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Psychology: A Modular Approach by Tanya Martini
English | January 1, 2015 | ISBN: 0176503455 | 850 pages | PDF | 141 Mb
A Modular Approach is an adaptation of the best-selling text by renowned authors and educators John O. Mitterer and Dennis Coon. This first Canadian edition, adapted by Brock University's Tanya Martini, continues to combine the highly effective SQ4R (Survey, Question, Read, Recite, Reflect, Review) active learning system, an engaging style, appealing visuals, and detailed coverage of core topics and cutting-edge research in one remarkable, comprehensive text. Current and relevant to students studying in Canada, this new edition builds on the proven modular format, extensive special features, and teaching and learning tools integrated throughout the text. While the text provides a broad overview of essential psychology topics ideal for introductory courses, its modular design also readily supports more specialized curricula, allowing instructors to use the self-contained instructional units in any combination and order.
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PSYCHOLOGY OF INFLUENCE: A deeper understanding of the human mind how to analyze people and control their course of action
English | January 18, 2023 | ASIN: B0BSNNVSZN | 71 pages | Epub | 735.98 KB
psychology of Influence explores the science behind the art of persuasion, this book provides you with an understanding of how to ethically influence other people's decisions and how to protect yourself from being manipulated by others, it gives you the power to shape someone's thoughts and actions, no matter your background, this book equipped you with the procedures and knowledge to become powerful.
it reveals the dark secrets of hypnosis and how you can use persuasion in a positive way.
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Pure Watercolour Painting: Classic Techniques for Creating Radiant Landscapes by Peter Cronin
English | October 17th, 2017 | ISBN: 1782214356 | 144 pages | True EPUB | 70.53 MB
From the author of the best-selling art book, Sketching for the Absolute Beginner, and guest judge on Channel 5's Watercolour Challenge, Peter Cronin.
Learn how to use traditional watercolour techniques to produce beautiful, contemporary paintings that are full of light, colour and life. Packed with inspirational finished paintings and step-by-step projects, this engaging book teaches you how to use watercolours in their purest form, without the addition of any other media, to create art that has a radiancy and luminosity that cannot be achieved in any other way.
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Pushback: The 2,500-Year Fight to Thwart Women by Restricting Abortion by Mary Fissell
English | March 11, 2025 | ISBN: 1541604075 | 288 pages | PDF | 3.80 Mb
The long history of how restricting access to abortion has been used to curtail women's advancement
Attitudes about abortion cycle between long periods of widespread tolerance, to repression, and back again. What accounts for these pendulum swings? From ancient Greece to the modern West, historian of medicine Mary Fissell argues, abortion repression springs up in response to men's anxieties about women's increasing independence.
In Pushback, Fissell shows that, across centuries and continents, abortion has always been commonplace, and persecuting women for ending pregnancies has been about controlling their behavior. As Protestantism de-emphasized celibacy, new abortion restrictions policed unmarried women's sex lives. Nineteenth-century men unsettled by first-wave feminism hoped to establish medicine as a male profession, and so advocated for abortion bans to undercut women's new roles as physicians. Fissell presents this history through the hidden stories of women committed to reproductive self-determination: holy women of the early Catholic Church whose ability to end pregnancies was considered miraculous, midwives accused of witchcraft or criminal conspiracy, and everyday women whose pregnancies threatened their livelihoods-and their lives.
Pushback is essential reading for understanding the complex history of abortion and making sense of recent crackdowns on reproductive rights.
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Putafeminista: A Manifesto of Sex Worker Feminism by Monique Prada, Amanda De Lisio
English | July 8, 2025 | ISBN: 1558613390 | 96 pages | EPUB | 0.52 Mb
A pioneering manifesto from Brazil about the centrality of sex workers to feminist struggle.
As long as feminism has existed as a movement in Brazil, sex workers have taken to the streets in solidarity-despite the fact that mainstream feminist discourse positions sex work, and the "putas" who enact it, as detrimental to women's rights. In Putafeminista, activist and sex worker Monique Prada calls for feminists to retire this hypocrisy and embrace putafeminism: a working class women's movement that rejects whorephobia and its classist, colonial dimensions.
Drawing on her firsthand experiences with sex work and movement building, Prada argues for the validity of sex work as feminist labor and tracks the innovations introduced by Brazilian sex workers to feminist internet discourse, street actions, and governmental advocacy. For readers seeking the glimmers of tomorrow's feminism, Prada places that future with putafeminists, naming the brothel a "final frontier" for all women to gather, reform, and revolt.
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PySpark na Prática: 500 Comandos e Funções para Engenharia de Dados em Escala (Portuguese Edition) by Leandro Calado
Portuguese | January 28, 2025 | ISBN: N/A | ASIN: B0DVC1ZTSX | 97 pages | EPUB | 0.44 Mb
Transforme sua abordagem em engenharia de dados com "PySpark na Prática: 500 Comandos e Funções para Engenharia de Dados em Escala", o guia definitivo para dominar uma das ferramentas mais poderosas no mundo do Big Data.
Este livro foi projetado para engenheiros de dados, cientistas de dados e entusiastas que desejam construir, transformar e otimizar pipelines de dados com eficiência e precisão. Com 50 capítulos organizados de forma prática, você encontrará desde os fundamentos até comandos avançados que atendem às demandas reais do mercad
que você encontrará neste guia completo:500 comandos e funções explicados em detalhes: Aprenda a carregar, transformar, agregar e visualizar dados em escala.Exemplos práticos e intuitivos: Aplique os conceitos diretamente ao seu dia a dia com códigos e casos de uso do mundo real.Tópicos abrangentes: Desde a manipulação de dados simples até o uso de Machine Learning com o PySpark MLlib.Dicas para otimização de performance: Torne seus pipelines mais rápidos e eficientes para lidar com grandes volumes de dados.Integração com ferramentas modernas: Saiba como trabalhar com bancos de dados, AWS S3, HDFS e muito mais.Escrito com um enfoque prático, este guia é ideal tanto para iniciantes quanto para profissionais experientes que buscam refinar suas habilidades em PySpark e destacar-se no mercado de dados.Por que este livro é diferente?Ao contrário de outros guias genéricos, este livro vai direto ao ponto, com uma abordagem prática e comandos explicados com clareza. Se você está construindo pipelines de dados, otimizando clusters Spark ou apenas explorando o potencial do PySpark, este é o recurso indispensável que você estava procurando.
Domine PySpark e revolucione sua carreira em Big Data e Engenharia de Dados.
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Python AI for Newbies by Leandro Calado
English | March 8, 2025 | ISBN: N/A | ASIN: B0DZQXTPG5 | 180 pages | EPUB | 1.30 Mb
Master Artificial Intelligence Using Python - For People Who Actually Want to Learn
Are you curious about how AI works but get turned off by technical jargon, complicated math, or those 400-slide academic lectures that make you want to take a nap?
This no-nonsense guide shows you how to build real AI applications using Python - without needing a PhD, a master's degree, or a secret handshake.
Whether you're a complete beginner, a student trying to escape PowerPoint purgatory, or someone switching careers because you realized your job could be replaced by a decent API, this book was made to get you building - not just watching tutorials and nodding along.
What You'll Actually Learn:The basics of AI, Machine Learning, and Deep Learning - explained like you're an intelligent adult, not a toddler.How to build your first working AI model using Python (yes, you will type your code, welcome to reality).How to prepare your data and engineer features without crying.The most important AI algorithms - and how to actually apply them without reading three PhD theses first.How to optimize, deploy, and maintain models when they inevitably break (because they will).Real code examples. Step-by-step guidance.
No endless theory dumps. No "motivational quotes." No fluffy unicorn analogies.
Important:
You'll be expected to actually write code - not just copy/paste.
If that sounds exhausting, maybe go find a coloring book instead.
Start your AI journey today -Learn by doing. Struggle a little. Succeed a lot.
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Python Bootcamp: A Rapid Crash Course Featuring Q&A Sessions, Exercises, and Projects
English | 2025 | ASIN: B0F2MCZPDP | 423 Pages | PDF EPUB (True) | 7 MB
The book is organized into three main parts. Part I: Foundations lays the groundwork for your programming journey. You'll begin with setting up your programming environment and introducing essential programming concepts. Next, you'll explore strings, integers, floats, booleans, lists, tuples, and dictionaries, all while learning to create interactive applications. Part II: Building Smart Programs equips you with the tools to enhance your coding skills. You'll learn to make decisions in your programs and learn how to repeat actions efficiently. You'll learn more complex structures and learn about Functions and Modules to create reusable code. Further, you will be introduced to error management, and how to read from and write to files. Part III: Introduction to OOP offers a brief overview of object-oriented programming. You'll explore Classes and Objects and learn about Inheritance, allowing for code reuse and organization.
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Python Data Cleaning Cookbook: Prepare your data for analysis with pandas, NumPy, MatDescriptionlib, scikit-learn, and OpenAI
English | May 31, 2024 | ASIN: B0CL4TBSJS | 893 pages | EPUB (True) | 11.51 MB
Learn the intricacies of data description, issue identification, and practical problem-solving, armed with essential techniques and expert tips.
Key Features
Get to grips with new techniques for data preprocessing and cleaning for machine learning and NLP models
Use new and updated AI tools and techniques for data cleaning tasks
Clean, monitor, and validate large data volumes to diagnose problems using cutting-edge methodologies including Machine learning and AI
Book Description
Jumping into data analysis without proper data cleaning will certainly lead to incorrect results. The Python Data Cleaning Cookbook - Second Edition will show you tools and techniques for cleaning and handling data with Python for better outcomes.
Fully updated to the latest version of Python and all relevant tools, this book will teach you how to manipulate and clean data to get it into a useful form. he current edition focuses on advanced techniques like machine learning and AI-specific approaches and tools for data cleaning along with the conventional ones. The book also delves into tips and techniques to process and clean data for ML, AI, and NLP models. You will learn how to filter and summarize data to gain insights and better understand what makes sense and what does not, along with discovering how to operate on data to address the issues you've identified. Next, you'll cover recipes for using supervised learning and Naive Bayes analysis to identify unexpected values and classification errors and generate visualizations for exploratory data analysis (EDA) to identify unexpected values. Finally, you'll build functions and classes that you can reuse without modification when you have new data.
By the end of this Data Cleaning book, you'll know how to clean data and diagnose problems within it.
What you will learn
Using OpenAI tools for various data cleaning tasks
Producing summaries of the attributes of datasets, columns, and rows
Anticipating data-cleaning issues when importing tabular data into pandas
Applying validation techniques for imported tabular data
Improving your productivity in pandas by using method chaining
Recognizing and resolving common issues like dates and IDs
Setting up indexes to streamline data issue identification
Using data cleaning to prepare your data for ML and AI models
Who this book is for
This book is for anyone looking for ways to handle messy, duplicate, and poor data using different Python tools and techniques. The book takes a recipe-based approach to help you to learn how to clean and manage data with practical examples.
Working knowledge of Python programming is all you need to get the most out of the book.
Table of Contents
Anticipating Data Cleaning Issues When Importing Tabular Data with pandas
Anticipating Data Cleaning Issues When Working with HTML, JSON, and Spark Data
Taking the Measure of Your Data
Identifying Outliers in Subsets of Data
Using Visualizations for the Identification of Unexpected Values
Cleaning and Exploring Data with Series Operations
Identifying and Fixing Missing Values
Encoding, Transforming, and Scaling Features
Fixing Messy Data When Aggregating
Addressing Data Issues When Combining DataFrames
Tidying and Reshaping Data
Automate Data Cleaning with User-Defined Functions, Classes, and Pipelines
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Python Data Science Cookbook: Practical solutions across fast data cleaning, processing, and machine learning workflows with pandas, NumPy, and scikit-learn
English | June 9, 2025 | ASIN: B0FCD22PPS | 213 pages | EPUB (True) | 970.91 KB
This book's got a bunch of handy recipes for data science pros to get them through the most common challenges they face when using Python tools and libraries. Each recipe shows you exactly how to do something step-by-step. You can load CSVs directly from a URL, flatten nested JSON, query SQL and NoSQL databases, import Excel sheets, or stream large files in memory-safe batches.
Once the data's loaded, you'll find simple ways to spot and fill in missing values, standardize categories that are off, clip outliers, normalize features, get rid of duplicates, and extract the year, month, or weekday from timestamps. You'll learn how to run quick analyses, like generating descriptive statistics, Descriptionting histograms and correlation heatmaps, building pivot tables, creating scatter-matrix Descriptions, and drawing time-series line charts to spot trends. You'll learn how to build polynomial features, compare MinMax, Standard, and Robust scaling, smooth data with rolling averages, apply PCA to reduce dimensions, and encode high-cardinality fields with sparse one-hot encoding using feature engineering recipes.
As for machine learning, you'll learn to put together end-to-end pipelines that handle imputation, scaling, feature selection, and modeling in one object, create custom transformers, automate hyperparameter searches with GridSearchCV, save and load your pipelines, and let SelectKBest pick the top features automatically. You'll learn how to test hypotheses with t-tests and chi-square tests, build linear and Ridge regressions, work with decision trees and random forests, segment countries using clustering, and evaluate models using MSE, classification reports, and ROC curves. And you'll finally get a handle on debugging and integration: fixing pandas merge errors, correcting NumPy broadcasting mismatches, and making sure your Descriptions are consistent.
Key Learnings
You can load remote CSVs directly into pandas using read_csv, so you don't have to deal with manual downloads and file clutter.
Use json_normalize to convert nested JSON responses into simple tables, making it a breeze to analyze.
You can query relational and NoSQL databases directly from Python, and the results will merge seamlessly into Pandas.
Find and fill in missing values using IGNSA(), forward-fill, and median strategies for all of your data over time.
You can free up a lot of memory by turning string columns into Pandas' Categorical dtype.
You can speed up computations with NumPy vectorization and chunked CSV reading to prevent RAM exhaustion.
You can build feature pipelines using custom transformers, scaling, and automated hyperparameter tuning with GridSearchCV.
Use regression, tree-based, and clustering algorithms to show linear, nonlinear, and group-specific vaccination patterns.
Evaluate models using MSE, R², precision, recall, and ROC curves to assess their performance.
Set up automated data retrieval with scheduled API pulls, cloud storage, Kafka streams, and GraphQL queries.
Table of Content
Data Ingestion from Multiple Sources
Preprocessing and Cleaning Complex Datasets
Performing Quick Exploratory Analysis
Optimizing Data Structures and Performance
Feature Engineering and Transformation
Building Machine Learning Pipelines
Implementing Statistical and Machine Learning Techniques
Debugging and Troubleshooting
Advanced Data Retrieval and Integration
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Python For Beginners by Tudor Marcianti
English | 2024 | ISBN: 9798227129246 | 162 pages | EPUB | 0.27 Mb
Have you always wanted to learn Python programming but thought it was too difficult? Don't stop at the first challenges, even if you're starting from ZERO, you can learn too!
If you're one of those people eager to discover the world of programming, then "PYTHON FOR BEGINNERS" is the book for you! Specifically written for beginners, this book is the ideal solution for learning the most popular programming language in the world in a simple and effective way.
In the post-pandemic era, the number of companies looking for both remote and on-site programmers has literally exploded. Yet, despite the growing importance of programming, many are still intimidated by technical jargon and the complexity of programming languages.
But there's no need to worry: with the right guidance, anyone can grasp the fundamentals of programming and start creating their own programs. This guide aims to make the beginning of your journey simple, regardless of your current skills or knowledge. You won't need to waste time and effort on high-level academic texts, unnecessarily expensive online courses, or overly technical videos and tutorials.
Designed with beginners in mind, Python For Beginners offers an innovative and interactive approach based on clearly defined goals
Begin a gradual learning path Understand the basic logic of programming Learn the history and main applications of Python to discover its vast potential and benefits Master Python basics Quickly learn how to install and understand code Get familiar with control flows Gain knowledge of loops Learn to use functions Understand what data structures are and how to use them Learn object-oriented programming Deepen your understanding of algorithms and how to build them, presented logically and sequentially Use a dynamic and interactive guide Build a solid theoretical and practical experience Progress with a series of exercises designed to test your skills, create programs, and learn
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Python for Data Science: A Practical Approach to Machine Learning
English | November 15, 2023 | ASIN: B0CNGF2F8G | 330 pages | EPUB (True) | 7.50 MB
Dive into the world of data science with Python for Data Science: A Practical Approach to Machine Learning. This comprehensive guide is meticulously crafted to provide you with the knowledge and skills necessary to excel in the ever-evolving field of data science. Authored by a seasoned writer who understands the nuances of the craft, this book is a masterpiece in itself, delivering a deep dive into the realm of Python and its application in data science. The book's primary focus is on machine learning, making it an invaluable resource for those seeking to harness the power of data to make informed decisions. In Python for Data Science, you'll find a well-structured and organized approach to learning Python, with an emphasis on its real-world applications. The book presents the subject matter with clarity and precision, ensuring that every concept is explained in a coherent and logical manner.
Key highlights of the book include:
A comprehensive introduction to Python, including its syntax and core libraries.
In-depth coverage of data manipulation and analysis using popular libraries like Pandas and NumPy.
A thorough exploration of machine learning algorithms, from the fundamentals to advanced techniques.
Hands-on examples and practical exercises to reinforce your understanding.
Real-world case studies and projects that demonstrate how Python can be used to solve complex data science challenges.
Whether you're a novice looking to embark on a data science journey or an experienced professional seeking to expand your skill set, this book offers something for everyone. Its professionally written content is your gateway to mastering Python and machine learning for data science.
Python for Data Science: A Practical Approach to Machine Learning is more than just a book; it's a comprehensive resource that empowers you to become a proficient data scientist. Dive into the world of data with confidence and transform your career with the knowledge and expertise gained from this remarkable guide.
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Python for Data Science: Foundations in Python: The First Step Toward AI and Machine Learning (Python for Data Science: Learn the Fundamentals of AI, ... Deep Leeping: Tensor Flow, Keras)
English | December 6, 2024 | ASIN: B0DPQX3C8S | 108 pages | EPUB (True) | 481.89 KB
Master Python and Build a Strong Foundation for AI and Machine Learning
Step into the exciting world of artificial intelligence, machine learning, and data science with Foundations in Python: The First Step Toward AI and Machine Learning. This beginner-friendly guide is your gateway to understanding Python, the most powerful programming language driving today's data-driven innovations.
Whether you're an aspiring data scientist, AI enthusiast, or curious learner, this book offers a clear and practical path to mastering Python while preparing you for the advanced realms of AI and machine learning.
What's Inside?
Python Essentials Made Easy: Learn the basics of Python, including variables, data types, operators, and control flow, with simple explanations and examples.
Core Programming Concepts: Build solid coding skills with loops, conditionals, functions, and error handling to tackle real-world challenges.
Working with Data: Explore Python's powerful tools for handling data using lists, dictionaries, sets, and nested structures.
Object-Oriented Programming: Understand how to create custom classes and objects to write reusable and efficient code.
Introduction to Data Science Tools: Get hands-on with NumPy for numerical computing and Pandas for data analysis, setting the stage for future projects.
Practical Applications: Work on real-world examples like processing files, managing data, and automating tasks to reinforce what you've learned.
Why This Book?
A Beginner's Dream: Perfect for those with no prior programming experience, guiding you step-by-step through Python's fundamentals.
A Gateway to the Future: Provides the knowledge you need to explore advanced topics like machine learning and AI confidently.
Learn by Doing: Packed with practical examples, project suggestions, and exercises to solidify your skills.
By the time you finish this book, you'll not only have a deep understanding of Python but also a solid foundation to dive into AI, machine learning, and beyond.
Don't wait to start your journey. Foundations in Python: The First Step Toward AI and Machine Learning is your guide to unlocking the future of technology, one line of code at a time.
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Python Machine Learning: 100 Drills with Solution Diagrams
English | 2024 | ISBN: B0DJZZ33LJ | 615 pages | MOBI | 9.88 Mb
This eBook offers 100 practical exercises designed to master machine learning using Python.Each exercise comes with a detailed solution and accompanying diagram to make the learning process easier.Whether you're a beginner or an advanced user, these drills cover essential algorithms, models, and techniques in machine learning.With clear explanations and step-by-step guides, you can enhance your understanding of Python-based machine learning applications.By practicing regularly with these drills, you will improve your problem-solving skills and gain confidence in applying machine learning in real-world scenarios.The diagrams provided with each solution help clarify complex concepts and ensure a deeper comprehension of the material.This is an ideal resource for anyone who wants to build a strong foundation in machine learning with Python.
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Python Network Programming Tutorial For Beginners: A Comprehensive Beginner's Guide to Understanding and Developing Network Applications
English | November 14, 2024 | ASIN: B0DN5X47W4 | 111 pages | PDF | 1.14 MB
Python Network Programming Tutorial for Beginners: A Comprehensive Beginner's Guide to Understanding and Developing Network Applications offers an accessible and thorough introduction to the world of network programming. Designed for beginners, this book provides a step-by-step journey through the fundamentals of Python network programming, making complex topics understandable and approachable.
Starting with the basics, readers will learn about network protocols, socket programming, and essential Python libraries that enable seamless communication between computers over a network. This guide is packed with real-world examples, exercises, and hands-on projects, helping readers to build confidence as they work through each chapter.
Whether you're looking to develop your own network applications, strengthen your understanding of data transmission, or enter the world of IT and cybersecurity, this guide is an invaluable resource. By the end, readers will possess the foundational skills to create and troubleshoot network-based applications and have the confidence to tackle more advanced networking concepts.
Ideal for beginners with little to no prior experience, Python Network Programming for Beginners is a comprehensive and essential resource for anyone eager to explore the potential of network programming with Python.
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Python Polars: The Definitive Guide: Transforming, Analyzing, and Visualizing Data with a Fast and Expressive DataFrame API by Jeroen Janssens, Thijs Nieuwdorp
English | April 1, 2025 | ISBN: 1098156080 | 501 pages | MOBI | 3.89 Mb
Unlock the power of Polars, a Python package for transforming, analyzing, and visualizing data. In this hands-on guide, Jeroen Janssens and Thijs Nieuwdorp walk you through every feature of Polars, showing you how to use it for real-world tasks like data wrangling, exploratory data analysis, building pipelines, and more.
Whether you're a seasoned data professional or new to data science, you'll quickly master Polars' expressive API and its underlying concepts. You don't need to have experience with pandas, but if you do, this book will help you make a seamless transition. The many practical examples and real-world datasets are available on GitHub, so you can easily follow along.Process data from CSV, Parquet, spreadsheets, databases, and the cloudGet a solid understanding of Expressions, the building blocks of every queryHandle complex data types, including text, time, and nested structuresUse both eager and lazy APIs, and know when to use eachVisualize your data with Altair, hvDescription, Descriptionnine, and Great TablesExtend Polars with your own Python functions and Rust pluginsLeverage GPU acceleration to boost performance even further
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Python Programming : Networking & API Development, Socket, Tornado, HTTPx: Python, #6
English | 2025 | ISBN: 9798231351817 | 799 pages | EPUB (True) | 5.71 MB
Preface
In today's world, networking and API development are the cornerstones of modern software engineering. Whether you're building high-performance web servers, crafting scalable client-server applications, or designing RESTful APIs, understanding the principles and tools that drive network communication is essential. Python, with its ease of use and versatility, has become one of the most popular languages for developing both simple and complex networking systems.
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Python Programming: Networking & API Development
, is designed to take you on a journey through some of the most powerful and essential tools and techniques for modern networking and API development in Python. We will dive deep into key concepts that empower you to build robust network applications, using Python's most popular libraries and frameworks.
In the first section,
Socket - Low-level networking
, we explore the fundamental building blocks of network communication. The socket module provides the underlying layer for transmitting data over networks. It's a vital tool for anyone who wishes to understand how networks work at their core, and this chapter covers the essential socket programming concepts in Python.
Next, we move to
Tornado - Asynchronous Networking Framework
. Tornado is a high-performance web framework and asynchronous networking library that helps you handle thousands of concurrent connections in real-time applications. This chapter will show you how Tornado can be leveraged to build scalable web applications and real-time services that can handle high volumes of traffic.
Finally, in
HTTPx - Modern HTTP Client
, we focus on HTTP communication, the lifeblood of the web. HTTPx provides an asynchronous and feature-rich interface for interacting with HTTP servers, making it an essential tool for modern web development. We will cover its powerful features, including support for HTTP/1.1, HTTP/2, connection pooling, and advanced request handling.
The goal of this book is not just to introduce you to these libraries but to give you the knowledge to use them effectively in real-world applications. Throughout the chapters, we will provide clear examples, practical tips, and best practices, helping you go beyond basic concepts and develop high-quality, production-ready networked applications.
Whether you're a beginner looking to understand the basics of socket programming, or an experienced developer aiming to master asynchronous networking with Tornado and HTTPx, this book is your comprehensive guide to the world of Python-based network programming.
Let's dive in, and start building powerful, efficient networked applications that stand the test of time.
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Python Programming: From Zero to Web Development by E3
English | February 10, 2025 | ISBN: 8230481717 | 738 pages | MOBI | 1.19 Mb
About This BookIntroduction to the Book and Its PurposeThe goal of this book is to teach Python quickly, in detail, and in a straightforward manner to anyone interested in learning the language. The target audience for this book are beginners with no prior programming knowledge. As a result, the book covers topics in a simplified and detailed manner to make the learning process easier.How to Use This BookThe book is composed of lengthy and detailed articles. Reading it like a novel could lead to frustration, as it's not designed to be read passively. To avoid boredom and retain information effectively, active participation is key. Instead of simply reading through the material, try writing plenty of example code. This hands-on approach will help solidify what you learn and make it easier to remember.No one expects you to memorize every detail from this book. A skilled programmer knows how to research a topic and find resources when needed. As you progress with Python, you will likely develop a deeper interest in certain areas and focus your learning on them, naturally retaining more details over time. Also, as you work on projects, you'll be guided to explore specific topics in greater detail, which will enhance your understanding.If you find yourself struggling with a concept, don't get discouraged. If you can't grasp something, simply move on. If you're still uncomfortable, there's no harm in seeking help from others or revisiting the material later.
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Python Projects with Turtle Graphics: Design a Game Interface with Python Turtle Liblary
English | September 17, 2024 | ASIN: B0DHCWJX8G | 183 pages | PDF | 2.32 MB
Python is an easy to use and easy to learn programming language that is freely available on Macintosh, Windows, or Linux computers. So once you learn Python you can use it for the rest of your career without needing to purchase any software.
Here what you'll learn after downloading this book:
# 1: Drawing letter A using Python Turtle
# 2: Wishing Happy New Year 2023 in Python Turtle
# 3: Draw Spider web using Python Turtle
# 4: Draw Goku in Python Turtle
# 5: Draw Mickey Mouse in Python Turtle
# 6: Happy Diwali in Python Turtle
# 7: Draw Halloween in Python Turtle
# 8: Write Happy Halloween in Python Turtle
# 9: Draw Happy Diwali in Python Turtle
# 10: Draw Dell Logo using Python Turtle
# 11: Draw Flag of USA using Python Turtle
# 12: Draw Iron Man Face with Python Turtle: Tony Stark Face
# 13: Draw TikTok Logo with Python Turtle
# 14: Draw Instagram Logo using Python Turtle
# 15: I Love You Text in ASCII Art
# 16: Python Turtle Commands and All Methods
# 17: I Love You Program In Python Turtle
# 18: Draw Python Logo in Python Turtle
This Book Is Perfect For:
* Beginners who want to learn Python
* Students who are taking a Python programming course
* Professionals who want to learn Python for their job
* Anyone who wants to learn how to code
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Python Web Applications with Django: Build powerful and reliable Python web applications with Examples and Projects.
English | September 14, 2024 | ASIN: B0DH3K31JZ | 243 pages | PDF | 5.25 MB
Python is of the most popular and versatile programming languages in the tech industry. However, despite their popularity and versatility, mastering them can be challenging, especially for beginners. Technical challenges such as debugging and tight deadlines can cause stress and anxiety, and career advancement and staying up to date with the latest developments in the field can be daunting.
Here what you'll learn after downloading this book:
✓Build a blog with Django
✓Highlighting code in django templates
✓Build a News app using django
✓Manage Your To-Do Lists Using Python and Django
✓Weather App in Django Get Weather Report City Wise
✓Build a Music Player using Django
✓Tweet Using Django
✓Send Emails in Django
✓Online Library Management System in Python Django
✓Built a Resume Builder with Django and Fauna
And more...
This Book Is Perfect For:
✓- Total beginners with zero programming experience
✓- Returning professionals who haven't written code in years
✓- Seasoned professionals looking for a fast, simple, crash course in Python
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