Ergebnis für "Python" in Programmieren & Softwareentwicklung

Python ist die ideale Programmiersprache, um Programmieren zu lernen. Die Sprache ist sowohl sehr simpel als auch vielseitig einsetzbar. Das macht Python zu einer der populärsten Programmiersprachen überhaupt. Zu Beginn lernst du die Grundlagen der Programmiersprache Python, also Datentypen, Variablen, Kontrollstukturen, Schleifen und Funktionen.

Der leichte Weg zum Python-Experten! Python ist eine weit verbreitete, universell einsetzbare und leicht zu erlernende Programmiersprache und eignet sich daher bestens zum Programmieren lernen! In diesem Buch wird das Programmieren in Python beginnend mit den Grundlagen leicht und verständlich erklärt, ohne dass dabei Vorkenntnisse vorausgesetzt werden. Ein besonderer Fokus wird dabei auf die Objektorientiere Programmierung (OOP) und das Erstellen von grafischen Oberflächen gelegt.

Easy to understand and engaging, this updated edition of Introducing Python is ideal for beginning programmers as well as those new to the language. Author Bill Lubanovic takes you from the basics to more involved and varied topics, mixing tutorials with cookbook-style code recipes to explain concepts in Python 3. End-of-chapter exercises help you practice what you've learned.

This portable Dummies Essentials book focuses on the key topics you need to know about the popular Python language. Great for supplementing a course, reviewing for a certification, or staying knowledgeable on the job.

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.

Deep Learning with Python (Second Edition) introduces the field of deep learning using Python and the powerful Keras library. In this revised and expanded new edition, Keras creator François Chollet offers insights for both novice and experienced machine learning practitioners. As you move through this book, you’ll build your understanding through intuitive explanations and clear examples. You’ll quickly pick up the skills you need to start developing deep learning applications.

The Python-Based Laboratory: A Hands-On Guide for Scientists and Engineers provides a learn-by-doing approach to acquiring the Python programming skills needed to implement computer-controlled experimental work.

The bestselling book on Python deep learning, now covering generative AI, Keras 3, PyTorch, and JAX! Deep Learning with Python (Third Edition) puts the power of deep learning in your hands. This new edition includes the latest Keras and TensorFlow features, generative AI models, and added coverage of PyTorch and JAX. Learn directly from the creator of Keras and step confidently into the world of deep learning with Python.

Computer programmers are increasingly in demand in the world. It is estimated that over 50 percent of companies fail to hire Python programmers because there are not enough advanced and prepared programmers. The problem, however, is that the world is full of books and technical courses that are not able to easily explain the Python programming language and teach how to analyze the data properly.

Deep Learning with Python introduces the field of deep learning using the Python language and the powerful Keras library. Written by Keras creator and Google AI researcher François Chollet, this audiobook builds your understanding through intuitive explanations and practical examples. You'll explore challenging concepts and practice with applications in computer vision, natural-language processing, and generative models. By the time you finish, you'll have the knowledge and hands-on skills to apply deep learning in your own projects.

There are countless ways to put deep learning to good use: improved medical imaging, credit card fraud detection, long range weather forecasting. 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.

Professional developers know the many benefits of writing application code that’s clean, well-organized, and easy to maintain. By learning and following established patterns and best practices, you can take your code and your career to a new level. With Practices of the Python Pro, you’ll learn to design professional-level, clean, easily maintainable software at scale using the incredibly popular programming language, Python.

Learn data science with Python by building five real-world projects! Experiment with card game predictions, tracking disease outbreaks, and more, as you build a flexible and intuitive understanding of data science. In Data Science Bookcamp, you’ll test and build your knowledge of Python with the kind of open-ended problems that professional data scientists work on every day. Downloadable data sets and thoroughly-explained solutions help you lock in what you’ve learned, building your confidence and making you ready for an exciting new data science career.

Make better decisions with this easy deconstructed guide to data analytics. Want to add data analytics to your skill stack? Having trouble finding where to start? Cell-by-cell, bit-by-bit, this audiobook teaches you the vocabulary, tools, and basic algorithms to think like a data scientist. Like putting together a complex Lego set, each section connects and adds individual blocks of knowledge to build your data literacy. This linear structure to unpacking data analytics takes you from zero to confidently analyzing and discussing data problems.

Hello, world. Facebook's algorithms shaping the news. Self-driving cars roaming the streets. Revolution on Twitter and romance on Tinder. We live in a world constructed of code--and coders are the ones who built it for us. From acclaimed tech writer Clive Thompson comes a brilliant...

Are you fed up with reading long, boring, lengthy paragraphs after paragraphs of text and want to get up and running in Python as soon as possible? Well, you're not alone. I for one hate having to read through masses of text for very little benefit. Python Programming: How to Code Python Fast in Just 24 Hours with Seven Simple Steps strips away the non-essentials and instead provides you with the fundamentals from which you can blossom as a Python programmer in just seven simple steps.

These programming languages help in making programs which increase the overall productivity, communication, and efficiency of the work. Out of so many programming languages to choose from, python is one of the most loved programming languages among computer geeks. This is because python is one of those rare languages that is both simple and powerful. Python has everything that you may require to make a new program. If you will see someone writing a program in python, you will be really surprised to see how easy it is in python to find the solution for a problem.

Learn Python fundamentals that can be used in any programming setting—use the guidance in this book to program your own game in a unique and practical Python learning experience. In Python QuickStart Guide, senior developer and programmer Robert Oliver lays out the quickest and most accessible path yet to the mastery of Python fundamentals.

This revision of Manning's popular The Quick Python Book offers a clear, crisp introduction to the elegant Python programming language and its famously easy-to-read syntax. Written for programmers new to Python, this edition covers features common to other languages concisely, while introducing Python's comprehensive standard functions library and unique features in detail. After exploring Python's syntax, control flow, and basic data structures, the book shows how to create, test, and deploy full applications and larger code libraries.

Natural Language Processing in Action is your guide to building machines that can read and interpret human language. In it, you'll use readily available Python packages to capture the meaning in text and react accordingly. The book expands traditional NLP approaches to include neural networks, modern deep learning algorithms, and generative techniques as you tackle real-world problems like extracting dates and names, composing text, and answering free-form questions.