Leanpub Header

Skip to main content

Filters

Category: "Computer Programming/Artificial Intelligence/Python"

Books

  1. Imbalanced Data
    Myths, Mistakes and Modern Solutions
    Soledad Galli, PhD

    Class imbalance isn’t a problem. Poor methodology is. This book challenges outdated practices and provides rigorous, data-driven alternatives. We focus on selecting the right tools, threshold tuning, real costs (not class frequencies), and strategic evaluation metrics, to build models that work.

  2. ENTERPRISE AI ARCHITECTURE AND THE MODERN AI STACK
    VOLUME II — RUNNING THE STACK
    Padmanabham Venkiteela

    Designing AI is only half the journey. Learn how to deploy, secure, govern, monitor, and scale Enterprise AI systems for production with practical architectures and proven operational strategies.

  3. AI for Network Engineers
    A Practical Playbook for Automation, Troubleshooting, and Smarter Operations
    Jozef Baros

    Practical, safe AI for people who actually run networks.

  4. Python for Network Engineers
    From Zero to Automated Networks
    Jozef Baros

    Learn Python as a network engineer, not as a computer science student. 632 pages, every example built on real device output. Cisco-first, with Juniper and Fortinet.

  5. Python AI Programming, Second Edition
    Kickstart developing AI-ready apps with RAG, DSPy, MCP, agents, evals, observability and open-source models
    GitforGits | Asian Publishing House

    Vectors, embeddings, retrieval, agents, and evaluation are all built from first principles inside the chapter that needs them. No mathematics. No machine learning background. No prior AI experience and no framework knowledge is required. We build with plain Python and small, single-purpose libraries.  

  6. The Python AI ecosystem has hundreds of excellent libraries that nobody writes about because LangChain dominates the conversation. This book covers 38 of them. Each chapter is a practical guide: what the library does, why it exists, how to install it, and working Python code you can run today. No fluff, no theory — just tools and code.

  7. Python project pro VOL-8
    50 industry-ready projects for aspiring software professionals
    Anshuman Mishra

    Build applications including a Password Strength Checker, SQL Injection Simulation & Prevention Lab, Secure Login System using Password Hashing, Steganography Image Encoder/Decoder, and an educational Keyboard Activity Monitoring demonstrationMaster technologies including Python, Hashlib, SQLite, Cryptography, OpenCV, Pillow, and secure database programming.

  8. Python project pro VOL-7
    50 industry-ready projects for aspiring software professionals
    Anshuman Mishra

    Build real-world software including a Library Management System, Student Record System, Online Quiz Platform with Leaderboard, Inventory Management System, Hospital Management System, and Contact Book with Advanced SearchLearn professional concepts such as database design, SQL queries, CRUD operations, NoSQL development, authentication, reporting, search optimization, and secure data management

  9. Python project pro VOL-6
    50 industry-ready projects for aspiring software professionals
    Anshuman Mishra

    Learn how to containerize applications with Docker, automate deployments using GitHub Actions, deploy Python applications to the cloud, integrate AWS S3, monitor applications with the ELK Stack, and build Slack bots for deployment notifications.Master industry-standard tools including Docker, GitHub Actions, AWS, Heroku, Elasticsearch, Logstash, Kibana, Slack APIs, Flask, and Python

  10. Python project pro VOL-5
    50 industry-ready projects for aspiring software professionals
    Anshuman Mishra

    Create real-world applications including a To-Do List Manager, BMI Calculator, Expense Manager, Quiz System, File Encryption Tool, Socket-Based Chat Application, Text Editor, and Password-Protected Personal Diary event-driven programming, GUI design, file management, encryption, socket programming, SQLite integration, authentication, and application security through practical, step-by-step project

  11. Python project pro VOL-4
    50 industry-ready projects for aspiring software professionals
    Anshuman Mishra

    Create applications such as a PDF Merger Tool, Bulk Email Sender, Folder Organizer, WhatsApp Message Scheduler, Expense Tracker, News Headline Web Scraper, YouTube Video Downloader, and educational automation demonstrations while learning modern Python scripting techniques.Discover how to use powerful Python libraries including PyPDF2, Pandas, BeautifulSoup, Requests, pywhatkit, CSV,

  12. Python project pro VOL-3
    50 industry-ready projects for aspiring software professionals
    Anshuman Mishra

    Build intelligent systems including Iris Flower Classification, Handwritten Digit Recognition, Spam Email Detection, Face Recognition Attendance Systems, House Price Prediction, Loan Eligibility Prediction, Customer Segmentation using K-Means, and Object Detection with YOLO.Master powerful tools such as Scikit-learn, TensorFlow, Keras, OpenCV, YOLO, NumPy, Pandas, and Matplotlib

  13. Python project pro VOL-2
    50 industry-ready projects for aspiring software professionals
    Anshuman Mishra

    Build complete, real-world projects including COVID-19 Data Analysis, Sales Forecasting, Movie Recommendation Systems, Customer Churn Prediction, Stock Price Prediction using LSTM, Twitter Sentiment Analysis, Credit Card Fraud Detection, and Interactive Dashboards with Streamlit.Learn industry-standard tools such as Pandas, NumPy, Scikit-learn, TensorFlow, Keras, Plotly, and Streamlit

  14. Python project pro VOL-1
    50 industry-ready projects for aspiring software professionals
    Anshuman Mishra

    Build portfolio-worthy web applications using Flask, Django, REST APIs, databases, Git, GitHub, authentication systems, third-party APIs, and professional development workflows.From your very first project to complete web applications like an E-commerce System, Job Portal, Resume Builder, Weather App, Blog CMS, and File Sharing Platform, every chapter

  15. AI for Financial Risk, Compliance and Regulatory Reporting
    Production Systems and Architecture for Modern Banking
    Sreedhara Reddy Kotha

    A £4.1M PRA compliance failure. A fictional bank called Avon & Wessex. Sixteen chapters and 23 systems showing exactly how to build production-grade, auditable AI for credit, market, operational and liquidity risk, model governance, and regulatory reporting — the practitioner's guide UK banking has been missing.