help.txt

docker-compose down
docker-compose up -d --build
docker-compose exec web python manage.py makemigrations
docker-compose exec web python manage.py migrate
docker-compose exec web python manage.py collectstatic --noinput
docker-compose exec web python manage.py createsuperuser


username: user01
email: user01@user.com
password: DKLJ*(123)_lskdjf

username: user02
email: user02@user.com
password: 8jkl3KJH*(lkjdf

username: user03
email: user03@user.com
password: kljdf*(987)_lkjdf

username: user04
email: user04@user.com
password: 7yuijkl*(dfg)_lkjdf

username: user05
email: user05@user.com
password: G7!k#2tQz@9F





bulk push

testing sucess

title: {Hands-On Machine Learning with Scikit-Learn Keras and TensorFlow 2nd Edition}, {Head First Python First Edition}, {Python Datascience}, {Automate the Boring Stuff with Python}, {MATHEMATICS FOR machine learning}, {Python Automation Cookbook}, {Fluent Python}, {Deep Learning with Python}, {Effective Python}, {Deep Learning for Dummies}, {Test-Driven Development with Python}, {Python Cookbook}, {Python for Data Analysis}, {Django for APIs Build Web APIs with Python Django}, {Django for Professionals}, {Django for Beginners Build Websites with Django Version 2.1}, {Learning Python}, {Python Crash Course A Hands-On Introduction}, {Python for Finance}, {Data Science from Scratch}, {Python Programming An Introduction to Computer Science}, {Python Distilled}, {Python Testing with pytest}, {Two Scoops of Django}, {Black Hat Python Python Programming for Hackers and Pentesters}, {The Art of PostgreSQL}, {The Road to React}, {Deep Learning and Machine Learning Advancing Big Data}, {Think Python}, {Python for Cybersecurity}}
author: {Aurélien Géron}, {Paul Barry}, {Jake VanderPlas}, {Al Sweigart}, {Marc Peter Deisenroth, A Aldo Faisal, Cheng Soon Ong}, {Jaime Buelta}, {Luciano Ramalho}, {François Chollet}, {Brett Slatkin}, {John Paul Mueller, Luca Massaron}, {Harry J.W. Percival}, {David Beazley, Brian K. Jones}, {Wes McKinney}, {William S. Vincent}, {Daniel Roy Greenfeld, Audrey Roy Greenfeld}, {Daniel Roy Greenfeld, Audrey Roy Greenfeld}, {Mark Lutz}, {Eric Matthes}, {Yves Hilpisch}, {Joel Grus}, {John M. Zelle}, {David Beazley}, {Brian Okken}, {Audrey Roy Greenfeld, Daniel Roy Greenfeld}, {Justin Seitz}, {Dimitri Fontaine}, {Robin Wieruch}, {Unknown}, {Allen B. Downey}, {Howard E. Poston}}
description: {Comprehensive guide to practical ML using Python, Scikit-Learn, Keras, TensorFlow}, {Beginner-friendly intro to Python with engaging visuals}, {Guide to Python tools for data science, including NumPy, pandas, Matplotlib}, {Hands-on projects to automate everyday tasks with Python}, {Mathematical foundations for ML including calculus, linear algebra, probability}, {Recipes and automation techniques for Python developers}, {In-depth guide to writing Pythonic, maintainable code}, {Introduction to deep learning concepts and practical implementations}, {59 effective Python tips and best practices}, {Accessible introduction to deep learning for beginners}, {Guide to implementing TDD in Python projects}, {Collection of Python recipes for everyday programming tasks}, {Data analysis using pandas, NumPy, Jupyter}, {Step-by-step guide to build RESTful APIs with Django}, {Advanced Django concepts for professional development}, {Practical beginner’s guide to Django web development}, {Comprehensive Python programming reference}, {Hands-on Python projects and exercises}, {Python tools for finance and quantitative analysis}, {Practical introduction to data science from first principles}, {Introductory computer science concepts with Python}, {Modern Python features and techniques}, {Testing Python applications with pytest}, {Best practices for structuring Django projects}, {Python hacking and penetration testing techniques}, {Advanced PostgreSQL concepts and best practices}, {React.js guide for front-end integration}, {Advanced ML and big data techniques}, {Introductory Python programming concepts}, {Python cybersecurity fundamentals}}
price: {5400}, {2400}, {3600}, {2400}, {4800}, {3600}, {4800}, {4800}, {3600}, {2400}, {3600}, {3600}, {3600}, {3600}, {4800}, {2400}, {3600}, {2400}, {3600}, {3600}, {2400}, {3600}, {2400}, {3600}, {3600}, {3600}, {2400}, {4800}, {2400}, {3600}}
tags: {Hands-On, Python Programming, Machine Learning, Scikit-Learn, Keras, TensorFlow, AI, Advanced Python, Data Scientists}, {Beginner Python, Python Crash Course, Practical Coding, Self-Learners}, {Python Data Science, pandas, NumPy, Matplotlib, Data Analysis, Data Scientists}, {Python Automation, Project-Based Learning, Practical Coding, Beginner Python}, {Mathematics for Machine Learning, Calculus, Linear Algebra, Data Science, AI}, {Python Projects, Automation, Practical Coding, Intermediate Python}, {Modern Python, Advanced Python, Pythonic Code, Best Practices}, {Python Deep Learning, AI, Machine Learning, TensorFlow, Keras}, {Pythonic Code, Best Practices, Advanced Python, Clean Code}, {Beginner Python, Deep Learning, AI Enthusiasts}, {Test-Driven Development, Python Projects, TDD, Pytest, Practical Coding}, {Python Cookbook, Python Programming, Recipes, Best Practices}, {Python Data Analysis, pandas, NumPy, Jupyter, Data Analysis}, {Django REST Framework, APIs, Web Development, Django, Python Web Development}, {Django, Professional Developers, Web Development, Python Web Development}, {Django, Beginner Python, Project-Based Learning, Web Development}, {Python Programming, Programming Fundamentals, Computer Science, Beginner Python}, {Python Crash Course, Hands-On, Project-Based Learning}, {Python Finance, Quantitative Analysis, Finance, Data Analysis}, {Data Science, Python Data Science, Practical Coding, Self-Learners}, {Python Programming, Programming Fundamentals, Computer Science, Beginner Python}, {Modern Python, Pythonic Code, Advanced Python, Best Practices}, {Python Testing, Pytest, Testing & QA, TDD, Practical Coding}, {Django, Best Practices, Project-Based, Python Web Development}, {Hacking, Ethical Hacking, Security, Hackers & Pentesters, Python Cybersecurity}, {PostgreSQL, Database, Professional Developers, Advanced Programming}, {React, Web Development, Frontend, Python Web Development}, {Machine Learning, Deep Learning, Big Data Analytics, AI, Data Scientists}, {Python Programming, Beginner Python, Programming Fundamentals}, {Python Cybersecurity, Security, Ethical Hacking, Python Security}










title: {Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow (2nd Edition)}, {Head First Python (1st Edition, 2010)}, {Python Data Science Handbook}, {Automate the Boring Stuff with Python}, {Mathematics for Machine Learning}, {Python Automation Cookbook}, {Fluent Python (2nd Edition)}, {Deep Learning with Python}, {Effective Python}, {Deep Learning For Dummies}, {Test-Driven Development with Python}, {Python Cookbook (3rd Edition)}, {Python for Data Analysis (2nd Edition, 2022)}, {Django for APIs: Build Web APIs with Python & Django}, {Django for Professionals}, {Django for Beginners (Version 2.1)}, {Learning Python (5th Edition)}, {Python Crash Course (2nd Edition)}, {Python for Finance}, {Data Science from Scratch (2nd Edition)}, {Python Programming: An Introduction to Computer Science}, {Python Distilled}, {Python Testing with Pytest}, {Two Scoops of Django (3.x Edition)}, {Black Hat Python: Python Programming for Hackers and Pentesters}, {The Art of PostgreSQL}, {The Road to React}, {Deep Learning and Machine Learning: Advancing Big Data Analytics}, {Think Python (2nd Edition)}, {Python for Cybersecurity}

author: {Aurélien Géron}, {Paul Barry}, {Jake VanderPlas}, {Al Sweigart}, {Marc Peter Deisenroth, A. Faisal, C. Ong}, {Jaime Buelta}, {Luciano Ramalho}, {François Chollet}, {Brett Slatkin}, {John Paul Mueller & Luca Massaron}, {Harry Percival}, {David Beazley & Brian K. Jones}, {Wes McKinney}, {William S. Vincent}, {William S. Vincent}, {William S. Vincent}, {Mark Lutz}, {Eric Matthes}, {Yves Hilpisch}, {Joel Grus}, {John M. Zelle}, {David Beazley}, {Brian Okken}, {Daniel Roy Greenfeld & Audrey Roy Greenfeld}, {Justin Seitz}, {Dimitri Fontaine}, {Robin Wieruch}, {Unknown/Compiled Work}, {Allen B. Downey}, {Howard E. Poston III}

description: {A comprehensive guide to building intelligent systems using popular Python machine learning frameworks. Covers techniques from linear regression to deep neural networks, with practical examples using Scikit-Learn, Keras and TensorFlow. Essential for data scientists and ML engineers looking to implement practical machine learning solutions.}, {A brain-friendly guide to Python programming that uses visual formats and engaging style to teach Python fundamentals. Covers built-in data structures, functions, exception handling, and web development concepts. Perfect for beginners who want to learn Python programming through interactive examples and projects.}, {Complete guide to using Python for data science and scientific computing. Covers essential tools including IPython, NumPy, Pandas, Matplotlib, and Scikit-Learn. Provides practical techniques for working with data in Python, from basic manipulation to machine learning applications.}, {Practical programming guide that teaches Python through real-world automation projects. Covers working with files, spreadsheets, PDFs, web scraping, email automation, and GUI manipulation. Perfect for beginners and professionals looking to automate repetitive computer tasks and increase productivity.}, {Bridges the mathematical foundations with practical machine learning applications. Covers essential mathematical concepts including linear algebra, calculus, probability, and optimization needed for understanding machine learning algorithms. Includes Python code examples and practical exercises.}, {Collection of practical recipes for automating various tasks using Python. Covers system administration, web scraping, file processing, and GUI automation. Provides ready-to-use code examples for solving common automation challenges in different domains.}, {Advanced guide to writing effective, idiomatic Python code. Covers data structures, functions, classes, metaprogramming, and concurrency. Helps intermediate Python programmers write more Pythonic and efficient code by leveraging Python's unique features and best practices.}, {Comprehensive introduction to deep learning using Python and Keras library. Covers fundamental concepts of neural networks, computer vision, natural language processing, and generative models. Written by the creator of Keras, providing best practices for building and deploying deep learning applications.}, {Practical guide to writing better Python code with 90 specific guidelines and best practices. Covers Pythonic thinking, functions, classes, metaprogramming, and collaboration. Helps developers transition from other languages and write more maintainable, efficient Python code.}, {Accessible introduction to deep learning concepts and applications for beginners. Covers neural networks, AI frameworks, and practical implementation techniques. Makes complex deep learning concepts understandable for readers without advanced mathematical background.}, {Practical guide to building web applications using test-driven development with Python and Django. Covers Selenium testing, unit testing, mocking, and continuous integration. Uses a real-world example to demonstrate how TDD leads to more reliable and maintainable code.}, {Comprehensive collection of Python recipes for mastering professional programming techniques. Covers data structures, algorithms, metaprogramming, and system administration tasks. Provides advanced solutions to common programming challenges faced by experienced Python developers.}, {Essential guide to data manipulation and analysis with Python's pandas library. Covers data wrangling, cleaning, visualization, and time series analysis using pandas, NumPy, and Jupyter. Written by the creator of pandas, this book is fundamental for anyone working with data in Python.}, {Guide to building web APIs with Django and Django REST Framework. Covers REST API design, authentication, permissions, viewsets, and deployment. Provides practical examples for creating production-ready APIs using Django's powerful built-in tools and best practices.}, {Advanced guide to building production-ready Django applications with professional practices. Covers deployment, security, performance optimization, and advanced features. Helps developers transition from basic Django knowledge to building robust, scalable web applications.}, {Step-by-step introduction to building Django web applications for complete beginners. Covers fundamentals like URL routing, views, templates, and databases. Uses practical projects to teach web development concepts in an accessible, project-based approach.}, {Comprehensive guide to Python programming language covering both fundamentals and advanced topics. Explores built-in object types, functions, modules, classes, and exceptions. Serves as both tutorial and reference for programmers new to Python.}, {Hands-on introduction to Python programming through practical projects and exercises. Covers basics like variables, lists, classes, and works up to data visualization and web applications. Perfect for beginners who want to learn by doing and building real projects.}, {Comprehensive guide to applying Python programming in quantitative finance and financial analysis. Covers financial data analysis, algorithmic trading, risk management, and derivatives pricing. Essential for finance professionals and quantitative analysts looking to leverage Python.}, {Introduction to data science fundamentals using Python without relying on advanced libraries. Covers statistics, probability, machine learning, and data visualization from first principles. Perfect for understanding the underlying concepts before using specialized data science tools.}, {Introduction to computer science using Python as the primary programming language. Covers algorithmic thinking, problem-solving, and fundamental computer science concepts. Designed for beginners with no prior programming experience.}, {Concise reference to essential Python programming features and idioms. Focuses on the most frequently used parts of the language and standard library. Provides expert guidance on writing effective and efficient Python code.}, {Comprehensive guide to testing Python applications using the pytest framework. Covers test organization, fixtures, parameterization, and best practices for effective testing. Helps developers write clean, maintainable tests with minimal boilerplate code.}, {Best practices guide for Django web framework with practical advice and proven techniques. Covers project structure, settings, models, views, and deployment considerations. Provides field-tested recommendations for building maintainable Django applications.}, {Guide to Python programming for cybersecurity, penetration testing, and ethical hacking. Covers network sniffing, attack automation, and security tool development. Provides practical techniques for security professionals and ethical hackers.}, {Comprehensive guide to mastering PostgreSQL database system and advanced SQL techniques. Covers query optimization, application integration, and advanced database features. Essential for developers working with PostgreSQL in Python applications.}, {Practical guide to learning React library for building modern user interfaces. Covers components, state management, hooks, and best practices for React development. Perfect for Python developers expanding into frontend development.}, {Exploration of deep learning and machine learning techniques for big data analytics applications. Covers advanced algorithms, data processing, and analytical methods for large-scale data. Focuses on practical applications in big data environments.}, {Introduction to Python programming with emphasis on computational thinking and problem-solving. Covers basic programming concepts, data structures, and algorithmic thinking. Uses a clear, concise approach to teaching programming fundamentals.}, {Practical guide to using Python for cybersecurity tasks and security automation. Covers threat detection, security analysis, and defensive programming techniques. Provides security professionals with Python skills for enhancing cybersecurity operations.}

price: {7200}, {4800}, {6000}, {3600}, {6600}, {4200}, {5400}, {6000}, {5000}, {4800}, {4800}, {5000}, {5400}, {4200}, {4200}, {4200}, {6600}, {4800}, {6000}, {5400}, {3600}, {5000}, {4200}, {4800}, {4200}, {5000}, {4200}, {5400}, {3600}, {4800}

tags: {Machine Learning, Artificial Intelligence, Scikit-Learn, TensorFlow, Keras, Data Science, Python Programming, Hands-On, Data Scientists}", "{Beginner Python, Python Programming, Programming Fundamentals, Computer Science, Self-Learners, Project-Based Learning}", "{Data Science, Python Data Science, Data Analysis, pandas, NumPy, Matplotlib, Jupyter, Data Scientists, Python Programming}", "{Python Automation, Beginner Python, Practical Coding, Automation, Programming Fundamentals, Self-Learners}", "{Mathematics for Machine Learning, Mathematics, Linear Algebra, Calculus, Machine Learning, Data Science, Applied Mathematics, AI}", "{Python Automation, Automation, Recipes, Practical Coding, Python Programming, Python Cookbook}", "{Modern Python, Advanced Python, Pythonic Code, Best Practices, Clean Code, Professional Developers, Python Programming}", "{Deep Learning, Python Deep Learning, AI, Machine Learning, TensorFlow, Keras, Artificial Intelligence, Data Scientists}", "{Advanced Python, Best Practices, Clean Code, Python Programming, Professional Developers, Pythonic Code}", "{Deep Learning, AI, Machine Learning, Beginner Python, AI Enthusiasts, Self-Learners}", "{Test-Driven Development, TDD, Python Programming, Django, Software Testing, Testing & QA, Practical Coding}", "{Python Cookbook, Recipes, Advanced Python, Professional Developers, Python Programming, Best Practices}", "{Python Data Analysis, Data Analysis, pandas, NumPy, Jupyter, Data Science, Data Scientists}", "{Django, Django REST Framework, APIs, Python Web Development, Web Development, Backend Development}", "{Django, Professional Developers, Web Development, Python Web Development, Software Development}", "{Django, Beginner Python, Web Development, Project-Based Learning, Python Web Development}", "{Python Programming, Programming Fundamentals, Computer Science, Beginner Python, Self-Learners}", "{Python Crash Course, Beginner Python, Project-Based Learning, Hands-On, Programming Fundamentals}", "{Python Finance, Finance, Quantitative Analysis, Data Analysis, Python Programming}", "{Data Science, Python Data Science, Statistics, Mathematics, Machine Learning, Data Scientists}", "{Python Programming, Programming Fundamentals, Computer Science, Beginner Python, Problem Solving}", "{Python Programming, Modern Python, Professional Developers, Best Practices, Pythonic Code}", "{Python Testing, Pytest, Testing & QA, Software Testing, TDD, Practical Coding}", "{Django, Best Practices, Web Development, Python Web Development, Professional Developers}", "{Python Cybersecurity, Cybersecurity, Ethical Hacking, Hacking, Security, Hackers & Pentesters}", "{PostgreSQL, Database, Professional Developers, Advanced Programming, Backend Development}", "{React, Frontend, Web Development, JavaScript, React Development}", "{Deep Learning, Machine Learning, Big Data Analytics, AI, Data Science, Data Scientists}", "{Think Python, Programming Fundamentals, Computer Science, Beginner Python, Problem Solving}", "{Python Cybersecurity, Cybersecurity, Security, Python Security, Ethical Hacking, Automation}








pscycological book


title: {The Art of Seduction}, {The Power of Habit}, {Predictably Irrational}, {Grit}, {Influence: The Psychology of Persuasion}, {Why We Sleep}, {Mindset: The New Psychology of Success}, {Social Intelligence}, {Behave}, {The Paradox of Choice}, {The Undoing Project}, {Stumbling on Happiness}, {Quiet: The Power of Introverts in a World That Can't Stop Talking}, {Emotional Intelligence}, {The Man Who Mistook His Wife for a Hat and Other Clinical Tales}, {Thinking, Fast and Slow}, {The Mindful Self-Compassion Workbook}, {Man's Search for Meaning}",
  
author: {Robert Greene}, {Charles Duhigg}, {Dan Ariely}, {Angela Duckworth}, {Robert B. Cialdini}, {Matthew Walker}, {Carol S. Dweck}, {Daniel Goleman}, {Robert Sapolsky}, {Barry Schwartz}, {Michael Lewis}, {Daniel Gilbert}, {Susan Cain}, {Daniel Goleman}, {Oliver Sacks}, {Daniel Kahneman}, {Kristin Neff & Christopher Germer}, {Viktor E. Frankl}",

description: {A masterful exploration of seduction as a powerful psychological tool. Greene delves into historical figures and timeless strategies, offering insights into the dynamics of attraction and influence.}, {Duhigg examines the science of habit formation and change, illustrating how habits shape our lives and how we can transform them to achieve personal and professional success.}, {Ariely reveals the hidden forces that shape our decisions, demonstrating how we often act irrationally in predictable ways. Through engaging experiments, he uncovers the biases influencing our choices.}, {Duckworth explores the power of passion and perseverance in achieving long-term goals, emphasizing that talent is less important than grit in determining success.}, {Cialdini identifies six principles of persuasion—reciprocity, commitment, social proof, authority, liking, and scarcity—and explains how they can be used to influence others.}, {Walker delves into the science of sleep, explaining its crucial role in health, memory, and longevity. He discusses the consequences of sleep deprivation and offers tips for improving sleep quality.}, {Dweck introduces the concept of fixed vs. growth mindsets, showing how our beliefs about our abilities can impact our success and how adopting a growth mindset fosters resilience and achievement.}, {Goleman explores the science of social interactions, highlighting how our relationships and social environments influence our emotions, health, and well-being.}, {Sapolsky examines human behavior from a biological perspective, exploring how genetics, environment, and evolution shape our actions, both at our best and worst.}, {Schwartz argues that an abundance of choices can lead to anxiety and dissatisfaction, suggesting that limiting options can lead to better decision-making and greater happiness.}, {Lewis chronicles the collaboration between psychologists Daniel Kahneman and Amos Tversky, whose groundbreaking work on human judgment and decision-making changed our understanding of the mind.}, {Gilbert explores how our imagination and cognitive biases often lead us astray in predicting what will make us happy, offering insights into the nature of happiness and human perception.}, {Cain examines the undervalued strengths of introverts, advocating for a society that appreciates their contributions and allows them to thrive in environments often dominated by extroverted ideals.}, {Goleman introduces the concept of emotional intelligence, arguing that it is as important as IQ in determining success in life, and offers strategies for developing emotional awareness and regulation.}, {Sacks presents a collection of case studies from his neurology practice, offering profound insights into the human mind and the complexities of neurological disorders.}, {Kahneman explores the dual systems of thought—fast, intuitive thinking and slow, deliberate reasoning—and how they shape our judgments and decisions.}, {Neff and Germer provide a practical guide to developing self-compassion through mindfulness exercises and reflective practices, aimed at reducing stress and enhancing emotional resilience.}, {Frankl reflects on his experiences as a Holocaust survivor and psychiatrist, discussing how finding meaning in life is essential for psychological survival and fulfillment.}",
  
price: {4800}, {4800}, {4800}, {4800}, {4800}, {5400}, {4800}, {5400}, {6000}, {5400}, {5400}, {5400}, {4800}, {5400}, {5400}, {5400}, {3600}, {3600}",
  
tags: {Self-Help, Personal Growth, Communication Skills, Psychology}, {Self-Help, Psychology, Personal Growth, Behavioral Economics}, {Behavioral Economics, Psychology, Decision Making}, {Self-Help, Personal Growth, Psychology, Motivation}, {Psychology, Communication Skills, Behavioral Economics}, {Psychology, Neuroscience, Health, Human Psychology}, {Self-Help, Psychology, Personal Growth, Education}, {Psychology, Communication Skills, Personal Growth, Emotional Intelligence}, {Psychology, Neuroscience, Human Behavior, Science}, {Psychology, Decision Making, Economics, Behavioral Economics}, {Psychology, Decision Making, Behavioral Economics, Human Behavior}, {Psychology, Happiness, Personal Growth, Self-Help}, {Psychology, Communication Skills, Personal Growth, Human Psychology}, {Psychology, Emotional Intelligence, Personal Growth, Self-Help}, {Psychology, Neuroscience, Medical Science, Human Behavior}, {Psychology, Decision Making, Behavioral Economics, Cognitive Science}, {Self-Help, Personal Growth, Psychology, Mindfulness}, {Philosophy, Psychology, Personal Growth, Motivation}"