PYTHON PROGRAMMING USER GUIDE: THE MOST COMPREHENSIVE PROGRAMMING GUIDE TO BECOME A PYTHON EXPERT FROM BEGINNER TO ADVANCED LEVEL
October 10, 2022
by VEGA Tech(Author)
ASIN: B0BHTMR5TB
Publisher finelybook 出版社: Independently published (October 10, 2022)
Language 语言: English
Print Length 页数: 288 pages
ISBN-13: 9798357271037
Book Description
Have you given up or at the verge of giving up on programming? Are you in search of a guide to shield you from been repeatedly overcome by python? If yes, then you’ve found the sure guide to set you back on track and pull you through.
Quite a number of people have given up on coding and programming maybe because it is tedious or complex; some don’t have the tenacity to push on till they get their desired result, while some get stuck along the line; whichever applies to you, I assure you that with a right guide like this, you will scale through.
Python is the fastest-growing programming language for developers, programmers, data science analysts, web integrators, software developers, engineers, analysts, and anyone that wants to embark on the journey of programming. This guide is for those that are familiar with programming, and whether your knowledge of python is intermediary or advanced, it is up to your standard as long as you are willing to know more about Python.
With what you will learn in this guide, you will certainly be limitless in your programming approach as you will be able to get your hands on any python challenge, job offer, school assignment, personal project, and so on.
This guide will aid and enlighten you on:
The foundational aspects of python more
What script, IDE, standard and third-party libraries are
The best IDEs and code editors for python
How to import script
How to install Anaconda
How to work with Jupyter Notebook
Creating and renaming a file in Jupyter Notebook
The Jupyter Notebook interface
How to write codes in Jupyter Notebook
Object-oriented programming (a method of structuring your program by bundling related properties and behaviors into individual objects)
Modification of properties in an object
Machine learning, its types, how it works, and how to apply it
Linear regression
Python decorators, inner functions, property decorators, class method decorator, static method decorator, and inheritance
How to return inner functions
How to reshape, iterate, join, split, search, sort, and filter NumPy arrays
Recursion and how to write recursive functions
Broadcasting
Pandas, pandas series, and pandas DataFrame
How to detect and deal with NaN function
Algorithms, method overriding, method adding, and super function
NumPy Array logical indexing
NumPy indexing and slicing
NumPy datatypes
How to delete an object
How to install NumPy and work with it
Slicing and copying NumPy array
How to create NumPy Arrays
Inserting, appending, and deleting elements from the NumPy array, and more
