Articles about Python

While many introductory guides to AI are calculus books in disguise, this one -- Applied Machine Learning and AI for Engineers -- mostly eschews the math.

Instead, author Jeff Prosise helps engineers and software developers build an intuitive understanding of AI to solve business problems. Need to create a system to detect the sounds of illegal logging in the rainforest, analyze text for sentiment, or predict early failures in rotating machinery? This practical book teaches you the skills necessary to put AI and machine learning to work at your company.

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Does it seem like your Python projects are getting bigger and bigger?

Are you feeling the pain as your codebase expands and gets tougher to debug and maintain? Python is an easy language to learn and use, but that also means systems can quickly grow beyond comprehension. Thankfully, Python has features to help developers overcome maintainability woes.

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Ever wanted to learn Python using ChatGPT/GPT-4? The process is easier than you might think.

This book is intended primarily for people who want to learn both Python 3 and how to use ChatGPT with Python. It covers an introduction to fundamental aspects of Python programming, including various data types, number formatting, Unicode handling, and text manipulation techniques, loops, conditional logic, and reserved words in Python.

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Let Python do the heavy lifting for you as you analyze large datasets.

Python for Data Science for Dummies lets you get your hands dirty with data using one of the top programming languages. This beginner’s guide takes you step by step through getting started, performing data analysis, understanding datasets and example code, working with Google Colab, sampling data, and beyond.

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The field of deep learning has developed rapidly recently and today covers a broad range of applications.

This makes it challenging to navigate and hard to understand without solid foundations. Python Deep Learning will guide you from the basics of neural networks to the state-of-the-art large language models in use today.

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The Second Edition of Machine Learning Engineering with Python is the practical guide that MLOps and ML engineers need to build solutions to real-world problems.

It will provide you with the skills you need to stay ahead in this rapidly evolving field. The book takes an examples-based approach to help you develop your skills and covers the technical concepts, implementation patterns, and development methodologies you need.

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In today's competitive job market, a project portfolio often outshines a traditional resume.

Python Real-World Projects empowers you to get to grips with crucial Python concepts while building complete modules and applications. With two dozen meticulously designed projects to explore, this book will help you showcase your Python mastery and refine your skills.

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Python’s latest updates add numerous libraries that can be used to perform critical security-related missions, including detecting vulnerabilities in web applications, taking care of attacks, and helping to build secure and robust networks that are resilient to them.

This fully updated third edition of Python for Security and Networking will show you how to make the most of them and improve your security posture.

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We live in a serendipitous era where the explosion in the quantum of data collected and a renewed interest in data-driven techniques such as machine learning (ML), has changed the landscape of analytics, and with it, time series forecasting.

This book, filled with industryed tips and tricks, takes you beyond commonly used classical statistical methods such as ARIMA and introduces to you the latest techniques from the world of ML. This is a comprehensive guide to analyzing, visualizing, and creating state-of-the-art forecasting systems, complete with common topics such as ML and deep learning (DL) as well as rarely touched-upon topics such as global forecasting models, cross-validation strategies, and forecast metrics.

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With computing power increasing exponentially and costs decreasing at the same time, there is no better time to learn machine learning using Python. Machine learning tasks that once required enormous processing power are now possible on desktop machines. However, machine learning is not for the faint of heart -- it requires a good foundation in statistics, as well as programming knowledge.

Python Machine Learning will help coders of all levels master one of the most in-demand programming skillsets in use today.

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Teach Yourself VISUALLY: Python is your personal guide to getting you started in programming. As one of the world's most popular -- and most accessible -- coding languages, Python is your gateway into the wide and wonderful world of computer science.

This hands-on guide walks you through Python step by clearly illustrated step, from writing your very first Python code in a terminal window or the VS Code app through to creating your own lists, dictionaries, and custom classes.

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Discover the power of one of the fastest growing programming languages in the world with this insightful new resource.

The Python Book delivers an essential introductory guide to learning Python for anyone who works with data but does not have experience in programming. The author, an experienced data scientist and Python programmer, shows readers how to use Python for data analysis, exploration, cleaning, and wrangling. Readers will learn what in the Python language is important for data analysis, and why.

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Python is among the most popular programming languages in the world. It’s ideal for beginners because it’s easy to read and write, and for developers because it’s widely available with a strong support community, extensive documentation, and phenomenal libraries -- both built-in and user-contributed.

Expert authors have designed this project-based course to get you up and running with Python.

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Gone are the days of manually logging on to different devices to type the same configuration commands over and over again. With this book, you'll find out how you can automate your network infrastructure using Python.

You'll get started on your network automation journey with a hands-on introduction to the network programming basics to complement your infrastructure knowledge. You'll learn how to tackle different aspects of network automation using Python programming and a variety of open source libraries.

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Learn Python Programming, Third Edition is both a theoretical and practical introduction to Python, an extremely flexible and powerful programming language that can be applied to many disciplines.

This book will make learning Python easy and give you a thorough understanding of the language. You'll learn how to write programs, build modern APIs, and work with data by using renowned Python data science libraries.

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