Learn Python In A Weekend
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Learn Python In A Weekend
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Author : Sheila Córcoles
language : en
Publisher:
Release Date : 2020-11-04
Learn Python In A Weekend written by Sheila Córcoles and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11-04 with categories.
LEARN PYTHON IN THE FASTEST AND EASIEST WAY Learn Python in a weekend offers you a learning method that will allow you to learn Python in a short period of time, specifically in a weekend!Our experience has demonstrated us that the best way to learn is to do it while having fun and with a methodology that will teach you progressively all the concepts you need to know.In the first part of the book you will find an explanation of the programming language along with an introduction to the programming environment.In the second part of the book you will find a total of 100 exercises of progressive difficulty in which, in addition to guiding you step by step, we explain all the theoretical concepts of programming that you need to know to be able to carry them out. The book contains downloadable material! INDEX 1. Introduction2.- What do I need to start?3.- Learning process4.- Python5.- Development environment6.- Handling of messages on the screen7.- Use of basic data types8.- Control of the flow of a program9.- Loops10.- Project 111.- Functions12.- Project 213.- Basic object-oriented programming14.- Project 315.- Advanced object-oriented programming16.- Working with files17.- Exception control18.- Project 419.- Final Project20.- Annexes
Mastering Machine Learning With Python In Six Steps
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Author : Manohar Swamynathan
language : en
Publisher: Apress
Release Date : 2019-10-01
Mastering Machine Learning With Python In Six Steps written by Manohar Swamynathan and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-10-01 with Computers categories.
Explore fundamental to advanced Python 3 topics in six steps, all designed to make you a worthy practitioner. This updated version’s approach is based on the “six degrees of separation” theory, which states that everyone and everything is a maximum of six steps away and presents each topic in two parts: theoretical concepts and practical implementation using suitable Python 3 packages. You’ll start with the fundamentals of Python 3 programming language, machine learning history, evolution, and the system development frameworks. Key data mining/analysis concepts, such as exploratory analysis, feature dimension reduction, regressions, time series forecasting and their efficient implementation in Scikit-learn are covered as well. You’ll also learn commonly used model diagnostic and tuning techniques. These include optimal probability cutoff point for class creation, variance, bias, bagging, boosting, ensemble voting, grid search, random search, Bayesian optimization, and the noise reduction technique for IoT data. Finally, you’ll review advanced text mining techniques, recommender systems, neural networks, deep learning, reinforcement learning techniques and their implementation. All the code presented in the book will be available in the form of iPython notebooks to enable you to try out these examples and extend them to your advantage. What You'll Learn Understand machine learning development and frameworks Assess model diagnosis and tuning in machine learning Examine text mining, natuarl language processing (NLP), and recommender systems Review reinforcement learning and CNN Who This Book Is For Python developers, data engineers, and machine learning engineers looking to expand their knowledge or career into machine learning area.
Learn Python Programming Fast
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Author : Maxim Brooks
language : en
Publisher: Oladosun Mopelola Opeyemi
Release Date : 2025-05-26
Learn Python Programming Fast written by Maxim Brooks and has been published by Oladosun Mopelola Opeyemi this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-26 with Computers categories.
Finally, a Python Guide That Makes Sense! Go From Zero to Coding Hero Without the Headache! Are you fascinated by the power of Python but worried it's too complicated to learn? Have you tried other resources that left you feeling confused and frustrated? Do you wish there was a straightforward, step-by-step guide that actually makes learning Python enjoyable and accessible? Your search ends here! "LEARN PYTHON PROGRAMMING FAST: A Step-by-Step Guide for Absolute Beginners" is specifically designed to take you from complete novice to confident Python programmer – without the technical overwhelm. This isn't just another dry programming manual. Inside, you'll find a friendly, encouraging approach that breaks down even the most fundamental concepts into easy-to-digest lessons. You'll solidify your understanding with practical exercises at the end of every chapter, ensuring that learning sticks. Inside This Comprehensive Beginner's Guide, You'll Master: Setting up your Python environment quickly and easily. Understanding the core building blocks of Python: variables, data types, and operators. Working with text (strings) like a pro. Making your programs smart with conditional statements. Automating tasks with powerful loops. Organizing and managing data using lists and dictionaries. Writing efficient and reusable code with functions. Handling errors gracefully so your programs don't crash. Basic file operations to interact with your system. Leveraging Python's built-in tools with modules. And much more, all explained in a way that just clicks! Stop feeling intimidated by code. "LEARN PYTHON PROGRAMMING FAST" is your trusted companion on the journey to Python mastery. Each chapter concludes with exercises designed to reinforce your learning and build practical skills. But that's not all! To accelerate your learning and provide ongoing support, you'll also receive these 3 value-packed bonuses: Python Cheat Sheet: Your quick reference guide to essential commands. Simple Debugging Strategies for Beginners: Master the art of finding and fixing errors. Common Python Errors and How to Fix Them: Be prepared for challenges and know how to overcome them. Ready to finally realize your coding potential and build real-world skills? Scroll up and click the "Buy Now" button today and claim these incredible bonuses to supercharge your Python journey!
Interpretable Machine Learning With Python
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Author : Serg Masís
language : en
Publisher: Packt Publishing Ltd
Release Date : 2021-03-26
Interpretable Machine Learning With Python written by Serg Masís and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-03-26 with Computers categories.
A deep and detailed dive into the key aspects and challenges of machine learning interpretability, complete with the know-how on how to overcome and leverage them to build fairer, safer, and more reliable models Key Features Learn how to extract easy-to-understand insights from any machine learning model Become well-versed with interpretability techniques to build fairer, safer, and more reliable models Mitigate risks in AI systems before they have broader implications by learning how to debug black-box models Book DescriptionDo you want to gain a deeper understanding of your models and better mitigate poor prediction risks associated with machine learning interpretation? If so, then Interpretable Machine Learning with Python deserves a place on your bookshelf. We’ll be starting off with the fundamentals of interpretability, its relevance in business, and exploring its key aspects and challenges. As you progress through the chapters, you'll then focus on how white-box models work, compare them to black-box and glass-box models, and examine their trade-off. You’ll also get you up to speed with a vast array of interpretation methods, also known as Explainable AI (XAI) methods, and how to apply them to different use cases, be it for classification or regression, for tabular, time-series, image or text. In addition to the step-by-step code, this book will also help you interpret model outcomes using examples. You’ll get hands-on with tuning models and training data for interpretability by reducing complexity, mitigating bias, placing guardrails, and enhancing reliability. The methods you’ll explore here range from state-of-the-art feature selection and dataset debiasing methods to monotonic constraints and adversarial retraining. By the end of this book, you'll be able to understand ML models better and enhance them through interpretability tuning. What you will learn Recognize the importance of interpretability in business Study models that are intrinsically interpretable such as linear models, decision trees, and Naïve Bayes Become well-versed in interpreting models with model-agnostic methods Visualize how an image classifier works and what it learns Understand how to mitigate the influence of bias in datasets Discover how to make models more reliable with adversarial robustness Use monotonic constraints to make fairer and safer models Who this book is for This book is primarily written for data scientists, machine learning developers, and data stewards who find themselves under increasing pressures to explain the workings of AI systems, their impacts on decision making, and how they identify and manage bias. It’s also a useful resource for self-taught ML enthusiasts and beginners who want to go deeper into the subject matter, though a solid grasp on the Python programming language and ML fundamentals is needed to follow along.
Head First Learn To Code
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Author : Eric Freeman
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2018-01-02
Head First Learn To Code written by Eric Freeman and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-01-02 with Computers categories.
What will you learn from this book? It's no secret the world around you is becoming more connected, more configurable, more programmable, more computational. You can remain a passive participant, or you can learn to code. With Head First Learn to Code you'll learn how to think computationally and how to write code to make your computer, mobile device, or anything with a CPU do things for you. Using the Python programming language, you'll learn step by step the core concepts of programming as well as many fundamental topics from computer science, such as data structures, storage, abstraction, recursion, and modularity. Why does this book look so different? Based on the latest research in cognitive science and learning theory, Head First Learn to Code uses a visually rich format to engage your mind, rather than a text-heavy approach that puts you to sleep. Why waste your time struggling with new concepts? This multi-sensory learning experience is designed for the way your brain really works.
Weekends With Soul
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Author : Bridget Hilton-Barber
language : en
Publisher: New Africa Books
Release Date : 2001
Weekends With Soul written by Bridget Hilton-Barber and has been published by New Africa Books this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001 with Hotels categories.
Weekends With Legends
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Author : Bridget Hilton-Barber
language : en
Publisher: New Africa Books
Release Date : 2001
Weekends With Legends written by Bridget Hilton-Barber and has been published by New Africa Books this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001 with Travel categories.
This guidebook details short trips out of Gauteng, including discovering the ruins of ancient African kingdoms or staying in historic homes. For each attraction there are details of costs, address, phone, directions on how to get there and facilities.
Practical Django Projects
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Author : James Bennett
language : en
Publisher: Apress
Release Date : 2008-08-31
Practical Django Projects written by James Bennett and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-08-31 with Computers categories.
Build a Django content management system, blog, and social networking site with James Bennett as he introduces the popular Django framework. You'll work through the development of each project, implementing and running the applications while learning new features along the way. Web frameworks are playing a major role in the creation of today's most compelling web applications, because they automate many of the tedious tasks, allowing developers to instead focus on providing users with creative and powerful features. Python developers have been particularly fortunate in this area, having been able to take advantage of Django, a very popular open source web framework whose stated goal is to “make it easier to build better web applications more quickly with less code.” Practical Django Projects is the first book to introduce this popular framework by way of a series of real–world projects.
Show Your Work
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Author : Jane Bozarth
language : en
Publisher: John Wiley & Sons
Release Date : 2014-04-22
Show Your Work written by Jane Bozarth and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-04-22 with Business & Economics categories.
Organizations struggle to capture tacit knowledge. Workers struggle to find answers and information across organizational databases and boundaries and silos. New comfort with social sharing, combined with the proliferation of new social tools, offer easy, useful means of sharing not just what we do but how we get things done. For the organization this supports productivity, improves performance, encourages reflective practice, speeds communication, and helps to surface challenges, bottlenecks, and that elusive tacit knowledge. For the worker it illuminates strengths, talents, struggles, and the reality of how days are spent. For the coworker or colleague it solves a problem, saves time, or builds on existing knowledge. And for management it helps to capture who does what, and how, and otherwise makes visible so much of what is presently opaque. What does showing work mean? It is an image, video, blog post, or use of another tool, or just talking to describe how you solved a problem, show how you fixed the machine, tell how you achieved the workaround, explain how you overcame objections to close the deal, drew the solution to the workflow problem, or photographed the steps you took as you learned to complete a new task. Some of the most effective examples of showing work offer someone explaining how/why they failed, and how they fixed it. Show Your Work offers dozens of examples of individuals and groups showing their work to the benefit of their organizations, their industries, and themselves. Show Your Work offers dozens of real examples of showing work, supported with tips for how to help it happen, how leaders can lead by showing their own work, and how L&D can extend its reach by showing its own work and helping others show theirs.
Scikit Learn Unleashed A Comprehensive Guide To Machine Learning With Python
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Author : Adam Jones
language : en
Publisher: Walzone Press
Release Date : 2025-01-09
Scikit Learn Unleashed A Comprehensive Guide To Machine Learning With Python written by Adam Jones and has been published by Walzone Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-09 with Computers categories.
"Scikit-Learn Unleashed: A Comprehensive Guide to Machine Learning with Python" is your ultimate roadmap to mastering one of Python's most robust machine learning libraries. This guide is perfect for those beginning their journey into machine learning as well as seasoned experts looking to broaden their expertise and refine their techniques. Spanning ten meticulously crafted chapters, this book delves deep into Scikit-Learn's extensive offerings, from foundational concepts to advanced applications. You'll begin your journey with essential machine learning principles and data preprocessing, before advancing to explore both supervised and unsupervised learning techniques. The book also offers insightful guidance on advanced model tuning and customization to ensure an all-encompassing understanding of machine learning. Every chapter is a stepping stone, building on prior knowledge to introduce complex ideas seamlessly with real-world examples that bring theoretical concepts to life. You'll learn to tackle data preprocessing challenges, apply diverse regression and classification algorithms, harness the potential of unsupervised learning, and enhance model performance through ensemble techniques. Moreover, the book covers essential topics like managing text data, model evaluation and selection, dimensionality reduction, and sophisticated tuning for finely customized models. "Scikit-Learn Unleashed" is more than just a tutorial; it is a treasure trove of insights, best practices, and actionable examples. It serves as an indispensable resource for data scientists, machine learning engineers, analysts, and anyone committed to unlocking the power of data through machine learning. Begin your journey with Scikit-Learn and empower yourself to solve complex, real-world problems with confidence and expertise.