How To Code in Python 3
Extremely versatile and popular among developers, Python is a good general-purpose language that can be used in a variety of applications. For those with an understanding of English, Python is a very humanreadable programming language, allowing for quick comprehension. Learning the key concepts of Python can help you understand how programs work while also imparting foundational logic that can serve you in other domains. Understanding what Python and computer programming can offer you both as a user and as a developer is important as technology is further integrated into daily life. ...
Extremely versatile and popular among developers, Python is a good general-purpose language that can be used in a variety of applications. For those with an understanding of English, Python is a very humanreadable programming language, allowing for quick comprehension. Learning the key concepts of Python can help you understand how programs work while also imparting foundational logic that can serve you in other domains. Understanding what Python and computer programming can offer you both as a user and as a developer is important as technology is further integrated into daily life. ...
Build Websites with Hugo
Database-driven sites bring complexity you might not need, but building a site by hand is too much work. Hugo is a static site generator and web development framework that creates content sites quickly without the overhead or dependencies of a dyanmic web framework. With Hugo, you use HTML templates and Markdown to build static sites you can host anywhere, letting you use the skills you already have. Develop your own theme using standard HTML and CSS, using Hugo's powerful templating features to organize your site's components. Create your site's content with HTML or Markdown and use Hugo's content templating features to build new content quickly. Build a fully-featured blog with archive pages, tagging, and pagination, and integrate an external commenting system to provide interactivity. Use data from front-matter, site-wide configuration, and external JSON sources to add content, and generate JSON others can use. Integrate JavaScript with your site to create a search engine. Get Hu ...
Database-driven sites bring complexity you might not need, but building a site by hand is too much work. Hugo is a static site generator and web development framework that creates content sites quickly without the overhead or dependencies of a dyanmic web framework. With Hugo, you use HTML templates and Markdown to build static sites you can host anywhere, letting you use the skills you already have. Develop your own theme using standard HTML and CSS, using Hugo's powerful templating features to organize your site's components. Create your site's content with HTML or Markdown and use Hugo's content templating features to build new content quickly. Build a fully-featured blog with archive pages, tagging, and pagination, and integrate an external commenting system to provide interactivity. Use data from front-matter, site-wide configuration, and external JSON sources to add content, and generate JSON others can use. Integrate JavaScript with your site to create a search engine. Get Hu ...
Modeling and Simulation in Python
Modeling and Simulation in Python is an introduction to physical modeling using a computational approach. It is organized in three parts: The first part presents discrete models, including a bikeshare system and world population growth; The second part introduces first-order systems, including models of infectious disease, thermal systems, and pharmacokinetics; The third part is about second-order systems, including mechanical systems like projectiles, celestial mechanics, and rotating rigid bodies. Taking a computational approach makes it possible to work with more realistic models than what you typically see in a first-year physics class, with the option to include features like friction and drag. Python is an ideal programming language for this material. It is a good first language for people who have not programmed before, and it provides high-level data structures that are well-suited to express solutions to the problems we are interested in. ...
Modeling and Simulation in Python is an introduction to physical modeling using a computational approach. It is organized in three parts: The first part presents discrete models, including a bikeshare system and world population growth; The second part introduces first-order systems, including models of infectious disease, thermal systems, and pharmacokinetics; The third part is about second-order systems, including mechanical systems like projectiles, celestial mechanics, and rotating rigid bodies. Taking a computational approach makes it possible to work with more realistic models than what you typically see in a first-year physics class, with the option to include features like friction and drag. Python is an ideal programming language for this material. It is a good first language for people who have not programmed before, and it provides high-level data structures that are well-suited to express solutions to the problems we are interested in. ...
Linux Observability with BPF
Build your expertise in the BPF virtual machine in the Linux kernel with this practical guide for systems engineers. You'll not only dive into the BPF program lifecycle but also learn to write applications that observe and modify the kernel's behavior; inject code to monitor, trace, and securely observe events in the kernel; and more. Authors David Calavera and Lorenzo Fontana help you harness the power of BPF to make any computing system more observable. Familiarize yourself with the essential concepts you'll use on a day-to-day basis and augment your knowledge about performance optimization, networking, and security. Then see how it all comes together with code examples in C, Go, and Python. Write applications that use BPF to observe and modify the Linux kernel's behavior on demand; Inject code to monitor, trace, and observe events in the kernel in a secure way - no need to recompile the kernel or reboot the system; Explore code examples in C, Go, and Python; Gain a more thorou ...
Build your expertise in the BPF virtual machine in the Linux kernel with this practical guide for systems engineers. You'll not only dive into the BPF program lifecycle but also learn to write applications that observe and modify the kernel's behavior; inject code to monitor, trace, and securely observe events in the kernel; and more. Authors David Calavera and Lorenzo Fontana help you harness the power of BPF to make any computing system more observable. Familiarize yourself with the essential concepts you'll use on a day-to-day basis and augment your knowledge about performance optimization, networking, and security. Then see how it all comes together with code examples in C, Go, and Python. Write applications that use BPF to observe and modify the Linux kernel's behavior on demand; Inject code to monitor, trace, and observe events in the kernel in a secure way - no need to recompile the kernel or reboot the system; Explore code examples in C, Go, and Python; Gain a more thorou ...
Thinking in Pandas
Understand and implement big data analysis solutions in pandas with an emphasis on performance. This book strengthens your intuition for working with pandas, the Python data analysis library, by exploring its underlying implementation and data structures. Thinking in Pandas introduces the topic of big data and demonstrates concepts by looking at exciting and impactful projects that pandas helped to solve. From there, you will learn to assess your own projects by size and type to see if pandas is the appropriate library for your needs. Author Hannah Stepanek explains how to load and normalize data in pandas efficiently, and reviews some of the most commonly used loaders and several of their most powerful options. You will then learn how to access and transform data efficiently, what methods to avoid, and when to employ more advanced performance techniques. You will also go over basic data access and munging in pandas and the intuitive dictionary syntax. Choosing the right DataFrame f ...
Understand and implement big data analysis solutions in pandas with an emphasis on performance. This book strengthens your intuition for working with pandas, the Python data analysis library, by exploring its underlying implementation and data structures. Thinking in Pandas introduces the topic of big data and demonstrates concepts by looking at exciting and impactful projects that pandas helped to solve. From there, you will learn to assess your own projects by size and type to see if pandas is the appropriate library for your needs. Author Hannah Stepanek explains how to load and normalize data in pandas efficiently, and reviews some of the most commonly used loaders and several of their most powerful options. You will then learn how to access and transform data efficiently, what methods to avoid, and when to employ more advanced performance techniques. You will also go over basic data access and munging in pandas and the intuitive dictionary syntax. Choosing the right DataFrame f ...
Building Progressive Web Applications with Vue.js
Obtain all the necessary tools for developing a progressive web application (PWA) with Vue.js, a modern JavaScript framework. You'll see how PWAs behave like a regular responsive website and have a similar structure to that of a web application, but feel like a native mobile app. Along the way you'll take advantage of Vue.js features to build fast, high-performing progressive web apps that work offline. Building Progressive Web Applications with Vue.js starts by explaining the basic concepts and structure of PWAs, and moves on to designing the app shell and other features that distinguish a PWA from simple web pages. In the following chapters, the book talks about the improved web technologies, such as service workers, caching strategies, background sync, and push notifications, that make PWAs powerful. ...
Obtain all the necessary tools for developing a progressive web application (PWA) with Vue.js, a modern JavaScript framework. You'll see how PWAs behave like a regular responsive website and have a similar structure to that of a web application, but feel like a native mobile app. Along the way you'll take advantage of Vue.js features to build fast, high-performing progressive web apps that work offline. Building Progressive Web Applications with Vue.js starts by explaining the basic concepts and structure of PWAs, and moves on to designing the app shell and other features that distinguish a PWA from simple web pages. In the following chapters, the book talks about the improved web technologies, such as service workers, caching strategies, background sync, and push notifications, that make PWAs powerful. ...
Biopython: Tutorial and Cookbook
The Biopython Project is an international association of developers tools for computational molecular biology. Python is an object oriented, interpreted,flexible language that is becoming increasingly popular for scientific computing. Python is easy to learn, hasa very clear syntax and can easily be extended with modules written in C, C++ or FORTRAN. Thegoal of Biopython is to make it as easy as possible to use Python for bioinformatics by creating high-quality, reusable modules and classes. Biopython features include parsers for various Bioinformatics file formats (BLAST, Clustalw, FASTA, Genbank,...), access to online services (NCBI, Expasy,...), interfaces to commonand not-so-common programs (Clustalw, DSSP, MSMS...), a standard sequence class, various clusteringmodules, a KD tree data structure etc. ...
The Biopython Project is an international association of developers tools for computational molecular biology. Python is an object oriented, interpreted,flexible language that is becoming increasingly popular for scientific computing. Python is easy to learn, hasa very clear syntax and can easily be extended with modules written in C, C++ or FORTRAN. Thegoal of Biopython is to make it as easy as possible to use Python for bioinformatics by creating high-quality, reusable modules and classes. Biopython features include parsers for various Bioinformatics file formats (BLAST, Clustalw, FASTA, Genbank,...), access to online services (NCBI, Expasy,...), interfaces to commonand not-so-common programs (Clustalw, DSSP, MSMS...), a standard sequence class, various clusteringmodules, a KD tree data structure etc. ...
Python Workout
The only way to master a skill is to practice. In Python Workout, author Reuven M. Lerner guides you through 50 carefully selected exercises that invite you to flex your programming muscles. As you take on each new challenge, you'll build programming skill and confidence. The thorough explanations help you lock in what you've learned and apply it to your own projects. Along the way, Python Workout provides over four hours of video instruction walking you through the solutions to each exercise and dozens of additional exercises for you to try on your own. To become a champion Python programmer you need to work out, building mental muscle with your hands on the keyboard. Each carefully selected exercise in this unique book adds to your Python prowess - one important skill at a time. Python Workout presents 50 exercises that focus on key Python 3 features. In it, expert Python coach Reuven Lerner guides you through a series of small projects, practicing the skills you need to tackle ...
The only way to master a skill is to practice. In Python Workout, author Reuven M. Lerner guides you through 50 carefully selected exercises that invite you to flex your programming muscles. As you take on each new challenge, you'll build programming skill and confidence. The thorough explanations help you lock in what you've learned and apply it to your own projects. Along the way, Python Workout provides over four hours of video instruction walking you through the solutions to each exercise and dozens of additional exercises for you to try on your own. To become a champion Python programmer you need to work out, building mental muscle with your hands on the keyboard. Each carefully selected exercise in this unique book adds to your Python prowess - one important skill at a time. Python Workout presents 50 exercises that focus on key Python 3 features. In it, expert Python coach Reuven Lerner guides you through a series of small projects, practicing the skills you need to tackle ...
Deep Learning with PyTorch
Every other day we hear about new ways to put deep learning to good use: improved medical imaging, accurate credit card fraud detection, long range weather forecasting, and more. PyTorch puts these superpowers in your hands, providing a comfortable Python experience that gets you started quickly and then grows with you as you - and your deep learning skills - become more sophisticated. Deep Learning with PyTorch will make that journey engaging and fun. Although many deep learning tools use Python, the PyTorch library is truly Pythonic. Instantly familiar to anyone who knows PyData tools like NumPy and scikit-learn, PyTorch simplifies deep learning without sacrificing advanced features. It's excellent for building quick models, and it scales smoothly from laptop to enterprise. Because companies like Apple, Facebook, and JPMorgan Chase rely on PyTorch, it's a great skill to have as you expand your career options. It's easy to get started with PyTorch. It minimizes cognitive overhead w ...
Every other day we hear about new ways to put deep learning to good use: improved medical imaging, accurate credit card fraud detection, long range weather forecasting, and more. PyTorch puts these superpowers in your hands, providing a comfortable Python experience that gets you started quickly and then grows with you as you - and your deep learning skills - become more sophisticated. Deep Learning with PyTorch will make that journey engaging and fun. Although many deep learning tools use Python, the PyTorch library is truly Pythonic. Instantly familiar to anyone who knows PyData tools like NumPy and scikit-learn, PyTorch simplifies deep learning without sacrificing advanced features. It's excellent for building quick models, and it scales smoothly from laptop to enterprise. Because companies like Apple, Facebook, and JPMorgan Chase rely on PyTorch, it's a great skill to have as you expand your career options. It's easy to get started with PyTorch. It minimizes cognitive overhead w ...
AI as a Service
Companies everywhere are moving everyday business processes over to the cloud, and AI is increasingly being given the reins in these tasks. As this massive digital transformation continues, the combination of serverless computing and AI promises to become the de facto standard for business-to-consumer platform development - and developers who can design, develop, implement, and maintain these systems will be in high demand! AI as a Service is a practical handbook to building and implementing serverless AI applications, without bogging you down with a lot of theory. Instead, you'll find easy-to-digest instruction and two complete hands-on serverless AI builds in this must-have guide! Cloud-based AI services can automate a variety of labor intensive business tasks in areas such as customer service, data analysis, and financial reporting. The secret is taking advantage of pre-built tools like Amazon Rekognition for image analysis or AWS Comprehend for natural language processing. That ...
Companies everywhere are moving everyday business processes over to the cloud, and AI is increasingly being given the reins in these tasks. As this massive digital transformation continues, the combination of serverless computing and AI promises to become the de facto standard for business-to-consumer platform development - and developers who can design, develop, implement, and maintain these systems will be in high demand! AI as a Service is a practical handbook to building and implementing serverless AI applications, without bogging you down with a lot of theory. Instead, you'll find easy-to-digest instruction and two complete hands-on serverless AI builds in this must-have guide! Cloud-based AI services can automate a variety of labor intensive business tasks in areas such as customer service, data analysis, and financial reporting. The secret is taking advantage of pre-built tools like Amazon Rekognition for image analysis or AWS Comprehend for natural language processing. That ...