You will also see how to apply Test-driven Development (TDD) and Behavior-driven Development (BDD) and how to eliminate issues caused by TDD. Automated testing is the best way to increase efficiency while reducing the defects of software testing. Once you have got to grips with the basics, you will explore unsupervised learning and clustering algorithms, followed by understanding how to write better NumPy code while keeping advanced considerations in mind. Data Science Essentials Advanced Algorithms and Visualizations (Video), ISBN 13: 9781789616057 Packt Course Length: 1 hours 50 minutes (July 2018), Become an efficient data science practitioner by understanding Python's key concepts. By the end of this course, you will be able to build complex and large web applications with Vue.js and will also understand how to make single-file-based reusable components which can be used across projects. All the codes of the course are uploaded on the Github repository: https://github.com/PacktPublishing/-Introduction-to-Bayesian-Analysis-in-Python, Deep Learning for Python Developers {Video}, ISBN 13: 9781788993883 Packt Course Length: 2 hours 11 minutes (December 2018), Use your Python skills to build powerful Deep Learning applications. In the next lesson, you dive right into predictive analytics, where multiple classification algorithms are implemented. Youâll understand the implementation of collections, decimals, and fraction modules. Once confirmed by typing âyesâ connection proceeds and prompts for a userâs password. You will also explore neural machine translation and implement a neural machine translator. Let these interviews spark your own creativity, and discover how you also have the ability to make your mark on a thriving tech community. Finally, to top off your journey into the world of functional Python, youâll at look at the PyMonad project and some larger examples to put everything into perspective. After that, itâs time to develop a system using Boltzmann Machines, where youâll recommend whether to watch a movie or not. You'll be building a full-stack app from scratch with a GraphQL API made with Python (Django and Graphene); a React client app with React Hooks and Apollo Boost; state management React Context (with useContext) and Apollo Client State, media file uploads with Cloudinary; and tons more. We then discuss affine and projective transformations and see how we can use them to apply cool advanced manipulations to your photos like resizing them while keeping the content intact or smoothly removing undesired elements. Next, we will walk you through automating administration tasks with Python Fabric, where you will learn to perform server configuration and administration, along with system administration tasks such as user management, database management, and process management. You will then learn to use Python code libraries to read and write geospatial data. You will see how to implement different algorithms to get the best possible results, and will understand how to apply them to real-world scenarios. As you move along, you will understand the architecturally significant demands and how to determine them. With the addition of exciting new features and a wide selection of modern libraries and frameworks, Python has emerged as an ideal language for developing enterprise applications. tags | exploit, remote, code execution, bash Logistic regression: Logistic regression has many cool applications: analyzing consequences of past events, allocating resources, solving binary classification problems using machine learning and so on. Improve the performance predictive models, build more complex models and use techniques to improve quality of your predictive models. Fingerprint Presentation Attack Detector Using Global-Local Model ... 22 November 2021. All techniques s, as well as classical networks topologies. We categorize the programs into general purpose software, single purpose software, research software and software compatible with audio piping. The course will then show you the general flow in developing a Flask application, including some extensions used by developing a simple application. In later chapters, youâll gain insights into QOpenGLWidget, along with mastering techniques for creating 2D graphics with QPainter. Bioinformatics is an active research field that uses a range of simple-to-advanced computations to extract valuable information from biological data. http://homepage.mac.com/s_lott/books/oodesign.html, Problem Solving with Algorithms and Data Structures, 1590280539, Franklin Beedle & Associates, December 2005. This book covers the unexplored secrets of Python, delve into its depths, and uncover its mysteries. Explore the mathematical computations and algorithms for image processing using popular Python tools and frameworks. You are a data scientist. You will learn about writing efficient and readable code using the Python standard library and best practices for software design. It boasts an 8 megapixel Sony IMX219 image sensor that's capable of outputting up to 3280x2464 pixel static images, and 1080p30, 720pp60, and 640x480p video! Text Mining with Machine Learning and Python {Video}, ISBN 13: 9781789137361 Packt Course Length: 2 hours 26 minutes (April 2018), Get high-quality information from your text using Machine Learning with Tensorflow, NLTK, Scikit-Learn, and Python. It can scan 65000 ports on 8.8.8.8 in 8 seconds, it is faster than Nmap with -T "insane". With this book, you will be able to set up a GPU ecosystem for running complex applications and data models that demand great processing capabilities, and be able to efficiently manage memory to compute your application effectively and quickly. We use these technologies every day, with or without our knowledge. As you progress through the chapters, you will also learn how to achieve endpoint protection by leveraging Python packages along with writing forensic scripts. What do self-driving cars, face recognition, web search, industrial robots, missile guidance, and tumor detection have in common? The course covers the major libraries on Python reactive extensions (RxPY) and explains in detail the role of asynchronous programming and event-based programming in building reactive extensions. Youâll also see how to employ Python to read images and for computer vision. By the end of this book, you will have the expertise required to build your own Computer Vision projects using Python and its associated libraries. The book covers how to store and retrieve data from various data sources such as SQL and NoSQL, CSV fies, and HDF5. By the end of this book, you'll be able to fine-tune your models as per your needs to deliver maximum productivity. By the end of this book, you'll have the confidence and skill to leverage the power of RESTful APIs and Python to build efficient web applications. You will also work with the different Quality of Service levels and later analyze and compare their overheads. No AI experience required! It is developed for custom CodeIgniter projects. Synthetic and real data sets are used to introduce several types of models, such as generalized linear models for regression and classification, mixture models, hierarchical models, and Gaussian processes, among others. Some recipes focus on achieving a deeper understanding of basic principles, or comparing and contrasting two similar operations. You understand data dimensionality and set up an environment by beginning with basic plots. ISBN 13: 9781788993357 Packt 248 Pages (June 2018), Enhance the power of NumPy and start boosting your scientific computing capabilities. Data Science Projects with Python is designed to give you practical guidance on industry-standard data analysis and machine learning tools in Python, with the help of realistic data. Troubleshooting Python Application Development is your answer. Power your decision making using next generation libraries. This book will guide you through the very basics of creating a fully functional GUI in Python with only a few lines of code. Finally, you'll gain clear insights into the topology of neural networks and how neuroevolution allows you to develop complex networks, starting with simple ones. With a solid background in place, you will now apply your new-found knowledge to develop your very own GPU-based deep neural network from scratch. The book begins by describing the basic elements of writing clean code and how it plays an important role in Python programming. It delivers the bigger picture of GUI programming by building real-world, productive, and fun applications such as a text editor, drum machine, game of chess, audio player, drawing application, piano tutor, chat application, screen saver, port scanner, and much more. It boasts an 8 megapixel Sony IMX219 image sensor that's capable of outputting up to 3280x2464 pixel static images, and 1080p30, 720pp60, and 640x480p video! 1. Hands-on Network Programming with Python {Video}, ISBN 13: 9781788994583 Packt XXX Pages OR Course Length: 3 hours 3 minutes (July 2018), The complete guide that will help you create and automate your network with Python. You will also learn how to use CNN, RNN, LSTM and other networks to solve real-world problems. This can be done by comparing algorithms against benchmarks, along with machine intelligence, to learn from the information and determine ideal behaviors within a specific context. FREE and Open Source, Mysql is a great database for just about all of your needs. In addition, you'll deal with more advanced use cases, such as building a gaming bot, building an extractive summarization tool for medical documents, and you'll also tackle the problems faced while building an ML model. The three commonly used modalities in the biometrics field, namely, fingerprint, face, and iris are covered in detail in this book. Get to grips with the skills you need for entry-level data science in this hands-on Python and Jupyter course. This book includes unique recipes that will teach you various aspects of performing Natural Language Processing with NLTKâthe leading Python platform for the task. We will then learn how to convert QT Designer-generated code into pure Python code. You will learn how to understand language, plan sentences, and work around various ambiguities. The third case study is a financial portfolio analysis application that engages you with time series analysis - pivotal to many data science applications today. This book begins with a review of the TCP/ IP protocol suite and a refresher of the core elements of the Python language. This course will cover essential concepts such as classifiers and clustering and will also help you get acquainted with neural networks and Deep Learning to address real-world problems. Python For Android Hacking Crash Course: Trojan Perspective (Video), ISBN 13: 9781788626255 Packt Publishing Course Length: 3 hours 16 minutes (September 2017). Googleâs use of algorithms to play and defeat the well-known Atari arcade games has propelled the field to prominence, and researchers are generating new ideas at a rapid pace. Youâll start by working with PyQt GUI elements to style your applications. Full-Stack React, Python, and GraphQL [Video, Learn Python and Ethical Hacking from Scratch [Video, https://github.com/PacktPublishing/Learn-Python-and-Ethical-Hacking-From-Scratch, Python A-Z - Learn Python Programming By Building 5 Projects [Video, https://github.com/PacktPublishing/Python-A-Z---Learn-Python-Programming-By-Building-5-Projects, Troubleshooting Python Deep Learning [Video, OpenCV Computer Vision Examples with Python: A Complete Guide for Dummies [Video, Artificial Intelligence in 3 Hours [Video, Hands-On Artificial Intelligence with Keras and Python [Video, Hands-On Python 3.x GUI Programming [Video, Full-Stack Web Development with Flask [Video, https://github.com/PacktPublishing/-Introduction-to-Bayesian-Analysis-in-Python, https://github.com/PacktPublishing/Python-for-Finance-Investment-Fundamentals-and-Data-Analytics, Learn Computer Vision with Python and OpenCV [Video, Real-World Machine Learning Projects with Scikit-Learn [Video, Publisher's page (for instructors' request of an evaluation copy), Recognize the value of Functional Programming, Understand the advantages and disadvantages of Functional Programming, Higher-order functions and Lambda expressions (nameless functions), Understand common functional design patterns, and how these apply to Python, Review fundamental concepts such as bias and variance, Extract features from categorical variables, text, and images, Predict the values of continuous variables using linear regression and K Nearest Neighbors, Classify documents and images using logistic regression and support vector machines, Create ensembles of estimators using bagging and boosting techniques, Discover hidden structures in data using K-Means clustering, Evaluate the performance of machine learning systems in common tasks, Focus on Python programming paradigms, which are used to develop NLP applications, Understand corpus analysis and different types of data attribute, Learn about Features Extraction and Feature selection as part of Features Engineering, Explore the advantages of vectorization in Deep Learning, Get a better understanding of the architecture of a rule-based system, Optimize and fine-tune Supervised and Unsupervised Machine Learning algorithms for NLP problems, Identify Deep Learning techniques for Natural Language Processing and Natural Language Generation problems, Get to know âthe way of the cloudâ, including why developing good cloud software is fundamentally about mindset and discipline, Know what microservices are and how to design them, Create reactive applications in the cloud with third-party messaging providers, Build massive-scale, user-friendly GUIs with React and Flux, Secure cloud-based web applications: the doâs, donâts, and options, Plan cloud apps that support continuous delivery and deployment, Understand the basics of social media mining, Understand user reactions and emotion detection on Facebook, Perform Twitter sentiment analysis and entity recognition using Python, Extract conversational topics on public internet forums, Perform large-scale social media analytics on the cloud, Explore what microservices are and how to design them, Use Python 3, Flask, Tox, and other tools to build your services using best practices, Discover how to document your microservices, Configure and package your code in the best way, Deploy your services in Docker containers, CoreOS, and Amazon Web Services, Review all the fundamentals of Python and the TCP/IP suite, Use Python to execute commands when the device does not support the API or programmatic interaction with the device, Implement automation techniques by integrating Python with Cisco, Juniper, and Arista eAPI, Integrate Ansible using Python to control Cisco, Juniper, and Arista networks, Build Flask-based web-service APIs with Python, Construct a Python-based migration plan from a legacy to scalable SDN-based network, Learn and understand the installation procedure and environment required for R and Python on various platforms, Prepare data for analysis by implement various data science concepts such as acquisition, cleaning and munging through R and Python, Build a predictive model and an exploratory model, Analyze the results of your model and create reports on the acquired data, Build various tree-based methods and Build random forest, How to subset your data frames using Pandas, How to interface your Python data analysis with R language packages, Become acquainted with Python in the first two chapters, Run CAPM, Fama-French 3-factor, and Fama-French-Carhart 4-factor models, Learn how to price a call, put, and several exotic options, Understand Monte Carlo simulation, how to write a Python program to replicate the Black-Scholes-Merton options model, and how to price a few exotic options, Understand the concept of volatility and how to test the hypothesis that volatility changes over the years, Understand the ARCH and GARCH processes and how to write related Python programs, Understand how data analysts and scientists think about of the processes of gathering and understanding data, Learn how pandas can be used to support the end-to-end process of data analysis, Slicing and dicing data with pandas, as well as combining, grouping, and aggregating data from multiple sources, How to access data from external sources such as files, databases, and web services, Represent and manipulate time-series data and the many of the intricacies involved with this type of data, How to use pandas to solve several common data representation and analysis problems within finance, Arrange the widgets using layout managers, Use object-oriented programming to create GUIs, Perform unit-testing and internationalizing the GUI, Extend the GUI with third-party graphical libraries, Get to know the best practices to create GUIs. Computer engineering or CSE is a field of engineering that is concerned with computer software development and research. We will set up the deep learning environment using PyTorch, and then train and deploy different types of deep learning models, such as CNN, RNN, and autoencoders. We will build a weather application using command-line parsing. As you expand your GUI by adding more widgets, you'll work with networks, databases, and graphical libraries that enhance its functionality. ISBN 13: 9781789537000 Packt 90 Pages (August 2018), Simplified Python programming for Bitcoin and Blockchain. Every day, you stare at reams of data trying to apply the latest and brightest of models to uncover new insights, but there seems to be an endless supply of obstacles. Next, you'll learn to solve common and not-so-common challenges in natural computing using neuroevolution-based algorithms. Beginning Selenium WebDriver Testing in Python, ISBN 13: 9781789138580 Packt Course Length: 1 hour 47 minutes (August 2018), Use Selenium automation, to save you time when testing in Python. We will also focus on web development by using the famous Django framework to create an online game store. ISBN 13: 9781788831079 Course Length: 2 hours 8 minutes (3 Jul 2019), Discover simple practices for writing clean and efficient Python code. As you progress through this book, youâll automate several testing services with Python scripts and perform automation tasks on virtual machines and cloud infrastructure with Python. Where do you start?Using the steps laid out by professional security analysts and consultants to identify and assess risks, Network Security Assessment offers an efficient testing model that an administrator can adopt, refine, and reuse to ... The first application is a Sentiment Analyzer that analyzes data to determine whether a review is positive or negative towards a particular movie. We'll cover concepts such as debugging and exception handling as well as some of the most popular libraries and frameworks that allow you to create event-driven and reactive systems. There are now dozens of software defined radio packages that support the ultra cheap RTL-SDR. By the end of the course, youâll be well-versed with a terrific tool for Python developmentâPyCharmâand be able to do everything expected of a Python developer. Python GUI Programming - A Complete Reference Guide, ISBN 13: 9781838988470 Packt 746 Pages (24 Jun 2019), Explore Pythonâs GUI frameworks and create visually stunning and feature-rich applications. Besides this, you will develop a good understanding and explore ways to solve issues related to the security wheel that treats the network as one single entity instead of dispersing components. Mastering Python Design Patterns - Second Edition, ISBN 13: 9781788837484 Packt 248 Pages (August 2018), Exploit various design patterns to master the art of solving problems using Python. You'll start off by installing PyTorch, then quickly move on to learn various fundamental blocks that power modern deep learning. It covers the most effective machine learning techniques on a map reduce framework in Hadoop and Spark in Python. By the end of this course, youâll know the basic tools of computer vision and be able to put it into practice. This book covers how to use the image processing libraries in Python. First youâll learn to set up your environment, before building five exciting applications. This book is organized according to various finance subjects. Python programming masterclass for beginners â learn all about Python 3 with object-oriented concepts, five projects and more! CircuitPython is a programming language designed to simplify experimenting and learning to program on low-cost microcontroller boards. Last but not the least you will grasp how to manage your datasets by sorting and ranking them. This course is designed with advanced solutions that will take you from newbie to pro in performing Natural Language Processing with NLTK. Next, youâll learn about Convolutional Neural Networks (CNN) through an example of image recognition, where youâll look into images from a machine perspective. This course will make you look beyond the fundamentals with beautiful data visualizations with Seaborn and ggplot, web development with Bottle, and even the new frontiers of deep learning with Theano and TensorFlow. Using Scikit-learn you will create a Machine Learning project from scratch, and, use the Tensor Flow library to build and train professional neural networks. After finishing this course, you will likely find creative ways to apply it to your work. Weâll cover internal special methods in detail, so you understand what they are and how they can be used to improve the engineering decisions you make. In this course, you will learn how to accomplish useful tasks using Convolutional Neural Networks to process spatial data such as images and using Recurrent Neural Networks to process sequential data such as texts. The course starts by walking through different methods to prepare your dataâbe it a dataset with missing values or text columns that require the categories to be turned into indicator variables.
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