Название: Python Made Easy: Step By Step Guide To Programming And Data Analysis Using Python For Beginners And Intermediate LevelАвтор: Nilabh Nishchhal
Издательство: Notion Press
Год: 2020
Страниц: 436
Язык: английский
Формат: True EPUB
Размер: 21.6 MB
This book is an introduction to Programming and Data Analytics and uses Python as the choice of language for the beginners. It teaches how to install Python and other requisite software on your machine, how to write a program in Python, and goes on to teach you to make your own application using the Python programming language. The book also gives a good idea about Python libraries used for data analytics and visualization, like Numpy, Pandas, and Matplotlib in detail. You will also be introduced to some other libraries of Python like Pillow for image modification, Tkinter for GUI creation, and OS for interacting with the operating system.
This book’s core is to teach you Python language from basics to intermediate level and along the way, the focus is on the application of the same to solve real-world problems using Python fundamentals. It provides an ideal and elegant way to start learning Python, both for a newcomer to the programming world and a professional developer expert in other languages.
This book comes loaded with illustrations and real-life examples. It gives you exercises which challenge you to refresh your conceptual clarity and write better codes. It is super easy to follow and will work as a self-paced tutorial to get you started with the latest and best in Python. All the advanced Python features to date are included.
• Get to know the history, present, and future of Data Science
• Get introduced to the basics of Computer Programming
• Explore the exciting world of Python using Anaconda
• Learn how to install and use Python on your computer
• Create your Variables, Objects and learn Syntax of operations
• Explore Python's built-in object types like Lists, dictionaries, Tuples, Strings and sets
• Learn to make your codes reusable by using functions
• Organize your codes, functions and other objects into larger components with Modules
• Explore Classes – the Object-Oriented Programming tool for elegant codes
• Write complex codes and learn how to handle Errors and Exceptions
• Learn about NumPy arrays and operations on them
• Explore data analysis using pandas on a real-life data set
• Dive into the exciting world of Visualization with 3 chapters on Visualization and Matplotlib
• Experience the Power of What you learnt by 3 projects
• Learn to make your own application complete with GUI by using API
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