Python for Beginners: Data Analysis, Machine Learning, and Data Science Projects. A Crash Course in Python for Absolute Beginners (2022 Guide)
- Добавил: literator
- Дата: 30-12-2021, 01:32
- Комментариев: 0
![Python for Beginners: Data Analysis, Machine Learning, and Data Science Projects. A Crash Course in Python for Absolute Beginners (2022 Guide)](/uploads/posts/2021-12/1640817203_2841_python_for_b_ginn_rs__data_analysis__machin__l_arning__and_data_sci_nc__pro__cts.jpg)
Автор: Ike Beck
Издательство: Amazon.com Services LLC
Год: 2021
Страниц: 100
Язык: английский
Формат: pdf, epub
Размер: 15.5 MB
Python is a popular language of programming that is taught and used in both academic institutions and businesses. Python's allure is hidden behind the fact that it has a plethora of applications in a variety of industries. Python is disliked by the majority of people because it is used to create artificial intelligence models. They are concerned that these Python-powered AI models will drive people out of multiple industries and take their jobs. They give the example of Tesla's driverless taxi project, in which Tesla pretends to replace Uber's taxis in the US market. The truth, on the other hand, is quite different. Indeed, Python-based AI models will create far more jobs than they will eliminate. Creating these models, for example, will become its own industry. Furthermore, the application of these AI models will result in the creation of a new business sector.
The corporate world is about to be dominated by data science. As more companies compete head-to-head, data science is being built on the Python programming language. All they want is an advantage over their competitors. They are willing to go to any length to gain power and advance in their careers. In this regard, Python obviously holds potential. Python-based data science provides industries with comprehensive data on past and present sales patterns, allowing company CEOs to make educated marketing and business planning decisions.
The fact that the code does not need to be compiled is the most significant advantage for Python beginners. Before you can run a C++ program, it must first be compiled. Only then will you be able to see if your software runs or fails. Python offers the same, if not a higher level of programming, but it is an interpreted language that is simple to write, amend, and correct.
Python is a relatively easy language to read and learn. Many programs written by other programmers' source codes are easily accessible. However, regardless of how easy it appears to read and understand on the surface, it, like all other programming languages, requires dedicated practice.
This book discusses every element you should be aware of to get started with Python. This course covers everything from Python installation to Object-Oriented Programming, from Data Types and Variables declaration to a practical application on Decision Trees.
You will discover all you need to get started with Python programming. Inside, we'll talk about a variety of subjects, including
Installation of Python
Data Types in Python
Variables in Python
Python Data Structures' Fundamental Operators
Understanding Functions
Python Object-Oriented Programming, conditionals and loops are used (OOP)
Polymorphism and Inheritance
Programming Tools That Are Required
Dealing with Files
Handling Exceptions
Decision Tree Application and Much More!....
Скачать Python for Beginners: Data Analysis, Machine Learning, and Data Science Projects
![](/templates/LitmyL/images/LitMyru.png)
[related-news] [/related-news]
Внимание
Уважаемый посетитель, Вы зашли на сайт как незарегистрированный пользователь.
Мы рекомендуем Вам зарегистрироваться либо войти на сайт под своим именем.
Уважаемый посетитель, Вы зашли на сайт как незарегистрированный пользователь.
Мы рекомендуем Вам зарегистрироваться либо войти на сайт под своим именем.