Description
- What is data?
- Data Science: An overview
- Recent trends in data science
Chapter 2: Basics of Python Programming
- Why Python?
- Python versions and installation
- Python IDEs
- Python data types
- Functions
- Python modules
- Exceptions
- Python packages for data science
Chapter 3: Introduction to Raspberry Pi
- Raspberry Pi Hardware
- Raspberry Pi Versions
- Setting up the Raspberry Pi
- Interfacing Raspberry Pi with sensors
- Raspberry Pi as an edge device
- Raspberry Pi as localized cloud
Chapter 4: Gathering Real-Time Data Using the Raspberry Pi
- Sensors and signals
- Data acquisition
- Data transfer- Time series data
- Memory requirements
Case study: Gathering real-time industry data
Chapter 5: Preparing the Data
- Structuring the real-time data into CSV format
- Structuring the real-time data into XML format
- Pandas data structures
- Series
- Data Frame
- Panel
- Cleaning the data
- Handling missing values
- Handling outliers
- Filtering inappropriate values
- Removing duplicates
Case study: Preparing the industry data
Chapter 6: Visualizing the Data
-The matplotlib package
- Types of plots
- Line plots
- Scatter plots
- Bar pl
Author: K. Mohaideen Abdul Kadhar, G. Anand
Publisher: Apress
Published: 07/02/2021
Pages: 239
Binding Type: Paperback
Weight: 0.81lbs
Size: 9.21h x 6.14w x 0.55d
ISBN13: 9781484268247
ISBN10: 1484268245
BISAC Categories:
- Computers | Hardware | General
About the Author
Dr. K. Mohaideen Abdul Kadhar has an undergraduate degree in electronics and communication engineering and an MTech with a specialization in control and instrumentation. In 2015, he obtained his PhD in control system design using evolutionary algorithms. He has more than 14 years of experience in teaching and research. His area of interest is implementing signal processing and control system concepts with Python programming on the Raspberry Pi. He has conducted many courses and delivered workshops in data science with Python programming. He has also acted as consultant for many industries in developing machine vision systems for industrial applications.
Mr. G Anand obtained his BE degree in electronics and communication engineering in 2008, and his ME in communication systems in the year 2011. He has more than nine years of teaching experience with specialization in signal and image processing. He has handled courses and acted as the primary resource person in workshops related to Python programming. His current research focuses on artificial intelligence and machine learning.