Python Hacks With Ai Assisted
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PYTHON HACKS With AI-Assisted
Imagine purchasing a book and, as a bonus, receiving access to a 24/7 AI-assisted Virtual Tutoring to personalize your learning journey and knowledge retention... ... Welcome to the Revolution of Personalized Learning with AI-Assisted Virtual Tutoring! Discover "Python Hacks: Supreme Automation - 2024 Edition," the essential guide for professionals and enthusiasts who want to master automation and cybersecurity with Python. This innovative manual, written by Diego Rodrigues, a renowned author with over 180 titles published in six languages, combines high-quality content with the advanced technology of IAGO, a virtual tutor developed and hosted on the OpenAI platform. Innovative Features: - Personalized Learning: IAGO adapts the content according to your knowledge level, offering detailed explanations and personalized exercises. - Immediate Feedback: Receive real-time corrections and suggestions, accelerating your learning process. - Interactivity and Engagement: Interact with the tutor via text or voice, making the study more dynamic and motivating. - Total Flexibility: Access the tutor anywhere and anytime, whether through desktop, notebook, or smartphone with web access. Take Advantage of the Limited Time Launch Promotional Price! Don't miss the opportunity to transform your learning journey with an innovative and effective method. This book has been carefully structured to meet your needs and exceed your expectations, ensuring that you are prepared to face challenges and seize opportunities in the field of automation and cybersecurity. Open the book sample and discover how IAGO can transform your study practices, bringing innovation, efficiency, and a strategic vision to your preparation. Take advantage of this unique opportunity and achieve your goals! TAGS Python hacking automation cybersecurity Scapy Requests BeautifulSoup Nmap Metasploit ethical hacking penetration testing forensic analysis vulnerabilities network security encryption cyber attacks data protection network monitoring security audit advanced techniques cyber defense information security system security intrusion protection Diego Rodrigues CyberExtreme malware virus phishing DDoS attacks artificial intelligence machine learning blockchain DevOps DevSecOps SCADA security Industry 4.0 connected health smart cities vulnerability analysis web application security SQL Injection XSS CSRF patch management software update password policy multi-factor authentication MFA encryption AES RSA ECC cloud security AWS Azure Google Cloud IBM Cloud Palo Alto Networks Cisco Systems Check Point Symantec McAfee Splunk CrowdStrike Fortinet Tenable Nessus OpenVAS Wi-Fi LTE 5G endpoint API osint encryption at rest risk-based security risk management log analysis continuous monitoring threat response behavior analysis security tools best practices innovation digital transformation big data hack Python Java Linux Kali Linux HTML ASP.NET Ada Assembly Language BASIC Borland Delphi C C# C++ CSS Cobol Compilers DHTML Fortran General HTML Java JavaScript LISP PHP Pascal Perl Prolog RPG Ruby SQL Swift UML Elixir Haskell VBScript Visual Basic XHTML XML XSL Django Flask Ruby on Rails Angular React Vue.js Node.js Laravel Spring Hibernate .NET Core Express.js TensorFlow PyTorch Jupyter Notebook Keras Bootstrap Foundation jQuery SASS LESS Scala Groovy MATLAB R Objective-C Rust Go Kotlin TypeScript Elixir Dart SwiftUI Xamarin React Native NumPy Pandas SciPy Matplotlib Seaborn D3.js OpenCV NLTK PySpark BeautifulSoup Scikit-learn XGBoost CatBoost LightGBM FastAPI Celery Tornado Redis RabbitMQ Kubernetes Docker Jenkins Terraform Ansible Vagrant GitHub GitLab CircleCI Travis CI Linear Regression Logistic Regression Decision Trees Random Forests FastAPI AI ML K-Means Clustering Support Vector Tornado Machines Gradient Boosting Neural Networks LSTMs CNNs GANs ANDROID IOS MACOS WINDOWS Nmap Metasploit Framework Wireshark Aircrack-ng John the Ripper Burp Suite SQLmap Maltego Autopsy Volatility IDA Pro OllyDbg YARA Snort ClamAV iOS Netcat Tcpdump Foremost Cuckoo Sandbox Fierce HTTrack Kismet Hydra Nikto OpenVAS Nessus ZAP Radare2 Binwalk GDB OWASP Amass Dnsenum Dirbuster Wpscan Responder Setoolkit Searchsploit Recon-ng BeEF aws google cloud ibm azure databricks nvidia meta x Power BI IoT CI/CD Hadoop Spark Pandas NumPy Dask SQLAlchemy web scraping mysql big data science openai chatgpt Handler RunOnUiThread()Qiskit Q# Cassandra Bigtable VIRUS MALWARE docker kubernetes
Learn AI-assisted Python Programming
Writing computer programs in Python just got a lot easier! Use AI-assisted coding tools like GitHub Copilot and ChatGPT to turn your ideas into applications faster than ever. AI has changed the way we write computer programs. With tools like Copilot and ChatGPT, you can describe what you want in plain English, and watch your AI assistant generate the code right before your eyes. It’s perfect for beginners, or anyone who’s struggled with the steep learning curve of traditional programming. In Learn AI-Assisted Python Programming: With GitHub Copilot and ChatGPT you’ll learn how to: Write fun and useful Python applications—no programming experience required! Use the Copilot AI coding assistant to create Python programs Write prompts that tell Copilot exactly what to do Read Python code and understand what it does Test your programs to make sure they work the way you want them to Fix code with prompt engineering or human tweaks Apply Python creatively to help out on the job Learn AI-Assisted Python Programming: With GitHub Copilot and ChatGPT is a hands-on beginner’s guide that is written by two esteemed computer science university professors. It teaches you everything you need to start programming Python in an AI-first world. You’ll hit the ground running, writing prompts that tell your AI-assistant exactly what you want your programs to do. Along the way, you’ll pick up the essentials of Python programming and practice the higher-level thinking you’ll need to create working apps for data analysis, automating tedious tasks, and even video games. Foreword by Beth Simon, Ph.D. About the technology The way people write computer programs has changed forever. Using GitHub Copilot, you describe in plain English what you want your program to do, and the AI generates it instantly. About the book This book shows you how to create and improve Python programs using AI—even if you’ve never written a line of computer code before. Spend less time on the slow, low-level programming details and instead learn how an AI assistant can bring your ideas to life immediately. As you go, you’ll even learn enough of the Python language to understand and improve what your AI assistant creates. What's inside Prompts for working code Tweak code manually and with AI help AI-test your programs Let AI handle tedious details About the reader If you can move files around on your computer and install new programs, you can learn to write useful software! About the author Dr. Leo Porter is a Teaching Professor at UC San Diego. Dr. Daniel Zingaro is an Associate Teaching Professor at the University of Toronto. The technical editor on this book was Peter Morgan. Table of Contents 1 Introducing AI-assisted programming with Copilot 2 Getting started with Copilot 3 Designing functions 4 Reading Python code – Part 1 5 Reading Python Code – Part 2 6 Testing and prompt engineering 7 Problem decomposition 8 Debugging and better understanding your code 9 Automating tedious tasks 10 Making some games 11 Future directions
Learn AI-Assisted Python Programming, Second Edition
See how an AI assistant can bring your ideas to life immediately!