[PDF Download] Python programming for beginners: python mastery in 7 days: top-secret coding tips wi
Visit to download the full and correct content document: https://textbookfull.com/product/python-programming-for-beginners-python-mastery-in -7-days-top-secret-coding-tips-with-hands-on-exercises-for-your-dream-job-1st-editio n-oswald-thornton/
More products digital (pdf, epub, mobi) instant download maybe you interests ...
Google Gemini for Python: Coding with BARD Oswald Campesato
Web Development for beginners Learn HTML CSS Javascript step by step with this Coding Guide Programming Guide for beginners Website development 1st Edition Mastery
Linux for Absolute Beginners 5 Books in 1 The Ultimate Guide to Advanced Linux Programming Kernel Mastery Robust Security Measures System Automation and In Depth Hands on Exercises 1st Edition Denver Geiger.
Python Programming for Beginners by Oswald Thornton is designed as an introductory guide to Python programming for newcomers to the coding world. It is important to understand that while this book provides valuable insights and knowledge, there are no guaranteed outcomes. Success in mastering Python depends on your commitment, dedication, and personal learning curve. Programming can be challenging, and while this book simplifies the learning process, some concepts may require time and practice to fully grasp.
Furthermore, this book serves as a foundation for your Python journey but cannot replace real-world experience. It's essential to apply what you learn through practical projects and coding exercises. Additionally, the field of programming, including Python, is dynamic and constantly evolving. While the information in this book is accurate as of its publication date, it's advisable to stay updated with the latest developments and best practices. Ultimately, your use of the knowledge gained from this book is at your discretion and risk, and the author, publisher, and any associated parties are not liable for any consequences stemming from your use of Python or the information provided in this book.
5.4 With Parameters Defining and Calling a function
5.5 Return Statement in Python
Chapter 6
DATA STRUCTURES
6.1 Data Structures
6.2 Python Lists
6.3 Python Tuples
6.4 Python Dictionary
6.5 Python Sets
Chapter 7
FILE HANDLING
7.1 File Handling
7.2 Open and Read File
7.3 Write to a Current File
7.4 Delete a File
Chapter 8
OBJECT ORIENTED PROGRAMMING
8.1 Python Object-Oriented Programming
8.2 Inheritance
8.3 Encapsulation
Chapter 9
MODULES AND LIBRARIES
9.1 NUMPY
9.2 PANDAS
9.3 MATPLOTLIB
Chapter 10
FINAL PROJECT
10.1 Fundamentals
10.2 User Interaction
10.3 Project Working
10.4 Project Code Explanation
10.5 Project Python Code
10.6 Conclusion of Project
CONCLUSION
AUTHOR’S NOTES
ABOUT AUTHOR
OSWALD THORNTON is a seasoned programmer and educator known for his passion for making complex concepts accessible to newcomers. With years of experience in coding, Oswald has authored "Python Programming for Beginners" as a comprehensive guide for those taking their first steps into the world of Python. His clear and engaging writing style and practical examples have helped countless beginners build a strong foundation in Python programming. Oswald Thornton's book is the ideal starting point for anyone eager to unlock the exciting possibilities of coding with Python. With Oswald as your mentor, you're on the path to mastering Python programming and opening doors to countless opportunities.
INTRODUCTION
Welcome to the exciting journey of learning Python from scratch with the book, "Python Programming for Beginners" where your journey into the exciting world of programming begins. This book is designed with the beginner in mind. Here is a great start from scratch, assuming anyone if no prior coding experience can learn from this book.
Programming is not just a valuable skill; it is a superpower that can transform your professional life in remarkable ways. Whether you dream of creating your websites, developing apps, analyzing data, or automating everyday tasks, Python is the ideal language to start with. It's known for its simplicity, readability, and versatility, making it the preferred choice for beginners and experienced developers alike.
For beginners who need assistance in selecting programming languages, Python is a great, easy-to-learn, and high-level language. Programmers can accomplish a great deal with relatively little code using the Python programming language and its diverse libraries.
Python is a free, open-source, and easily accessible programming language. Python has a simple syntax because the language's developers keep programming rules in mind. Programming languages can be learned quickly by anyone without programming experience. Reading source code, distributing the software, and making changes to it are quite easy with Python. It offers the option of generating codes in other languages and then embedding them within Python code.
This Python book is tailored to individuals who are new to the world of programming, and it caters to a diverse
audience:
Absolute Beginners: If you've never written a line of code before, fear not! This book is your starting point on the path to becoming a proficient programmer.
Programming Novices: If you've tinkered with coding or have some basic knowledge but seek a structured and beginner-friendly resource to bolster your skills, you're in the right place.
Students: Whether you're a high school or college student studying computer science or a related field, this book will provide you with a clear and comprehensive introduction to Python.
Self-Learners: If you're self-motivated and want to learn programming at your own pace, this book will serve as your reliable guide.
Career Switchers: If you're considering a transition into a tech-centric career or need programming skills for your current role, this book equips you with the fundamentals.
Enthusiasts: Whether you're interested in coding for fun or to power personal projects, such as websites, automating tasks, or small applications, this book will empower you to do just that.
In the book, we'll take you on a journey through the fundamentals of Python. But this isn't just a book about syntax and rules. It's a guide that empowers you to solve real-world problems, unleashing your creativity and problem-solving abilities. With Python, you'll have the tools to turn your ideas into reality.
Before diving into the crucial concepts and working with Python programming, guidance on the setting up of the environment and the installation process of Python will be
discussed. The right configuration of the coding environment is essential to ensuring a smooth and efficient coding experience. Here we will guide you through installing Python and introduce you to the tools you will need to write, edit, and run Python programs.
Step by step, we'll introduce you to the core concepts of Python, from variables and data types to loops, functions, and object-oriented programming. Each chapter is crafted to be engaging, practical, and filled with hands-on examples, ensuring that you not only understand the concepts but can also apply them.
You will take a tour of Python's foundations in the chapters that follow. You can use this manual to solve difficulties in the real world while also fostering your creativity and problem-solving skills. You will have the resources with Python to make your thoughts clear with basic comprehensive concepts.
As you progress through this book, you will gain the confidence to tackle coding challenges with clear concepts, work on exciting projects, and explore Python's vast ecosystem of libraries and tools. Whether you aspire to become a professional programmer, enhance your problemsolving skills, or simply explore the world of coding, in an efficient and exciting manner, it is crucial to understand the basic concepts.
Chapter 1 BEGINNING OF PYTHON
1.1 Introduction to Python
For beginners who need assistance in selecting programming languages, Python is a great, easy-to-learn, and high-level language. Diverse purposes are served by it:
Python code is automatically translated and compiled into byte code, making it suitable for scripting, web development, etc.
Python can be embedded in C and C++, so it is suitable for tasks that require high-performance computation.
Strong structure flow (code blocks, classes, modules, functions, and packages) and usage of objects and objects-oriented programming enable one to write unambiguous code logic for huge and small application tasks.
Programmers can accomplish a great deal with relatively little code using the Python programming language and its diverse libraries.
1.2 Features of Python
The important features of Python are:
I. Simple Syntax
The syntax of any language is very important to understand. Consequently, Python has a simple syntax because the language's developers keep programming rules in mind.
II. Easy to Learn
Programming languages can be learned quickly by anyone without programming experience. As a result, the code has fewer debugging issues or errors.
III. Open Source and Free
Reading source code, distributing the software, and making changes to it are quite easy with Python, a free, opensource, and easily accessible programming language.
IV. Interpreted
The main code is not converted into a binary code at the beginning. The language is converted to machine code during runtime, making debugging easier.
V. Embeddable
Additionally, Python offers the option of generating codes in other languages and then embedding them within Python code.
1.3 Lexical Matters
To get started with Python, the basic lexical matter is comprehensively described below:
1.3.1
Lines
Python does what you want it to do most of the time, so you only have to add extra characters sometimes. A statement separator is a semicolon but is only needed when there is more than one statement on a line.
1.3.2 Comments
"#" in the beginning make a line ignored. No need to block comments, but doc strings are a comment in quotes at the start of the code. Support for Python often allows commenting out selected blocks of code, usually with "##."
1.4 Relatively Small Python Code
Python is easy to learn compared to other programming languages. Python code is significantly easier to read and
comprehend than other languages, in addition to being significantly quicker to write than other programming languages.
Let us take an example, this is some code written in Java, another popular programming language: public class Hello { public static void main(String[] args) { System. out.println("Hello world!");
The above Program will show the text Hello world! On the screen. In this case, there is much work to show just one phrase on the screen.
Here is the identical Program in Python written as print("Hello, World")
As is noticeable it seems easy and simple. The Program written in Python is fast and comprehensible to write and read. It looks comprehensive, understandable, and more accessible, as well!
Meanwhile, Python Programming has numerous and diverse working functionalities of other Programming languages and more. An easy and friendly language to learn and offers career-oriented professional and expert opportunities for any beginner or advanced Programmer who chooses Python to become a master.
Chapter 2
SETTING UP THE ENVIRONMENT
The right configuration of the coding environment is essential to ensure a smooth and efficient coding experience. Here we will guide you through installing Python and introduce you to the tools you will need to write, edit, and run Python programs.
The purpose of this chapter is to guide you through the steps necessary for setting up your programming environment so that you can learn Python.
2.1 Installing Python
Getting started with Python requires installing the Python interpreter on your computer system. In addition to any Python that may already exist on your system, you will install the latest version of Python 3.
Detailed instructions for installing Python on Windows, macOS, and Linux will be provided. In this chapter, the topic of discussion is the download process of Python, navigating the installation process, and verifying that Python is installed properly on your computer.
2.1.1: Windows
In the Windows operating system, Python doesn’t typically come by default. The installation and download procedure are required.
The installation, download process, and the Python installer running from the Python.org website is necessary.
Here are the steps to follow to install Python 3 on Windows
➔ 1: Download the Python 3
Installer
Go to the web browser then go to the below URL: https://www.python.org/downloads/windows/
Go with Windows x86-64 executable installer at the bottom to start downloading.
For systems with 32-bit processors, you should choose the 32-bit installer. Keep the 64-bit installer if you're unsure whether you have a 32-bit or 64-bit OS.
➔ 2: Process of Installer running
You can run the installer by double-clicking the file in your Downloads folder in Windows Explorer. Here is the dialog box that will look similar:
Go with the “Install Now” option in order to install Python in your System. Now wait for the previous process to end then open IDLE.
2.1.2: macOS
Python 3 can be installed on macOS by following these steps. The installation, download process, and the Python installer running from the Python.org website are necessary on macOS as well.
➔ 1: Download the Python 3
Installer
Go to the web browser then go to the below URL: https://www.python.org/downloads/mac-osx/
Go with the latest Python version - Python 3. x.x under the “Python Releases for Mac OS X” heading near the top of the page. Then go to the upper side of the page and go to the macOS 64-bit installer to start the download.
➔ 2: Run the Installer
Open the Finder and double-click the downloaded file to run the installer.
Here is the dialog box that will look similar:
Press Continue a few times until you are asked to agree to the software license agreement. Then click Agree, and you can see where Python will be installed in your system and how much space consumption it will take.
Mostly, you do not change the default file location, so continue and click Install to start the installation process.
When the installer is finished copying files, click Close to close the installer window.
2.1.3: Ubuntu Linux
Follow the steps to install Python 3 and open IDLE on Ubuntu Linux. There’s a good chance that your Ubuntu distribution System has Python installed, but it is probably not the latest version, and it may be Python 2 instead of 3.
One or more of these commands should respond with a version as below:
$ python3 --version
According to this example, it will show the Python version installed like Python 3.9.0.
Your version number may vary. If the version shown is Python 2. You want to install the latest version of X or a version of Python 3 that is less than 3.9. How you install Python on Ubuntu depends on which version you’re running. You can determine your local Ubuntu version by running the following command:
$ lsb_release -a
Look at the version number next to Release in the console output and follow the corresponding instructions below.
Ubuntu version 18.04 does not have Python 3.9 by default, but it is in the Universe repository. You can install it with the following commands in the Terminal application:
For Ubuntu versions 17 and lower, Python 3.9 is not in the Universe repository. It would help if you got it from a Personal Package Archive (PPA). To install Python from the PPA, run the following commands in the Terminal application:
You can check that the correct version of Python was installed by running python3 --version. If you see a version number less than 3.9, you may need to type python3.9 version. Now you can open IDLE and get ready to write the first Python program.
2.2 Choosing an IDE or Code Editor
Integrated Development Environments (IDEs) streamline your coding workflow by providing code highlighting, autocompletion, and debugging features.
We will elaborate on the pros of using an IDE and walk you through selecting and installing one that suits your preferences. We'll discuss the features and usage benefits of popular choices such as Visual Studio Code, PyCharm, and IDLE.
2.2.1:
Visual Studio Code
Python is simple to work with in Visual Studio Code when using the Microsoft Python extension. The extension makes VS Code an excellent Python editor and supports a variety of Python interpreters. With the help of VS Code, it provides auto-complete IntelliSense, linting, debugging, and unit testing features—the ability to switch between Python environments, including virtual and condo environments.
2.2.2: Pycharm
Many programmers nowadays opt for Python to build software applications with a concise, clean, and readable code base. JetBrains has developed PyCharm as a crossplatform IDE for Python. In addition to supporting versions 2. x and 3. x of Python, PyCharm is compatible with Windows, Linux, and macOS and the most widely used IDE for Python programming language.
Here are some of the significant features and benefits that stand out in terms of competition and ease of use Code Editor, Navigation, Refactoring, Popular Web Technologies, and Support for Popular Python Web Framework.
2.2.3: IDLE
A Python installation is shipped with an Integrated Development and Learning Environment, or IDLE, which can be shortened to IDE or IDLE. Code autocompletion, an interactive interpreter, a Python shell with syntax highlighting, a multi-window text editor, intelligent code indentation, and an interactive interpreter are included.
Once you are done with the installation of Python, you will be able to work in IDLE.
➔
In Windows:
1. Click the Start menu and locate the Python 3.9 folder.
2. Open the folder and select IDLE (Python 3.9).
Here is the Python shell on Windows that will look the similar:
In macOS:
1. Open Finder and click Applications.
2. Double-click the Python 3.9 folder.
3. Double-click the IDLE icon.
The Windows python shell will look like this:
➔ In Linux:
In order to access IDLE, also use the command line with the following command:
$ idle-python3.9
The windows python shell will look like this:
An interactive Python shell allows you to type Python code. In Shell, the >>> symbol indicates a prompt, which means it's waiting for your instructions.
2.3 Configuring Your Development Environment
After installing Python and an IDE or code editor, we will guide you through the initial setup of your development environment. You will learn how to customize your IDE's settings, install necessary extensions or plugins, and configure code formatting to match industry best practices. Properly configuring your environment will enhance your coding experience and make you more productive.
Once you download and install Python from the official website. After choosing an IDE or code editor, like Visual Studio Code (VSCode) or PyCharm, and install it. Launch your chosen IDE; open the settings/preferences panel.
➔ For VSCode:
Install Python extension (by Microsoft) for Pythonspecific features.
Explore other extensions for linting, debugging, and more.
Use the Python extension's settings to configure formatting.
Set the "python.formatting.provider" to "autopep8" or "black" (Python code formatters).
Python extension includes linting features.
Configure linting settings in your workspace settings (.vscode/settings.json).
➔ For PyCharm:
Built-in Python support is available. Install additional plugins as needed.
Configure code formatting using "Editor" > "Code Style" settings.
Set formatting rules for indentation, line breaks, and more.
Integrated linting and code analysis tools are available.
Adjust settings in "Editor" > "Inspections" to match best practices.
For idle, you can use the option mentioned along with the file option to interact with it. Experiment with different IDE settings, extensions, and tools to find what works best for you. Regularly update your environment and tools to leverage new features and improvements.
2.4 Creating Your First Python Program
To comprehend the understanding of the setup process, we'll guide you through creating and running your first program in Python. The process of how to open a new code file, write a basic "Hello, World!" program, and execute it using your chosen IDE or code editor will be covered. This hands-on exercise will demonstrate the essential steps you'll follow every time you write and run Python code.
Visual Studio Code
Once Python is installed and the programming environment setup is done, now open Visual Studio. With Visual Studio Code, open the current directory you are working in the way: File -> Open and select the directory.
After the previous step, you will be able to the folder in the Explorer window on the left side. With the directory open, create the first Python file (.py extension) with essential code to print the msg "Hello World" that will display after running the program.
2.5 Program on PyCharm
1. Open the PyCharm software and go to the "Create New Project."
2. Provide the location where you want to create the project. The PyCharm will find the Python interpreter you have installed earlier.
3. Right-click on project name => New => Python File, Give the name “hello_world” and click OK.
4. Write a simple program to → print(“Hello World!!!”)
5. Go to Run=> Run and then select the file name
6. Check the output in the run console. We can see the output “Hello World!!!”
Inside the Python idle,
The “>>>” symbol is prompt, which means Python is waiting for you to give it some instructions. After the >>> symbol, you will write Python code, as shown below.
Now we assume you will have a fully functional Python environment set up on your computer, complete with a capable IDE or code editor. You will be ready to dive down into the exciting world of Python programming and start the
journey of exploring the language's core concepts in the upcoming chapters of this book.
Chapter 3 BASIC CONCEPTS
The substantial building of basic concepts in any programming language is very crucial. This chapter is designed to describe and cover the fundamental concepts of Python programming, such as variables, data types, operators, and the basic input/output, and explain how to write simple Python programs and execute them.
3.1 Variables and Data Types
Variables are names in source code that correspond to memory locations that we use to store the data that are further referenced throughout the program.
Variables are used in programming because of two causes:
➔
1. Variables
make the values accessible and make operation easy:
For Instance, you can give a variable the outcome of some more timeconsuming process therefore the program does not have to operate always whenever required to make the variable again.
➔ 2. Values context
The “24” number means many different things like the number of programmers in software house, the number of attempts a client must view or visit a website, and more. To give the value of 24 named as total programmer which now gives a clear idea of the value assigned.
The data can be one of many types, in python, the "type" keyword will give you the data type of variable you use in the program.
INTEGER
FLOAT
BOOLEAN
Stores whole number, For Example, >>> type(1)
It will show <class int>
Stores decimal number, For Example, >>> type(1.8) then it will show <class float>
Stores two values either true or false
For Example, >>> type(true) It will show <class boolt>
STRING
Stores collection of character, For Example, print (“Python Book”)
Output Python Book
Here “Python Book” is a string. >>> type(“Python Book”) It will show <class str>
Sequence types
LIST Contains the collection of data in a specific order. In a list, you would access an element using that element’s index (a number representing the element’s position in the list).
TUPLE Contains the collection of data that is immutable, used for something as a coordinate, and contains x and y values which are stored as a single variable.
DICTIONAR Y
Stores the data in key-value pairs. This means you access the values that are stored in the dictionary manner using the corresponding key of value.
Let us create a program we can use to describe how to use the variables and different data types. At this point, you do not always have to specify data types in Python. Save your Python Files with whatever name you want with the .py extension.
In Python, to make comments, we use "# " to make code descriptions and make them understood.
# Here is the variable creation by writing the variable name we want to access,
# followed by = sign and value in order to store in the particular variable.
# For instance, the following code creates a variable called # hey_str which contains the string Hello World here.
# The hey_list above contains the exact 5 strings. Remember that there are no spaces
# between these strings, so if you were to join them up to make a complete sentence
# You'd have to add a space between every element.
hey_list = list()
hey_list.append(“Hello,”)
hey_list.append(“this”)
hey_list.append(“is”)
hey_list.append(“a”)
hey_list.append(“list”)
# The first line creates an empty list; the following lines use the append function
# to add the elements to the existing list. Using a # list is not very useful when you are working with strings you know at # advanced level, but actually, it is more useful when going toward dynamic data such as # user input. This list will overwrite the first list without warning, as we
#above is the Usage of Dictionary. You can see the first name as Henry, so whenever you want to print, you access it with your first name.
3.2 Operators
A symbol for example ‘+’, operates on one or more than one value, which tells and specifies the interpreter to do a specific operation and task, such as arithmetic, comparison, logic operations, etc.
For Example, the + operator contains the two numbers, one to the left side of the operator and one to the right side and adds them together. The values are assigned by the usage of a symbol named assignment operator with (=). The “=” operator is placed on the right side of the operator and gives it to the name on the left side.
Python defines the following operators:
Operators
+, -
Usage Description
Addition and subtraction
*, /, % Multiplication, division, remainder
+x, x Positive, negative
** Exponentiation
or Boolean OR and Boolean AND not Boolean NOT
<, <=, >, >=, <>, !=, ==
Comparisons operators
| Bitwise OR
^ Bitwise XOR
& Bitwise AND
<<, >> Shifts
f(arguments...) Function call
(expressions...)
Binding or tuple display
[expressions...] List display
{key: datum...} Dictionary display
Here is the usage of some operators in Python Programs:
Program
x= 40 y = 30
sum = x + y
print ('Sum of x and y is, Sum)
When you execute the above program, you will get the below output.
Another random document with no related content on Scribd: