Python is a high-level scripting language. It is easy to learn and more robust than other languages because of its dynamic nature and simple syntax, which allows small lines of code. Indentation and object-oriented, functional programming make it simple. Such advantages of Python makes it different from another language, and that's why Python is preferred for development in companies mostly. In industries, machine learning using Python has become popular. This is because it has standard libraries that are used for scientific and numerical calculations. 

Data science is the application of a combination of mathematical, statistical, analytical, and programming skills for the collection, organization, and interpretation of data to allow effective and proper management of the business whose data it is. The job of such a scientist is trending all over the world. The demand for such scientists is huge, more than the number of available candidates. Data science is a field of study that is growing at a fast pace. From big tech companies to E-commerce companies to websites and many others are now relying on data science.

This book provides the first comprehensive overview of software architecture’s many aspects. Aspiring and existing architects alike will examine architectural characteristics, architectural patterns, component determination, diagramming and presenting architecture, evolutionary architecture, and many other topics. Mark Richards and Neal Ford - hands-on practitioners who have taught software architecture classes professionally for years - focus on architecture principles that apply across all technology stacks.

From batting averages and political polls to game shows and medical research, the real-world application of statistics continues to grow by leaps and bounds. How can we catch schools that cheat on standardized tests? How does Netflix know which movies you'll like? What is causing the rising incidence of autism? As best-selling author Charles Wheelan shows us in Naked Statistics, the right data and a few well-chosen statistical tools can help us answer these questions and more.

Noted software expert Robert C. Martin presents a revolutionary paradigm with Clean Code: A Handbook of Agile Software Craftsmanship. Martin has teamed up with his colleagues from Object Mentor to distill their best agile practice of cleaning code “on the fly” into a book that will instill within you the values of a software craftsman and make you a better programmer - but only if you work at it.

From finding a spouse to finding a parking spot, from organizing one's inbox to understanding the workings of human memory, Algorithms to Live By transforms the wisdom of computer science into strategies for human living.

Dave Thomas and Andy Hunt wrote the first edition of this influential book in 1999 to help their clients create better software and rediscover the joy of coding. These lessons have helped a generation of programmers examine the very essence of software development. Now, 20 years later, this new edition re-examines what it means to be a modern programmer. Topics range from personal responsibility and career development to architectural techniques for keeping your code flexible and easy to adapt and reuse.

How can software engineers manage a living codebase that evolves and responds to changing requirements and demands over the length of its life? Based on their experience at Google, software engineers Titus Winters and Hyrum Wright, along with technical writer Tom Manshreck, present a candid and insightful look at how some of the world’s leading practitioners construct and maintain software. This book covers Google’s unique engineering culture, processes, and tools and how these aspects contribute to the effectiveness of an engineering organization. 

Most books about the history of humanity pursue either a historical or a biological approach, but Dr. Yuval Noah Harari breaks the mold with this highly original book. From examining the role evolving humans have played in the global ecosystem to charting the rise of empires, Sapiens integrates history and science to reconsider accepted narratives, connect past developments with contemporary concerns, and examine specific events within the context of larger ideas.

Python is known as the easiest programming language in the world. Even if it is so easy that kids can learn the basics, you are able to develop big and complex projects. Google Search and YouTube are just some examples of big products powered by Python. Statistics revealed that 6 out of 10 parents preferred their children to learn Python instead of French. There is a high demand for people to know programming language.

Statistics are everywhere, as integral to science as they are to business, and in the popular media hundreds of times a day. In this age of big data, a basic grasp of statistical literacy is more important than ever if we want to separate the fact from the fiction, the ostentatious embellishments from the raw evidence - and even more so if we hope to participate in the future, rather than being simple bystanders.

If you need a go-to guide with numerous examples and coded programs, Python Machine Learning will be the answer. If you want to train your own models and enhance them to achieve your demand, Python Machine Learning is the exact tool. Do you want to train the machines and model to carry out complex jobs with accurate date and predictions in a more efficient way? Do you want to have a quick start in the right direction to enter into the Python world?  

The fastest way to learn docker programming! Docker Tutorial For Beginners gets right to the point when learning Docker. All the answers you need to start with docker are in this audiobook. Cut through the learning curve with the information in this audiobook. Effortlessly program organizations with docker. Docker is a type of computer program that is able to do virtualization at the operating system level. All aspects of docker are explained in this audiobook.

You are about to build your knowledge of data science to perhaps build a career out of it even if you are a complete beginner! The most valuable resource is no longer oil and gold; data reigns supreme these days! And if data is the most valuable resource, perhaps the field of data science is the most critical of them all! It is so lucrative that the median entry level starting salary of a data scientist is $98,000! 

Listen to hilarious stories with serious lessons that Michael Lopp extracts from his varied and sometimes bizarre experiences as a manager at Apple, Pinterest, Palantir, Netscape, Symantec, Slack, and Borland. Many of the stories first appeared in primitive form in Lopp’s perennially popular blog, Rands in Repose. The third edition of Managing Humans contains a whole new season of episodes from the ongoing saga of Lopp's adventures in Silicon Valley, together with classic episodes remastered for high fidelity and freshness.