Priyank Gupta
Example of matplotlib (Pie Chart) Designed By: Priyank Gupta
Designed By: Priyank Gupta
Historical data is being collected • QUANDL: It is used to get historical data of global companies. 41 Designed By: Priyank Gupta
42 Designed By: Priyank Gupta
Historical data is being collected • NSE INDIA: It is used to get Indian companies historical data. 43 Designed By: Priyank Gupta
WORK DONE WITH PYTHON • INFY: CLOSE PRICE GRAPH OPEN, LOW, HIGH, CLOSE PRICE GRAPH • Historical data collected from http://www.nseindia.com 44 Designed By: Priyank Gupta
WORK DONE WITH PYTHON Contd. • TCS: CLOSE PRICE GRAPH WITH PREDICTED VALUES • Historical data collected from http://www.quandl.com 45
Thank You for Listening Any Questions?

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Python Introduction its a oop language and easy to use

  • 1. Python Introduction with Data Visualization
  • 2. What Are the Top Programming Languages? Image: IEEE Spectrum Interactive Ranking (2017) 2
  • 3. What is Python? • Python is a high-level, interpreted, interactive and object-oriented scripting language for software, website and app development. It is also known as Beginner’s Language. • It uses English keywords frequently where as other languages use punctuation, and it has fewer syntactical constructions than other languages. • Python is designed to be highly readable. • Rapid Application Development • Relatively simple and easy to learn • reduces the cost of program maintenance and development • Freely Available
  • 4. Why Python? • Easy-to-learn • Easy-to-maintain • A broad standard library • Portable & Extendable • Database Connectivity • GUI Programming • Graphical Programming • Supports OOPs Concepts • Platform Independent • Data Visualization
  • 5. Version List of Python • Python 3.7, documentation released on 27 June 2018. • Python 3.6, documentation released on 23 December 2016. • Python 3.5, documentation released on 13 September 2015. • Python 3.4, documentation released on 16 March 2014. • Python 3.3, documentation released on 29 September 2012. • Python 3.2, documentation released on 20 February 2011. • Python 3.1, documentation released on 27 June 2009. • Python 3.0, documentation released on 3 December 2008. • Python 2.7, documentation released on 4 July 2009. • Python 2.0, documentation released on 16 October 2000. • Python 1.4, documentation released on 25 October 1996.
  • 6. Python IDE’s Name Platform Updated Thonny Windows, Linux, Mac OS 2017 LiClipse Windows, Linux, Mac OS 2015 PyCharm Windows, Linux, Mac OS 2014 Komodo Windows, Linux, Mac OS 2012 NetBeans Windows, Linux, Mac OS 2009 Integrated Development and Learning Environment (IDLE) Windows, Linux, Mac OS 2009 and many more.
  • 7. Basic Programs in C Language • Print “Hello” • Add Two Number
  • 8. Basic Programs in C++ Language • Print “Hello” • Add Two Number
  • 9. Basic Programs in Java • Print “Hello” • Add Two Number
  • 10. Basic Programs in Python • Print “Hello” • Add Two Number
  • 14. Standard Data Types • Number • String • List • Tuple • Dictionary • Del
  • 18. input function • It is used to input value through keyboard. • The input of the user will be interpreted. If the user puts in an integer value, the input function returns this integer value. If the user on the other hand inputs a list, the function will return a list.
  • 22. List
  • 24. Tuple
  • 28. User Defined Functions Designed By: Priyank Gupta
  • 30. Image Resource from google.com Types of Data Designed By: Priyank Gupta
  • 31. Image Resource from google.com Data Visualization in Python Designed By: Priyank Gupta Data scientists are no less than artists. They make paintings in form of digital visualization of data. They also find the hidden patterns from data.
  • 32. Types of Data Visualization in Python • Python provides two libraries for data visualization • Matplotlib • Seaborn • What are the different visualization we can make? Histogram Box Plot Violin Plot Bar Chart Line Chart Stacked Column Chart Scatter Plot Bubble Plot Pie Chart Heat Map Designed By: Priyank Gupta
  • 33. Example of matplotlib(Line Chart) Designed By: Priyank Gupta
  • 35. Example of matplotlib (Bar Chart) Designed By: Priyank Gupta
  • 37. Example of matplotlib (Scatter Chart) Designed By: Priyank Gupta
  • 39. Example of matplotlib (Pie Chart) Designed By: Priyank Gupta
  • 41. Historical data is being collected • QUANDL: It is used to get historical data of global companies. 41 Designed By: Priyank Gupta
  • 43. Historical data is being collected • NSE INDIA: It is used to get Indian companies historical data. 43 Designed By: Priyank Gupta
  • 44. WORK DONE WITH PYTHON • INFY: CLOSE PRICE GRAPH OPEN, LOW, HIGH, CLOSE PRICE GRAPH • Historical data collected from http://www.nseindia.com 44 Designed By: Priyank Gupta
  • 45. WORK DONE WITH PYTHON Contd. • TCS: CLOSE PRICE GRAPH WITH PREDICTED VALUES • Historical data collected from http://www.quandl.com 45
  • 46. Thank You for Listening Any Questions?