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Showing posts with label Python ebooks. Show all posts
Showing posts with label Python ebooks. Show all posts

02 April, 2021

2021 Beginners Guide to Python Programming Language: A Crash Course to Mastering Python in One Hour

2021 Beginners Guide to Python Programming Language: A Crash Course to Mastering Python in One Hour

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Author(s): Elmer, Gary; Elmer, Gary

Year: 2020

Programming should not be a herculean task when the proper guide is followed. As an object-oriented programming language, Python is quite easy and straightforward for use in programming. With all entities seen as objects in this language, it is easy to solve real-life problems in Python. A feature of Python that endears it to many programmers is the easy approach to writing codes; it is easy to learn and apply. Also, with a free and open-source, it is available for all. Python programming for beginners: A step-by-step guide to coding using Python 3 for beginners to pro was written with the goal of instructing an absolute amateur to become an expert in programming. This guide provides all you need towards actualizing your goal of becoming a programmer. It exposes you to:


  • Introduction to Python logic and techniques.


  • Variables and constants


  • Naming conventions for Python readability


  • Methods in Python


  • Access modifiers in Python


  • Operators


  • Inheritance and polymorphism


  • Exception handling


  • Program errors


These topics and many more represent the wealth of knowledge you stand to gain from reading this book. It’s time to start your journey towards programming! 

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30 March, 2021

Black Hat Python: Python Programming for Hackers and Pentesters

 

Black Hat Python: Python Programming for Hackers and Pentesters

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Author(s): Justin Seitz, Tim Arnold

Publisher: No Starch Press, Year: 2021

When it comes to creating powerful and effective hacking tools, Python is the language of choice for most security analysts. But just how does the magic happen?

In Black Hat Python, the latest from Justin Seitz (author of the best-selling Gray Hat Python), you’ll explore the darker side of Python’s capabilities—writing network sniffers, manipulating packets, infecting virtual machines, creating stealthy trojans, and more.

You’ll learn how to:
–Create a trojan command-and-control using GitHub
–Detect sandboxing and automate com­mon malware tasks, like keylogging and screenshotting
–Escalate Windows privileges with creative process control
–Use offensive memory forensics tricks to retrieve password hashes and inject shellcode into a virtual machine
–Extend the popular Burp Suite web-hacking tool
–Abuse Windows COM automation to perform a man-in-the-browser attack
–Exfiltrate data from a network most sneakily

Insider techniques and creative challenges throughout show you how to extend the hacks and how to write your own exploits.

When it comes to offensive security, your ability to create powerful tools on the fly is indispensable. Learn how in Black Hat Python.

Uses Python 2

Review

"Whether you're interested in becoming a serious hacker/penetration tester or just want to know how they work, this book is one you need to read. Intense, technically sound, and eye-opening."
<—Computerworld

Black Hat Python is an excellent way to start by fully investigating how the language can be used for both the light – and dark – sides of hacking."
<—ZDNet

About the Author

Justin Seitz is a senior security researcher for Immunity, Inc., where he spends his time bug hunting, reverse engineering, writing exploits, and coding Python. He is the author of Gray Hat Python (No Starch Press), the first book to cover Python for security analysis.

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29 March, 2021

PYTHON PROGRAMMING: Python Programming Final Getting Started Guide with Step-by-Step Guidance and Hands Examples.

PYTHON PROGRAMMING: Python Programming Final Getting Started Guide with Step-by-Step Guidance and Hands Examples.

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Author(s): FOSTER, JOHN

Year: 2020

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Coding Interview, 1000 Questions & Answers: Including Examination of C#, C++, HTML, CSS, JQuery, JavaScript, JAVA, Linux, PHP, MySQL, Python, Visual Basic Courses

Coding Interview, 1000 Questions & Answers: Including Examination of C#, C++, HTML, CSS, JQuery, JavaScript, JAVA, Linux, PHP, MySQL, Python, Visual Basic Courses

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28 March, 2021

Python Basics: A Practical Introduction to Python 3

Python Basics: A Practical Introduction to Python 3

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Python Basics:
A Practical Introduction to Python 3

Your Complete Python Curriculum
With Exercises, Interactive Quizzes, and Sample Projects

Python Basics: A Practical Introduction to Python 3

There’s an overwhelming amount of information about Python on the internet…

But for many beginners (who are studying on their own), the lack of structure for what you should learn and in what order is missing.

If you’re wondering:

“What should I learn about Python in the beginning to get a strong foundation?”

Then this book is for you—whether you’re a complete beginner or already dabbled in Python or other languages before.

Written in plain English, Python Basics breaks down the core concepts you really need to know into bite-sized chunks.

You’ll know “enough to be dangerous” with Python, fast:

Instead of just handing you a boring list of language features, you’ll see exactly how the different building blocks fit together and what’s involved in building real apps and scripts with Python.

Step-by-step you’ll master fundamental Python concepts that will help you get started on your journey to learn Python.

With a clear narrative and chapters that build on each other, this book takes you from beginner to intermediate-level in Python 3.9—the latest and greatest version of the popular programming language.

Python Basics Is for Complete Beginners to Python and Coding: No Prior Programming Experience Necessary

You’ll be introduced to each concept and language feature in a logical order.

Simply follow our practical, step-by-step roadmap and develop your foundational skills. Every step in this complete beginner’s curriculum is explained and illustrated with short & clear code samples.

If you already have some prior coding experience, even better: You’ll be able to move that much quicker and get a crash course that brings you up to speed with modern Python programming.

Coding exercises within each chapter and our interactive quizzes help fast-track your progress and ensure you always know what to focus on next.

Get Real Python’s practical introduction to Python 3.9 that jumps right into the “meat and potatoes” without sacrificing substance

Become a fluent Pythonista and gain programming knowledge you can apply in the real-world, today:

Python Basics Book

Python Basics:
A Practical Introduction to Python 3

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Design Patterns in Python: Common GOF (Gang of Four) Design Patterns implemented in Python

Design Patterns in Python: Common GOF (Gang of Four) Design Patterns implemented in Python

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Author (s): Mr Sean Bradley

Publisher: Independently published, Year: 2021

Description:

This book is about the 23 common GoF (Gang of Four) Design Patterns implemented and in Python.

A Design Pattern is a description or template that can be repeatedly applied to a commonly recurring problem in software design.

You will find a familiarity with Design Patterns very useful when planning, discussing, developing, managing and documenting your applications from now on and into the future. You will learn these Design Patterns.

  • Creational - Factory - Abstract Factory - Builder - Prototype - Singleton
  • Structural - Decorator - Adapter - Facade - Bridge - Composite - Flyweight - Proxy
  • Behavioral - Command - Chain of Responsibility - Observer Pattern - Interpreter - Iterator - Mediator - Memento - State - Strategy - Template - Visitor.

If you want a break from your computer and read from a book for a while, then this book is for you.

*** Book also provides you FREE Access to Online Instructional Videos. See video codes in the book ***

Thanks,
Sean Bradley

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Python for Excel new 2021

Python for Excel new 2021


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Author(s): Felix Zumstein

Publisher: O'Reilly Media, Year: 2021

Product Description

While Excel remains ubiquitous in the business world, recent Microsoft feedback forums are full of requests to include Python as an Excel scripting language. In fact, it's the top feature requested. What makes this combination so compelling? In this hands-on guide, Felix Zumstein--creator of xlwings, a popular open source package for automating Excel with Python--shows experienced Excel users how to integrate these two worlds efficiently.

Excel has added quite a few new capabilities over the past couple of years, but its automation language, VBA, stopped evolving a long time ago. Many Excel power users have already adopted Python for daily automation tasks. This guide gets you started.

  • Use Python without extensive programming knowledge
  • Get started with modern tools, including Jupyter notebooks and Visual Studio code
  • Use pandas to acquire, clean, and analyze data and replace typical Excel calculations
  • Automate tedious tasks like consolidation of Excel workbooks and production of Excel reports
  • Use xlwings to build interactive Excel tools that use Python as a calculation engine
  • Connect Excel to databases and CSV files and fetch data from the internet using Python code
  • Use Python as a single tool to replace VBA, Power Query, and Power Pivot

About the Author

Felix Zumstein is creator and maintainer of xlwings, a popular open-source package that allows the automation of Excel with Python on Windows and macOS. He also organizes the xlwings meetups in London and NYC to promote a broad range of innovative solutions for Excel.

As CEO of xltrail, a version control system for Excel files, he has talked to hundreds of users who use Excel for business critical tasks and has therefore gained deep insight into the typical uses cases and issues with Excel across various industries.

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27 March, 2021

Python Basics: Python Programming Net Intermediate: Development Level Python

Python Basics: Python Programming Net Intermediate: Development Level Python

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Author(s): Otinger, Nguyet

Publisher: UNKNOWN, Year: 2021

Do you want to learn Python in an easy and faster way?

Start learning Python right Now!

Welcome to this training for the Kindle edition of Python for Intermediates. This book is going to go more in depth than the previous beginner’s book did in showing you how you can use Python to its fullest advantage. In the beginner’s book, you learned some of the basic functions of Python and the various pieces of code that you are going to be able to input into Python so that you can make that function work properly. However, in this book, you are going to learn about other functions and pieces of the code that will work with the functions that you already know. It is here that you are going to be taking another step towards being able to program your own applications, websites, and anything else that you could possibly want to program all with simple blocks of code that you learned from a beginner’s book. Do not rush into thinking that you are going to be able to write your own computer application just yet. That is going to require that you get through this book and the next one to get a complete understanding of how Python works. The intermediate level is going to be a level that you may think does not need to be explored because some of it may end up being completely irrelevant to what it is that you are going to do with Python. However, you never know what you are going to find in this book that may just make or break the code that you are completing. So, please do not skip over this book thinking that you are not going to learn something new because I assure you, there is always something new for you to learn even if it is something simple.

Here’s What You’ll Learn From This Python For Intermediates Book:

✓ Chapter 1: Objects in Python ✓ Chapter 2: Object Oriented Programming ✓ Chapter 3: Functions ✓ Chapter 4: Iterator in Python ✓ Chapter 5: Python Generators

Start Learning Python Right Now!

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Python for Data Science: The Ultimate Step-by-Step Guide to Learn Python In 7 Days & NLP, Data Science from with Python

Python for Data Science: The Ultimate Step-by-Step Guide to Learn Python In 7 Days & NLP, Data Science from with Python (Master The basics of Data Science and Improve Artificial Intelligence)

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Author(s): Wilson, Richard

Year: 2021

Want to get started on data science?

Data science is one of the emerging technologies that is set to radically transform the job market. With applications in almost every industry, data science experts will have no shortage of great job offers. But, the whole field may seem a little intimidating if your background is not specific to data science.

★ Here just a little preview of what you’ll find inside this book:

•    A thorough and simple explanation of data science and the way it works.
•    Basics of data science and fundamental skills you need to get started
•    Data science libraries you need to learn to become a data whizz
•    A blueprint for the most used frameworks for Python data science
•    How to process and understand the data and design your own projects


★ On the program:

•    What is a data scientist?
•    What languages should be learned?
•    The three musketeers of Data Science
•    Python introduction
•    Languages do you need to learn for data science
•    These are some of the topics covered in this book:
•    •Machine Learning Algorithms
•    K NN - Nearest Neighbor Method
•    SVC - Support vector machine
•    Mathematics for Data Analysis
•    Working with Threads in Python
•    Working with processes in Python

Even if you’re an absolute beginner with little programming experience, you will find this book easy to follow and implement. This guide is your first step towards a successful data science career, so don’t hesitate!

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18 March, 2021

Practical Python Projects

Practical Python Projects

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Author(s): Muhammad Yasoob Ullah Khalid

Publisher: Muhammad Yasoob Ullah Khalid, Year: 2021

The Practical Python Projects book demonstrates how to combine different libraries and frameworks to build amazing things.
When learning to program, most books, websites, and tutorials focus on teaching the intricacies of the language. They do not teach how to create and implement end-to-end projects for things like aggregating movie trailers, tracking sports teams, getting information about video games, and other real-world topics.

This often leaves a void in people's understanding of how to execute the very things that inspire them to get into coding. This book is my attempt to fix this problem. I will teach you everything you need to know to take your project from idea to execution and eventually deployment.

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07 March, 2021

Introduction to Deep Learning and Neural Networks with Python: A Practical Guide

 

Introduction to Deep Learning and Neural Networks with Python: A Practical Guide

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by Ahmed Fawzy Gad, Fatima Ezzahra Jarmouni
  • Length: 300 pages
  • Edition: 1
  • Publisher: Academic Press
  • Publication Date: 2020-12-10
  • Introduction to Deep Learning and Neural Networks with Python™: A Practical Guide is an intensive step-by-step guide for neuroscientists to fully understand, practice, and build neural networks. Providing math and Python™ code examples to clarify neural network calculations, by book’s end readers will fully understand how neural networks work starting from the simplest model Y=X and building from scratch. Details and explanations are provided on how a generic gradient descent algorithm works based on mathematical and Python™ examples, teaching you how to use the gradient descent algorithm to manually perform all calculations in both the forward and backward passes of training a neural network.
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05 March, 2021

Hands-On Quantum Information Processing with Python: Get Up and Running with Information Processing and Computing Based on Quantum Mechanics Using Python

 

Hands-On Quantum Information Processing with Python: Get Up and Running with Information Processing and Computing Based on Quantum Mechanics Using Python

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Author(s): Makhamisa Senekane

Publisher: Packt Publishing, Year: 2021

Description:

Explore the potential of quantum information processing and understand the state of a quantum system with this practical guide


Key Features:

  • Get well-versed with quantum information processing using Python
  • Understand the basics of quantum cryptography by implementing quantum key distribution protocols in Python
  • Implement well-known games such as the CHSH and GHZ games using quantum strategies and techniques


Book Description:

Quantum computation is the study of a subclass of computers that exploits the laws of quantum mechanics to perform certain operations that are thought to be difficult to perform on a non-quantum computer.


Hands-On Quantum Information Processing with Python begins by taking you through the essentials of quantum information processing to help you explore its potential. Next, you'll become well-versed with the fundamental property of quantum entanglement and find out how to illustrate this using the teleportation protocol. As you advance, you'll discover how quantum circuits and algorithms such as Simon's algorithm, Grover's algorithm, and Shor's algorithm work, and get to grips with quantum cryptography by implementing important quantum key distribution (QKD) protocols in Python. You will also learn how to implement non-local games such as the CHSH game and the GHZ game by using Python. Finally, you'll cover key quantum machine learning algorithms, and these implementations will give you full rein to really play with and fully understand more complicated ideas.


By the end of this quantum computing book, you will have gained a deeper understanding and appreciation of quantum information.


What You Will Learn:

Discover how quantum circuits and quantum algorithms work

Familiarize yourself with non-local games and learn how to implement them

Get to grips with various quantum computing models

Implement quantum cryptographic protocols such as BB84 and B92 in Python

Explore entanglement and teleportation in quantum systems

Find out how to measure and apply operations to qubits

Delve into quantum computing with the continuous-variable quantum state

Get acquainted with essential quantum machine learning algorithms


Who this book is for:

This book is for developers, programmers, or undergraduates in computer science who want to learn about the fundamentals of quantum information processing. A basic understanding of the Python programming language is required, and a good grasp of math and statistics will be useful to get the best out of this book.

04 March, 2021

Learn Python Programming For Beginners: The Complete Guide To Easily Get From Beginner To Advanced Level

Learn Python Programming For Beginners: The Complete Guide To Easily Get From Beginner To Advanced Level

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by LEWIS SMITH
  • Length: 131 pages
  • Edition: 1
  • Publication Date: 2021-02-21
  • Learn Python Programming for Beginners–The Ultimate and Complete Tutorial to Easily Get the Python Intermediate Level with Step-by-Step Practical Exercise, to Code with Python Starting from Scratch.

    Learning to code is essential to keep up with the times, increasing the opportunities that life has to offer you.

    Whether you are a tech enthusiast, enterprising student, or entrepreneur, if you choose to learn Python you are making the right and winning choice.

    Web development? Artificial intelligence? Automation and IoT? Python is all of this and more!

    Python can be used as an effective choice in any application and project, be it small or large. This characteristic makes it encountered in any modern software development scenario.

    Did you know that Python is one of the languages behind extremely popular services and websites like Instagram, YouTube, Reddit, and Mozilla?

    You cannot enter the magic and rich IT world without knowing what Python is and how it works…

    … and this incredibly exhaustive tutorial will give you all the knowledge and information you need to become a Python Pro!

    In this book, you will:

    • Clearly and Easily Understand What  Python Is and How It Works, starting from the instructions to correctly install it on your PC to show you how it runs and works.
    • Discover Secret Tips and Tricks to Get Started with Python for Beginners to enhance your skills and help you with daily data science tasks. If you want to make your Python coding more efficient, do not miss these tips/tricks!
    • Learn the Best Machine Learning Algorithms for Beginners with Coding Samples in Python; it is excellent for algorithmic design, as it is used extensively in data science and machine learning technologies.
    • Get the Fundamentals of Python Data Structures to introduce you to object-oriented design and data structures using this popular programming language, and give you the necessary knowledge to do whatever you want with Python.
    • Learn How Python Makes Decisions to Control Flow in Programming. It is crucial to control the program execution because, in real scenarios, the situations are full of conditions, and if you want your program to mimic the real world closer, then you need to transform those real-world situations into your program.
    • … & Lot More!

    For those new to programming, the number one priority is to sit in front of the screen and learn how to program as quickly as possible!

    Python was designed not only to be simple to understand but also fun to use. You can create prototypes and mini-programs very quickly, to immediately experience real satisfaction.

    It is thanks to this simplicity that it has gained not only a great deal of popularity but also a reputation as an “easy to learn language”.

    Python Programming for Beginners will become your best friend in helping you enter the Python world as smoothly as possible; all you need to know and the support is right here at your fingertips.

    You have only to click on the button below and…

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