Python Programming This Book Includes Python Programming For Beginners And Data Science(1st Edition)
Authors:
Matthew Python ,Matthew Arduino
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Book details
ISBN: B0863S9JR8, 979-8626432404
Book publisher: Independently published
Book Summary: Do you know what Python is?Python is a powerful programming language, serving a large number of purposes. It is a free and open-source programming language and it is a very good programming language for beginners, especially for those who are interested to learn computer programming for the very first time.How much do you about Python for Data Science?With the help of python, data manipulation, data visualization, as well as, data analysis becomes very simple. Python also has all the libraries, that are vital for every application of machine learning and scientific processing of data.Now, the question is, why should we learn Python?The reason is its versatility, object-oriented features and flexibility. Most of the mobile and web applications we use have the abundance of Python’s libraries, different frameworks, a huge collection of modules and file extensions. With data science gaining more popularity the programmers need to have deep knowledge in Python, one of the languages required in data science.That’s why you need a guide like:“Python Programming: 2 Books in 1: Python Programming for Beginners and Python for Data Science” by Matthew PythonandMatthew Arduino.The goal of the eBook is simple: allow you to have a deep understanding of Python as a programming language.Here’s what you’ll learn:What is PythonHistory; Different of Python version; How to download and install (different O.S.) Python; preparing computer for Python; writing first python programFundamentals of Python for Data ScienceInstallation of PythonThe Python keywords: How to name an identifier, the Python statements, the Comments, bringing in the Python Variables, the Operators, the Python Functions, The Python Classes, Control Flow.What are Variables and StringsWhat is Data Science: history of Data Science, data science and artificial intelligence, data science tips and tricks.Explain why variables are needed; variable naming and assignment; static type and dynamic type; python’s numeric data types; decimal mode; constant; formatting input and output function; some practice exercisesOperators in PythonExplain why operators are necessary & what are operands and operators; arithmetic Operators; modulus; squaring and cubing in pythonPython Data TypesPython Numbers: Python Lists, Python Strings, Python Set, Python dictionary...and much more!Scroll up and add to cart “Python Programming” by Matthew Python and Matthew Arduino!
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