About the Book
Data is the new oil -- whoever develops the skills to harvest this largely untapped asset class will increase their value in the 21st-century marketplace.
- Computers and sensors create ever-growing data sets that become increasingly relevant in every part of our lives.
- Smartphones collect billions of GPS traces that reveal valuable information towards new mobility solutions and truly smart cities.
- Smartwatches track the heart rates of millions of people to detect health problems and prevent unnecessary deaths.
- Intelligent cars collect myriads of sample data points that increase traffic efficiency, prevent millions of car accidents, and save humanity hundreds of millions of hours in traffic jams.
Due to Moore's Law -- the number of transistors on a microchip doubles roughly every two years -- it became financially viable to store, process, and analyze hundreds of terabytes of data.
By reading this book, you'll learn the powerful skill of analyzing and processing data with Python's Pandas framework.
About the Authors
Chris is the founder of the programming education company FINXTER, author of the Coffee Break Python series of self-published books, the popular programming book Python One-Liners (NoStarch 2020), a doctorate computer scientist, and owner of one of the top 10 Python blogs worldwide.
His research interests include graph theory and distributed systems.
You can join the FINXTER email academy and consume a large body of free email courses about various topics in computer science and programming.
I love coding and espacially in Python! Python is easy to learn and at the same time it is very powerful. Through the books I would like to help you to discover this! Therefore we designed our puzzle based teaching approach which helps you to learn quickly what you really need and with fun.
I have been working as a Software developer for several years. Currently I'm in the field of operations/SRE of cloud applications.
All my work is all about generating insights from large datasets and maintaining data pipelines. I use Python as main tool on a daily basis for data transformation jobs and data job orchestrations. I believe in the saying "First seek to understand then to be understood". Feel free to reach me out on LinkedIn.