Python Programming: The Complete Guide to Learn Python for Data Science, AI, Machine Learning, GUI and More With Practical Exercises and I PDF Download

Author: Nicholas Ayden
Publisher: Crawford Press
ISBN: 9781990059926
Category : Computers
Languages : en
Pages : 188

View

Book Description
Are you keen to learn Python Programming? Have you wanted to learn how to become a Python programmer? If so, this guide is the perfect match for people just like you! A general-purpose programming language, whose expansion and popularity is relatively recent. This is Python, a commitment to simplicity, versatility, and rapidity of development. Python is a platform-independent and object-oriented scripting language prepared to perform any type of programming language, from Windows applications to network servers or even web pages. Python is an interpreted language. That means that, unlike languages like C and its variants, Python does not need to be compiled before it is run. Other interpreted languages include PHP and Ruby. Some benefits of using Python- Python comprises a huge standard library for most Internet platforms like Email, HTML, etc. Provide easy readability due to the use of square brackets Easy-to-learn for beginners Having the built-in data types saves programming time and effort from declaring variables Inside this book, Python Programming: The Complete Guide to Learn Python for Data Science, AI, Machine Learning, GUI, and More With Practical Exercises and Interview Questions, you will learn a valuable skill that will improve your coding expertise! Here's what we will talk about in this book: Python Features Basics of Python Data Structures & Object-Oriented Python File management Conditionals, Iterables & Regex in Python Simple recap projects Files & Error Handling In Python Some powerful tips and tricks for beginner Python programmers that will fast-track your journey to becoming a master And Much More! Why wait any longer? "Add to Cart" to receive your book instantly!

Author: Jason Test
Publisher:
ISBN:
Category :
Languages : en
Pages : 359

View

Book Description
Are you looking for a super-fast computer programming course? Would you like to learn the Python Programming Language in 7 days? Do you want to increase your business thanks to the web applications? If so, keep reading: this bundle book is for you! Finally on launch the most complete Python guide with 3 Manuscripts in 1 book: 1-Python for beginners 2-Python for Data Science 4-Python Crash Course Python will introduce you many selected practices for coding . You will discover as a beginner the world of data science, machine learning and artificial intelligence. The following list is just a tiny fraction of what you will learn in this collection bundle. 1) Python for beginners ✓ The basics of Python programming ✓ Differences among programming languages ✓ Vba, SQL, R, Python ✓ Game creation with Pyhton ✓ Easy-to-follow steps for reading and writing codes. ✓ Control flow statements and Error handling ✓ 4 best strategies with NumPy, Pandas, Matplotlib 2) Python for Data science ◆ 4 reason why Python is fundamental for Data Science ◆ Python design patterns ◆ How to use Python Data Analysis in your business ◆ Data visualization optimal tools and techniques ◆ Analysis of popular Python projects templates ◆ How to set up the Python environment for Data Science ◆ Most important Machine Learning Algorithms ◆ How to leverage Data Science in the Cloud 3) Python Crash Course * A Proven Method to Write your First Program in 7 Days * 5 Common Mistakes to Avoid when You Start Coding * A Simple Strategy to Write Clean, Understandable and Flexible Codes * The One Thing You Need to Debug your Codes in Python * 5 Practical exercises to start programming Even if you have never written a programming code before, you will quickly grasp the basics thanks to visual charts and guidelines for coding. Examples and step-by-step guides will guide you during the code-writing learning process. The description of each topic is crystal-clear and you can easily practice with related exercises. You will also learn all the best tricks of writing codes with point by point descriptions of the code elements. If you really wish to to learn Python and master its language, please click the BUY NOW button.

Author: Anthony Adams
Publisher:
ISBN:
Category :
Languages : en
Pages : 556

View

Book Description
Easily Boost Your Skills In Python Programming & Become A Master In Deep Learning & Data Analysis! Python is an interpreted, high-level, general-purpose programming language that emphasizes code readability with its notable use of significant whitespace. What makes Python so popular in the IT industry is that it uses an object-oriented approach, which enables programmers to write clear, logical code for all types of projects, whether big or small. Hone your Python Programming skills and gain a sharp edge over other programmers the EASIEST way possible... with this practical beginner's guide! In his 3-in-1 Python crash course for beginners, Anthony Adams gives novices like you simple, yet efficient tips and tricks to become a MASTER in Python coding for artificial intelligence, neural networks, machine learning, and data science/analysis! Here's what you'll get: Highly innovative ways to boost your understanding in Python programming, data analysis, and machine learning Quickly and effectively stop fraud with machine learning Practical and efficient exercises that make understanding Python quick & easy And so much more! As a beginner, you might feel a bit intimidated by the complexities of coding. Add the fact that most Python Programming crash course guides make learning harder than it has to be! With the help of this 3-in-1 guide, you will be given carefully sequenced Python Programming lessons that'll maximize your understanding, and equip you with all the skills for real-life application! Thrive in the IT industry with this comprehensive Python Programming crash course! Scroll up, Click on "Buy Now", and Start Learning Today!

Author: Andrew Park
Publisher:
ISBN: 9781914167980
Category :
Languages : en
Pages : 394

View

Book Description
★ 55% OFF for Bookstores! Now at $39.95 instead of $49.95! ★ Your Customers Will Never Stop To Use This Complete Guide! Did you know that according to Harvard Business Review the Data Scientist is the sexiest job of the 21st century? And for a reason! If "sexy" means having rare qualities that are much in demand, data scientists are already there. They are expensive to hire and, given the very competitive market for their services, difficult to retain. There simply aren't a lot of people with their combination of scientific background and computational and analytical skills. Data Science is all about transforming data into business value using math and algorithms. And needless to say, Python is the must-know programming language of the 21st century. If you are interested in coding and Data Science, then you must know Python to succeed in these industries! Data Science for Beginners is the perfect place to start learning everything you need to succeed. Contained within these four essential books are the methods, concepts, and important practical examples to help build your foundation for excelling at the discipline that is shaping the modern word. This bundle is perfect for programmers, software engineers, project managers and those who just want to keep up with technology. With these books in your hands, you will: ● Learn Python from scratch including the basic operations, how to install it, data structures and functions, and conditional loops ● Build upon the fundamentals with advanced techniques like Object-Oriented Programming (OOP), Inheritance, and Polymorphism ● Discover the importance of Data Science and how to use it in real-world situations ● Learn the 5 steps of Data Analysis so you can comprehend and analyze data sitting right in front of you ● Increase your income by learning a new, valuable skill that only a select handful of people take the time to learn ● Discover how companies can improve their business through practical examples and explanations ● And Much More! This bundle is essential for anyone who wants to study Data Science and learn how the world is moving to an open-source platform. Whether you are a software engineer or a project manager, jump to the next level by developing a data-driven approach and learning how to define a data-driven vision of your business! Order Your Copy of the Bundle and Let Your Customers Start Their New Career Path Today!

Author: Andrew Park
Publisher:
ISBN: 9781914167553
Category :
Languages : en
Pages : 250

View

Book Description
Master The World Of Machine Learning And Data Science With This Comprehensive 2-in-1 bundleIf you want to learn more about Machine Learning and Data Science or how to master them with Python quickly and easily, then keep reading. Data Science and Machine Learning are one of the biggest buzzwords in the business world nowadays. Many businesses know the importance of collecting information, but as they can collect so much data in a short period, the real question is: "what is the next step?" Data Science includes all the different steps that you take with the data: collecting and cleaning them, analyzing them, applying Machine Learning algorithms and models, and then presenting your findings from the analysis with some good Data Visualizations. Machines and automation represent a huge part of our daily life. They are becoming part of our experience, and existence. Artificial Intelligence is currently one of the most thriving fields any programmer would wish to delve into, and for a good reason: this is the future! Simply put, Machine Learning is about teaching machines to think and make decisions as we would. The difference between the way machines learn and the way we do is that while for the most part we learn from experiences, machines learn from data. In book one, PYTHON MACHINE LEARNING, you will learn: What is Machine Learning and how it is applied in real-world situations Understanding the differences between Machine Learning, Deep Learning, and Artificial Intelligence Machine learning training models, Regression techniques and Linear Regression in Python How to use Lists and Modules in Python The 12 essential libraries for Machine Learning in Python Artificial Neural Networks And Much More! In book two, PYTHON DATA SCIENCE, you will learn: What Data Science is all about and why so many companies are using it to give them a competitive edge. Why Python and how to use it to implement Data Science The main Data Structures & Object-Oriented Programming, Functions and Modules in Python with practical codes and exercises The 7 most important algorithms and models in Data Science Data Aggregation, Group Operations, Databases and Data in the Cloud 9 important Data Mining techniques in Data Science And So Much More! Where most books only focus on how collecting and cleaning the data, this book goes further, providing guidance on how to perform a proper analysis in order to extract precious information that may be vital for a business. Don't miss the opportunity to master the key points of Machine Learning technology and understand how researchers are breaking the boundaries of Data Science to mimic human intelligence in machines. Even if some Machine Learning concepts and algorithms can appear complex to most computer programming beginners, this book takes the time to explain them in a simple and concise way. Understanding Machine Learning and Data Science is easier than it looks. You just need the right guidance. And this bundle provides all the knowledge you need in a simple and practical way. Regardless of your previous experience, you will learn the techniques to manipulate and process datasets, the principles of Python programming, and its most important real-world applications. Would You Like To Know More?Scroll Up and Click the BUY NOW Button to Get Your Copy!

Author: David Files
Publisher: David Files
ISBN: 9781802290592
Category :
Languages : en
Pages : 250

View

Book Description
3 Books in 1 Boxset Included books: Python Programming: The Crash Course To Learn How To Master Python Coding Language With PRACTICAL Exercises To APPLY Theory And Some TIPS and TRICKS To Learn Faster Computer Programming Machine Learning: A Comprehensive Journey From Beginner To Advanced Level To Understand WHY You MUST Keep Pace With Innovation, Artificial Intelligence and Big Data With Practical Examples Python Machine Learning: Everything You Should Know About Python Machine Learning Including Scikit Learn, Numpy, PyTorch, Keras And Tensorflow With Step-By-Step Examples and Practical Exercises

Author: Erick Thompson
Publisher:
ISBN:
Category :
Languages : en
Pages : 266

View

Book Description
Are you looking for a crash course that will help you learn Python? Do you want to master data science using python? If yes, then keep reading! Python is one of the most popular programming languages in the word in 2020 and specially for data science. Every day people use it to do cool things like Automation, they use it in Artificial Intelligence, Machine Learning, as well as Building Applications and Websites like Instagram and Dropbox. YouTube, Pinterest, and SurveyMonkey are all built on Python. So if you are looking for a trendy job, like data scientist, Python is for you. This is a Python guide with 2 Books in 1: Python crash course Python for data analysis Python has seen an explosion in popularity in recent years, driven by several aspects that make it an incredibly versatile and intuitive language. Moreover, data analysis plays a significant job in numerous parts of your regular day to day existence today. Organizations use information to Understand Their Customer Needs and produce the Best Possible Product or Service. Python Programming Language is one of the best framework with regards to information examination. Data Scientist is the most requested job of the 21st century and Python is the most popular programming language of the 21st century. So it's pretty obvious that anyone have skills in both Data Science and Python will be in great demand in industry. You needn't bother with an exhausting and costly reading material. This guide is the best one for every readers. This guide covers: The world of data science technologies Application of machine learning Data scientist: the sexiest job in the 21st century Learning Python from scratch Data analysis with Python NumPy for numerical data processing Data visualization with Python Projects on Python And much more! Despite its simplicity, Python is also sturdy and robust enough to carry out complex scientific and mathematical tasks. Python has been designed with features that drastically simplify the visualization and analysis of data, and Python is also the go-to choice for the creation of machine learning models and artificial intelligence. Be it machine learning, data analytics, data processing, web development, enterprise software development or taking the photo of Blackhole: Python is everywhere. Beloved by the data scientists and new generation developers, Pyhton will eat the word! Ready to get started? Click the BUY NOW button!

Author: Andrew Park
Publisher: Andrew Park
ISBN: 9781801770286
Category :
Languages : en
Pages : 162

View

Book Description
★ 55% OFF for Bookstores! NOW at $ 13.49 instead of $ 29.97! LAST DAYS! ★ Do you want to learn how to design and master different Machine Learning algorithms quickly and easily?Your Customers Will Love This Amazing Guide! Today, we live in the era of Artificial Intelligence. Self-driving cars, customized product recommendations, real-time pricing, speech and facial recognition are just a few examples proving this truth. Also, think about medical diagnostics or automation of mundane and repetitive labor tasks; all these highlight the fact that we live in interesting times. From research topics to projects and applications in different stages of production, there is a lot going on in the world of Machine Learning. Machines and automation represent a huge part of our daily life. They are becoming part of our experience and existence. This is Machine Learning. Artificial Intelligence is currently one of the most thriving fields any programmer would wish to delve into, and for a good reason: this is the future! Simply put, Machine Learning is about teaching machines to think and make decisions as we would. The difference between the way machines learn and the way we do is that while for the most part we learn from experiences, machines learn from data. Starting from scratch, Python Machine Learning explains how this happens, how machines build their experience and compounding knowledge. Data forms the core of Machine Learning because within data lie truths whose depths exceed our imagination. The computations machines can perform on data are incredible, beyond anything a human brain could do. Once we introduce data to a machine learning model, we must create an environment where we update the data stream frequently. This builds the machine's learning ability. The more data Machine Learning models are exposed to, the easier it is for these models to expand their potential. Some of the topics that we will discuss inside include: What is Machine Learning and how it is applied in real-world situations Understanding the differences between Machine Learning, Deep Learning, and Artificial Intelligence Supervised learning, unsupervised learning, and semi-supervised learning The place of Regression techniques in Machine Learning, including Linear Regression in Python Machine learning training models How to use Lists and Modules in Python The 12 essential libraries for Machine Learning in Python What is the Tensorflow library Artificial Neural Networks And Much More! While most books only focus on widespread details without going deeper into the different models and techniques, Python Machine Learning explains how to master the concepts of Machine Learning technology and helps you to understand how researchers are breaking the boundaries of Data Science to mimic human intelligence in machines using various Machine Learning algorithms. Even if some concepts of Machine Learning algorithms can appear complex to most computer programming beginners, this book takes the time to explain them in a simple and concise way. Would You Like To Know More? Buy It NOW And Let Your Customers Get Addicted To This Amazing Book!

Author: Daniel O'Reilly
Publisher:
ISBN: 9781801825887
Category : Computers
Languages : en
Pages : 292

View

Book Description
★ 55% OFF for Bookstores! NOW at $32.95 instead of $42.95★ Would You Like to Know How to Automate Boring Stuff Quickly? Discover the Easiest Way to Learn Everything About Python and Machine Learning! Are you ready to embark on a great journey through the incredible world of Python and data science? If you are reading this, you probably have a keen interest in programming and computer science. You like to know how things work, and you want to make them work as efficiently as possible, right? If so, then Python is the perfect programming language for you to learn! Would you like to: Learn how programming in Python works? Learn to automate tasks with Python? Bring your ideas to life faster and monetize them easily? But you: Have no prior knowledge about Python? Are a little bit afraid because it seems complicated? Well, if the answer to any question is "yes," then the solution you are looking for is right in front of you. With this incredible bundle in your hands, you will go from beginner to pro in no time. The guides found inside this bundle are designed explicitly for people with little or no prior knowledge about Python programming. Every manual is written in a step-by-step and easy to digest manner so that you can understand Python without any trouble. Here's what this bundle about Python programming and data science can offer you: Basics of programming with Python: A comprehensive guide on how to get everything up and running. Essential tools guide: Learn how to use the best tools that are available for programming with Python. Programming made easy: Quick and easy way to learn how to make amazing and useful programs. Mastering the art of programming: Find out how to go from beginner to pro in no time with unique coding methods. Practical techniques and exercises: Put your knowledge to test and bring your ideas to life in no time. It doesn't matter if you are a beginner or you have never coded before; this guide will slowly ease you into the world of Python and data science. While most of the other similar books focus purely on theory and complicated concepts, these guides focus on a more practical approach to learning Python and data science. First of all, you'll learn basic programming concepts, such as variables, lists, classes, and loops. Then you will practice clean code writing and how to test your code safely. After that, you'll be able to put your knowledge to the test with some practical projects. Here is what else this bundle will show you: The basics of data types, variables, and structures How to properly define the data type of data structure Suitable types of operations and functions for data structuring Methods and applications of data analysis The basics of neural networks and how to create one Use of algorithm and models in data science Using data for prediction and deep learning The best thing about Python is that it's easy to learn and even easier to get up and running. By using tools like Django, for example, you can quickly bring your ideas and creations to life and start monetizing them in no time. The second best thing about learning how to program in Python is the advantage you'll have when you start learning other programming languages-after you master Python, learning different programming languages will be a piece of cake. If you want to conquer the Python programming language in no time, all you have to do is take these guides in your hands and follow the step-by-step instructions. Get Your Copy Now!

Author: Aaron Khan
Publisher:
ISBN: 9781702806268
Category :
Languages : en
Pages : 106

View

Book Description
Python is a powerful modern computer programming language and it is easy to learn. The syntax is simple and it allows the programmers to state their ideas in fewer lines of codes. It is an interpreted language and no compilation is necessary. It is often used as a scripting language and it is available on Windows, Mac OS and UNIX operating systems. The variable and argument declarations are not necessary as it is determined implicitly. One major advantage of using Python is that it is platform-independent and you can run it on any operating system without any issues. Many people are scared to get into any type of coding because they think that it will be too hard or that they will never be able to figure it all out. But when they take a look at Python, they see how easy coding can be. That is what this guidebook took some time to look at this, and looked at some of the different codes that you want to write with this kind of coding language. We also took it a bit of the more advanced types of coding that you can do with this language as well, ensuring that you are going to be able to get the results that you would like. There are a lot of things that you are able to do with the Python language and how you can use it with machine learning. This guidebook is going to take some time to look at all of these aspects so you can do some of the codings in the process. When you are ready to begin your journey with Python, make sure to check out this guidebook to help you get started! --->This guide will focus on the following: *Data Types and Variables *Data Structures *The Files *Types of Machine Learning *Machine Learning Algorithms *Neural Networks *If, Then Statements.... AND MORE! Scroll Up and Click the Buy Now Button to start your Journey with Python Programming!