Grow With Python Programming From Basics To Advanced
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Grow With Python Programming From Basics To Advanced
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Author : Mark Fliks
language : en
Publisher: John Nunez
Release Date : 2024-06-15
Grow With Python Programming From Basics To Advanced written by Mark Fliks and has been published by John Nunez this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-06-15 with Computers categories.
"Grow with Python Programming: From Basics to Advanced" by Mark Fliks is an extensive guide designed to take readers from the fundamentals of Python programming to more advanced topics. This book offers a comprehensive learning experience, combining clear explanations with hands-on examples to ensure a deep understanding of Python. Key Features: Structured Learning Path: The book is divided into three main sections: Basics, Intermediate, and Advanced, each building upon the previous one to ensure a smooth learning curve. Hands-On Approach: Each chapter includes practical examples and exercises, allowing readers to apply what they've learned immediately. Comprehensive Coverage: From basic syntax and data structures to advanced topics like decorators, generators, and concurrency, this book covers a wide range of Python programming aspects. User-Friendly: Clear, easy-to-follow instructions and a focus on readability make this book accessible to beginners while still providing valuable insights for experienced programmers. Contents Overview: Introduction to Python: History and features of Python Setting up the Python environment Writing and running your first Python script Basic Python Syntax: Variables and data types Basic operators Input and output functions Control Flow: Conditional statements Loops (for, while, nested) Break and continue statements Functions: Defining and calling functions Function arguments and return values Built-in functions Data Structures: Lists, tuples, dictionaries, sets Methods and operations for each data structure Intermediate Topics: Advanced data structures String manipulation Modules and packages File handling Error handling Object-Oriented Programming (OOP): Classes and objects Inheritance, polymorphism, encapsulation Advanced Topics: Decorators and generators Concurrency (multithreading, multiprocessing, asyncio) Working with databases Web development with Flask and Django Web scraping Data Science and Machine Learning: Introduction to data science Simple machine learning projects Why Choose This Book? Comprehensive Guide: It serves as an all-in-one resource for learning Python, from the basics to advanced topics. Practical Examples: Real-world examples and projects help solidify your understanding and provide a practical context. Clear Explanations: The author's straightforward writing style makes complex concepts easier to grasp. Learning Outcomes: By the end of this book, you will: Understand the core concepts of Python programming. Be able to write, debug, and optimize Python code. Have experience with advanced Python features and libraries. Be prepared to tackle real-world programming challenges and projects. Whether you are a beginner looking to start your programming journey or an experienced developer aiming to enhance your skills, "Grow with Python Programming: From Basics to Advanced" is an invaluable resource that will help you achieve your goals.
Python Programming Basic To Advance Programs With Solution
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Author : Dr. Jitendra Singh Kushwah, Mr. Shirish Mohan Dubey Mr. Mahendra Singh Yadav
language : en
Publisher: BFC Publications
Release Date : 2024-06-22
Python Programming Basic To Advance Programs With Solution written by Dr. Jitendra Singh Kushwah, Mr. Shirish Mohan Dubey Mr. Mahendra Singh Yadav and has been published by BFC Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-06-22 with Computers categories.
Learning Python Programming Basic To Advance 2025
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Author : A. Khan
language : en
Publisher: Code Academy
Release Date :
Learning Python Programming Basic To Advance 2025 written by A. Khan and has been published by Code Academy this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
"Learning Python Programming | Basic to Advance 2025" by A. Khan is a complete and practical guide for mastering Python programming. This book is specially designed for beginners, intermediate learners, and even aspiring professionals who want to build real-world Python skills from scratch.
The Programmer S Path Learn Python
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Author : D.K Julius
language : en
Publisher: The Programmer's Path
Release Date : 2026-01-16
The Programmer S Path Learn Python written by D.K Julius and has been published by The Programmer's Path this book supported file pdf, txt, epub, kindle and other format this book has been release on 2026-01-16 with Computers categories.
The Programmer’s Path: Learn Python Beginner Level – Volume I Start your journey into real-world programming with Python. The Programmer’s Path: Learn Python — Beginner Level, Volume I is designed for readers who want more than a surface-level introduction to Python. This book doesn’t just teach syntax. It teaches you how to think like a programmer. Through hands-on examples and practical exercises, you’ll learn Python from the ground up by writing real code, breaking it, fixing it, and understanding why it works. Each chapter builds foundational skills while reinforcing problem-solving habits used by professional developers. This volume covers essential programming concepts and Python fundamentals, including: Software installation and development environment set up Operators and expressions Conditional logic and loops Functions and scope Lists, dictionaries, and basic data structures Writing clean, readable code Debugging techniques and understanding error messages How Python executes your code Introduction to object-oriented programming Mastering classes and inheritance Whether you’re completely new to programming or transitioning from another field, this book provides a structured, practical path to building confidence with Python. By the end of this volume, you’ll be able to write meaningful Python programs, understand how your code behaves, and be fully prepared to continue into intermediate and advanced programming topics. Build. Break. Master. This is the first step on The Programmer’s Path.
Kickstart Python Programming Fundamentals Real World Projects And Hands On Exercises To Cement Every Python Programming Concept
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Author : Jit Sinha
language : en
Publisher: Orange Education Pvt Limited
Release Date : 2025-06-24
Kickstart Python Programming Fundamentals Real World Projects And Hands On Exercises To Cement Every Python Programming Concept written by Jit Sinha and has been published by Orange Education Pvt Limited this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-24 with Computers categories.
Keep Calm and Let Us Tame the Python.. Key Features● Beginner-friendly with clear examples and no prior coding needed.● Step-by-step projects from basics to real-world applications.● Hands-on learning with flowcharts, functions, and data tools.. Book DescriptionPython is more than a programming language—it’s a career catalyst. Whether you're aiming to future-proof your skills, automate everyday tasks, or break into tech, Python is the gateway. Kickstart Python Programming Fundamentals is your launchpad, built specifically for absolute beginners, freshers, students, and professionals with no coding background. With crystal-clear explanations, real-world examples, and zero jargon, this book makes programming accessible, engaging, and fun. You’ll start by writing your first Python program and gradually master essential concepts like variables, loops, functions, and data structures. From there, you'll progress to object-oriented programming, file handling, working with databases, and even get a taste of AI and data analysis. Each chapter includes hands-on exercises and mini-projects to solidify your learning. By the end, you'll not only understand Python—you’ll be building real-world solutions, building a project portfolio, and ready to take on academic, personal, or professional challenges. The future is coded—start your journey today and don’t get left behind. What you will learn● Write and run your first Python programs with confidence.● Understand and use variables, data types, and Python syntax.● Build logic-driven programs using loops and conditionals.● Create clean, reusable code with functions and parameters.● Organize and manipulate data using lists, dictionaries, tuples, and sets.● Read and write files, handle errors, and explore basic AI concepts.● Apply your skills in real-world projects and coding challenges.
Applications Of Artificial Intelligence Machine Learning And Deep Learning In Plant Breeding
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Author : Maliheh Eftekhari
language : en
Publisher: Frontiers Media SA
Release Date : 2024-05-29
Applications Of Artificial Intelligence Machine Learning And Deep Learning In Plant Breeding written by Maliheh Eftekhari and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-29 with Science categories.
Artificial Intelligence (AI) is an extensive concept that can be interpreted as a concentration on designing computer programs to train machines to accomplish functions like or better than hu-mans. An important subset of AI is Machine Learning (ML), in which a computer is provided with the capacity to learn its own patterns instead of the patterns and restrictions set by a human programmer, thus improving from experience. Deep Learning (DL), as a class of ML techniques, employs multilayered neural networks. The application of AI to plant science research is new and has grown significantly in recent years due to developments in calculation power, proficien-cies of hardware, and software progress. AI algorithms try to provide classifications and predic-tions. As applied to plant breeding, particularly omics data, ML as a given AI algorithm tries to translate omics data, which are intricate and include nonlinear interactions, into precise plant breeding. The applications of AI are extending rapidly and enhancing intensely in sophistication owing to the capability of rapid processing of huge and heterogeneous data. The conversion of AI techniques into accurate plant breeding is of great importance and will play a key role in the new era of plant breeding techniques in the coming years, particularly multi-omics data analysis. Advancements in plant breeding mainly depend upon developing statistical methods that harness the complicated data provided by analytical technologies identifying and quantifying genes, transcripts, proteins, metabolites, etc. The systems biology approach used in plant breeding, which integrates genomics, transcriptomics, proteomics, metabolomics, and other omics data, provides a massive amount of information. It is essential to perform accurate statistical analyses and AI methods such as ML and DL as well as optimization techniques to not only achieve an understanding of networks regulation and plant cell functions but develop high-precision models to predict the reaction of new Genetically Modified (GM) plants in special conditions. The constructed models will be of great economic importance, significantly reducing the time, labor, and instrument costs when finding optimized conditions for the bio-exploitation of plants. This Research Topic covers a wide range of studies on artificial intelligence-assisted plant breeding techniques, which contribute to plant biology and plant omics research. The relevant sub-topics include, but are not restricted to, the following: • AI-assisted plant breeding using omics and multi-omics approaches • Applying AI techniques along with multi-omics to recognize novel biomarkers associated with plant biological activities • Constructing up-to-date ML modeling and analyzing methods for dealing with omics data related to different plant growth processes • AI-assisted omics techniques in the plant defense process • Combining AI-assisted omics and multi-omics techniques using plant system biology approaches • Combining bioinformatics tools with AI approaches to analyze plant omics data • Designing cutting-edge workflow and developing innovative AI biology methods for omics data analysis
Dr Dobb S Journal
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Author :
language : en
Publisher:
Release Date : 2005
Dr Dobb S Journal written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005 with Microcomputers categories.
Machine Learning And Deep Learning Using Python And Tensorflow
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Author : Venkata Reddy Konasani
language : en
Publisher: McGraw Hill Professional
Release Date : 2021-04-29
Machine Learning And Deep Learning Using Python And Tensorflow written by Venkata Reddy Konasani and has been published by McGraw Hill Professional this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-04-29 with Technology & Engineering categories.
Understand the principles and practices of machine learning and deep learning This hands-on guide lays out machine learning and deep learning techniques and technologies in a style that is approachable, using just the basic math required. Written by a pair of experts in the field, Machine Learning and Deep Learning Using Python and TensorFlow contains case studies in several industries, including banking, insurance, e-commerce, retail, and healthcare. The book shows how to utilize machine learning and deep learning functions in today’s smart devices and apps. You will get download links for datasets, code, and sample projects referred to in the text. Coverage includes: Machine learning and deep learning concepts Python programming and statistics fundamentals Regression and logistic regression Decision trees Model selection and cross-validation Cluster analysis Random forests and boosting Artificial neural networks TensorFlow and Keras Deep learning hyperparameters Convolutional neural networks Recurrent neural networks and long short-term memory
Python Programming
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Author : Clive Campbell
language : en
Publisher: Independently Published
Release Date : 2019-11-11
Python Programming written by Clive Campbell and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-11-11 with categories.
Get Ready To Understand How To Get Started In The World Of Programming With Python, The Programming Language That Has Grown To Become The First Programming Language Taught In Universities Around The World! Learning python is increasingly becoming necessary, especially as concepts like artificial intelligence, big data, data science, data analytics, machine learning and many others become mainstream with new technologies like self-driving cars, robotics and many others. This probably explains why it is increasingly becoming the preferred first programming language taught in universities around the world - to prepare learners for the next big thing in computing. If you want to be part of this next big thing in computing, you too need to ride the wave by learning python! You won't get anywhere close to understanding machine learning, artificial intelligence, data science and other advanced computing concepts if you don't know python in and out. So where do you start? How do you learn python to be able to use it and set yourself up for the big things that are to come? What makes python such an important programming language to learn? If you have these and any other questions, this book is for you so keep reading! It covers the ins and outs of programming with python, including: The basics of python programming language, including how to install it and run it on different operating systems using different modes How to write your very first program on python The ins and outs of variables in python, including how to name your variables in python, complete with examples Inserting comments in python to keep your code clean How to leverage the power of operators in python How to take advantage of keywords and identifiers in python How to use statements in python How to use different operators in python The ins and outs of methods/functions in python Python methods or functions that you can use to manipulate lists The ins and outs of tuples, escape sequences, negative indexing, and slicing in python The different data types that are used in python, including how to use them effectively for different purposes How to achieve flow control in python using different statements How to unleash the full power of classes and objects in python How to work with dates and time in python Simple projects to get you started How to use python for intermediate and advanced stuff like data analysis, data processing and visualizations How to work with files on python, including different file modes, manipulating them etc. The basics of machine learning and the place of python in different advanced computing concepts And much more! Whether you are completely new to python or want to advance your knowledge of python, this book will hold you by the hand to unleash the python expert within you. It takes a beginner friendly approach, with examples, illustrations, exercises and sample projects to help you to apply what you learn immediately. Are you ready? Click Buy Now With 1-Click or Buy Now to get started!
Financial Data Science With Sas
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Author : Babatunde O Odusami
language : en
Publisher: SAS Institute
Release Date : 2024-06-14
Financial Data Science With Sas written by Babatunde O Odusami and has been published by SAS Institute this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-06-14 with Computers categories.
Explore financial data science using SAS. Financial Data Science with SAS provides readers with a comprehensive explanation of the theoretical and practical implementation of the various types of analytical techniques and quantitative tools that are used in the financial services industry. This book shows readers how to implement data visualization, simulation, statistical predictive models, machine learning models, and financial optimizations using real-world examples in the SAS Analytics environment. Each chapter ends with practice exercises that include use case scenarios to allow readers to test their knowledge. Designed for university students and financial professionals interested in boosting their data science skills, Financial Data Science with SAS is an essential reference guide for understanding how data science is used in the financial services industry and for learning how to use SAS to solve complex business problems.