Название: Python For Data Science: Guide to computer programming and web coding. Learn Machine Learning, Artificial Intelligence, NumPy and Pandas packages for data analysis. Step-by-step exercises includedАвтор: Jason Test
Издательство: Amazon.com Services LLC
Год: 2020
Страниц: 88
Язык: английский
Формат: epub
Размер: 10.1 MB
Do you want to learn Python Programming Language to implement your own Data Analysis solution but you don't know how to start? Python Data Science will introduce you into Pyhton and to the world of data science, machine learning and artificial intelligence. You will also learn the smartest tricks for code-writing.
Python offers a vast library and Machine Learning and Artificial Intelligence database. Scikit Learn, TensorFlow, Seaborn, Pytorch, Matplotlib, and many more are among the most popular libraries. There are many online tutorial videos and resources on machine learning and data science, which can be easily obtained.
Python has proven itself to be a highly scalable and faster language compared to other programming languages such as C++, Java, and R. It gives flexibility in solving problems that can't be solved with other computer languages. Many companies use it to develop all sorts of rapid techniques and systems.
Python provides a number of visualization tools. The Matplotlib library provides a reliable framework on which those libraries such as gg plot, pandas plotting, PyTorch, and others are developed. These services help create graphs, plot lines ready for the Web, visual layouts, etc.
The following list is just a tiny fraction of what you will learn:
• The basics of Python programming
• Differences among programming languages: Vba, SQL, R, Python
• 4 reason why Python is fundamental for Data Science
. Introduction to some Python libraries like NumPy, Pandas, Matplotlib,
• Python design patterns
. Fit Python Data Analysis to your business
. Optimal tools and techniques for data visualization
• Analysis of popular Python projects templates
• Game creation with Pyhton
Examples and step-by-step exercises will guide you during the code-writing learning process. These notions will be provided at an extent useful for both academic or industrial implementation.
Even if you are new in code writing, you will quickly grasp the basics thanks to visual charts and guidelines.
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