Programowanie
Niezależnie czy dopiero rozpoczynacie swoją przygodę z programowaniem, czy jesteście już uznanymi na rynku profesjonalistami, to w kategorii Programowanie na pewno znajdziecie podręczniki, które pomogą Wam w przebiegu pracy, czy też w nauce podstaw programowania.
W książkach z tego działu zawarta jest wiedza zarówno związana z czysto technicznymi sprawami typu składnia języków, ale także z umiejętnościami bardziej "miękkimi" jak obsługa i wykorzystanie pełnych możliwości środowisk programistycznych, czy też projektowanie oprogramowania lub metody numeryczne czy oraz struktury danych.
Puppet for Containerization. Manage, orchestrate, and deploy containers with Puppet
Scott Coulton
This book teaches you how to take advantage of the new benefits of containerization systems such as Docker, Kubernetes, Docker Swarm, and Docker UCP, without losing the panoptical power of proper configuration management. You will learn how to integrate your containerized applications and modules with your Puppet workflow. You will also understand how to manage, monitor, and orchestrate hosts to keep deployed containers running seamlessly. With the help of this book, you can efficiently automate and document with containers, as a part of your system.The book will also cover use cases of deploying Puppet within a containerized environment.
Venkateshwaran Loganathan, Gopinath Jaganmohan
Elegantly-built GUI applications are always a massive hit among users. PySide is an open source software project that provides Python bindings for the Qt cross-platform UI framework. Combining the power of Qt and Python, PySide provides easy access to the Qt framework for Python developers and also acts as an excellent rapid application development platform.This book will take you through everything you need to know to develop UI applications. You will learn about installing and building PySide in various major operating systems as well as the basics of GUI programming. The book will then move on to discuss event management, signals and slots, and the widgets and dialogs available with PySide. Database interaction and manipulation is also covered.By the end of this book, you will be able to program GUI applications efficiently and master how to develop your own applications and how to run them across platforms.
Denny Lee, Tomasz Drabas
Apache Spark is an open source framework for efficient cluster computing with a strong interface for data parallelism and fault tolerance. The PySpark Cookbook presents effective and time-saving recipes for leveraging the power of Python and putting it to use in the Spark ecosystem.You’ll start by learning the Apache Spark architecture and how to set up a Python environment for Spark. You’ll then get familiar with the modules available in PySpark and start using them effortlessly. In addition to this, you’ll discover how to abstract data with RDDs and DataFrames, and understand the streaming capabilities of PySpark. You’ll then move on to using ML and MLlib in order to solve any problems related to the machine learning capabilities of PySpark and use GraphFrames to solve graph-processing problems. Finally, you will explore how to deploy your applications to the cloud using the spark-submit command.By the end of this book, you will be able to use the Python API for Apache Spark to solve any problems associated with building data-intensive applications.
pytest Quick Start Guide. Write better Python code with simple and maintainable tests
Bruno Oliveira
Python's standard unittest module is based on the xUnit family of frameworks, which has its origins in Smalltalk and Java, and tends to be verbose to use and not easily extensible.The pytest framework on the other hand is very simple to get started, but powerful enough to cover complex testing integration scenarios, being considered by many the true Pythonic approach to testing in Python.In this book, you will learn how to get started right away and get the most out of pytest in your daily work?ow, exploring powerful mechanisms and plugins to facilitate many common testing tasks. You will also see how to use pytest in existing unittest-based test suites and will learn some tricks to make the jump to a pytest-style test suite quickly and easily.
Mercury Learning and Information, Oswald Campesato
This book bridges the gap between theoretical knowledge and practical application in Python programming, machine learning, and using ChatGPT-4 in data science. It starts with an introduction to Pandas for data manipulation and analysis. The book then explores various machine learning classifiers, from kNN to SVMs. Later chapters cover GPT-4's capabilities, enhancing linear regression analysis, and using ChatGPT in data visualization, including AI apps, GANs, and DALL-E.The journey begins with mastering Pandas and machine learning fundamentals. It progresses to applying GPT-4 in linear regression and machine learning classifiers. The final chapters focus on using ChatGPT for data visualization, making complex results accessible and understandable.Understanding these concepts is crucial for modern data scientists. This book transitions readers from basic Python programming to advanced applications of ChatGPT-4 in data science. Companion files with source code, datasets, and figures enhance learning, making this an essential resource for mastering Python, machine learning, and AI-driven data visualization.
Python 3. Kolejne lekcje dla nowych programistów
Zed A. Shaw
Jeśli masz już za sobą napisanie pierwszych programów w Pythonie, to już wiesz, jak bardzo wszechstronny jest ten język i że jego możliwości są imponujące. Python nadaje się do bardzo wielu zastosowań, jednak jeśli chcesz go wykorzystać w pełni, musisz wyjść poza podstawy. Efektywny programista korzysta z wiedzy wykraczającej poza znajomość struktur języka, poza tym jest zdolny do obiektywnej refleksji nad własnymi możliwościami i stara się cały czas doskonalić swój warsztat. Dzięki tej książce, zanim się spostrzeżesz, wykonasz 52 interesujące i świetnie przygotowane projekty, dzięki którym zyskasz kluczowe praktyczne umiejętności i pogłębisz rozumienie sedna pracy programisty. Odkryjesz sposoby analizy problemu i nauczysz się projektować sposób jego implementacji w programie. Później zaczniesz projektować konkretne rozwiązania, dbając o ich prostotę i elegancję. Wystarczy, że wykażesz się dyscypliną, zaangażowaniem i wytrwałością, a już wkrótce zrozumiesz znaczenie procesu, rozwiniesz kreatywność, a przede wszystkim zadbasz o jakość tworzonego kodu. Twoim celem nie będzie już tylko pisanie "kodu, który działa". Zaczniesz tworzyć znakomity kod i staniesz się prawdziwym programistą, biegłym w Pythonie. W tej książce: praca ze złożonymi projektami korzystanie ze struktur danych algorytmy i przetwarzanie struktur danych techniki parsowania i przetwarzania tekstu modelowanie danych za pomocą języka SQL stosowanie prostych i zaawansowanych narzędzi systemu Unix Proces. Kreatywność. Jakość. Python.
Python 3 Object Oriented Programming. Harness the power of Python 3 objects
Dusty Phillips
Object Oriented Programming is a very important aspect of modern programming languages. The basic principles of Object Oriented Programming are relatively easy to learn. Putting them together into working designs can be challenging.This book makes programming more of a pleasure than a chore using powerful Python 3 object-oriented features of Python 3. It clearly demonstrates the core OOP principles and how to correctly implement OOP in Python. Object Oriented Programming ranks high in importance among the many models Python supports. Yet, many programmers never bother learning the powerful features that make this language object oriented.The book teaches when and how OOP should be correctly applied. It emphasizes not only the simple syntax of OOP in Python, but also how to combine these objects into well-designed software.This book will introduce you to the terminology of the object-oriented paradigm, focusing on object-oriented design with step-by-step examples. It will take you from simple inheritance, one of the most useful tools in the object-oriented programmer's toolbox, all the way through to cooperative inheritance, one of the most complicated. You will be able to raise, handle, define, and manipulate exceptions.You will be able to integrate the object-oriented and the not-so-object-oriented aspects of Python. You will also be able to create maintainable applications by studying higher level design patterns. You'll learn the complexities of string and file manipulation, and how Python distinguishes between binary and textual data. Not one, but two very powerful automated testing systems will be introduced to you. You'll understand the joy of unit testing and just how easy they are to create. You'll even study higher level libraries such as database connectors and GUI toolkits and how they apply object-oriented principles.
Dusty Phillips
Object-oriented programming (OOP) is a popular design paradigm in which data and behaviors are encapsulated in such a way that they can be manipulated together. This third edition of Python 3 Object-Oriented Programming fully explains classes, data encapsulation, and exceptions with an emphasis on when you can use each principle to develop well-designed software.Starting with a detailed analysis of object-oriented programming, you will use the Python programming language to clearly grasp key concepts from the object-oriented paradigm. You will learn how to create maintainable applications by studying higher level design patterns. The book will show you the complexities of string and file manipulation, and how Python distinguishes between binary and textual data. Not one, but two very powerful automated testing systems, unittest and pytest, will be introduced in this book. You'll get a comprehensive introduction to Python's concurrent programming ecosystem.By the end of the book, you will have thoroughly learned object-oriented principles using Python syntax and be able to create robust and reliable programs confidently.
Dusty Phillips
Object-oriented programming (OOP) is a popular design paradigm in which data and behaviors are encapsulated in such a way that they can be manipulated together. This third edition of Python 3 Object-Oriented Programming fully explains classes, data encapsulation, and exceptions with an emphasis on when you can use each principle to develop well-designed software.Starting with a detailed analysis of object-oriented programming, you will use the Python programming language to clearly grasp key concepts from the object-oriented paradigm. You will learn how to create maintainable applications by studying higher level design patterns. The book will show you the complexities of string and file manipulation, and how Python distinguishes between binary and textual data. Not one, but two very powerful automated testing systems, unittest and pytest, will be introduced in this book. You'll get a comprehensive introduction to Python's concurrent programming ecosystem.By the end of the book, you will have thoroughly learned object-oriented principles using Python syntax and be able to create robust and reliable programs confidently.
Dusty Phillips
Python 3 is more versatile and easier to use than ever. It runs on all major platforms in a huge array of use cases. Coding in Python minimizes development time and increases productivity in comparison to other languages. Clean, maintainable code is easy to both read and write using Python's clear, concise syntax.Object-oriented programming is a popular design paradigm in which data and behaviors are encapsulated in such a way that they can be manipulated together. Many modern programming languages utilize the powerful concepts behind object-oriented programming and Python is no exception.Starting with a detailed analysis of object-oriented analysis and design, you will use the Python programming language to clearly grasp key concepts from the object-oriented paradigm. This book fully explains classes, data encapsulation, inheritance, polymorphism, abstraction, and exceptions with an emphasis on when you can use each principle to develop well-designed software.You'll get an in-depth analysis of many common object-oriented design patterns that are more suitable to Python's unique style. This book will not just teach Python syntax, but will also build your confidence in how to program.You will also learn how to create maintainable applications by studying higher level design patterns. Following this, you'll learn the complexities of string and file manipulation, and how Python distinguishes between binary and textual data. Not one, but two very powerful automated testing systems will be introduced in the book. After you discover the joy of unit testing and just how easy it can be, you'll study higher level libraries such as database connectors and GUI toolkits and learn how they uniquely apply object-oriented principles. You'll learn how these principles will allow you to make greater use of key members of the Python eco-system such as Django and Kivy.This new edition includes all the topics that made Python 3 Object-oriented Programming an instant Packt classic. It's also packed with updated content to reflect recent changes in the core Python library and covers modern third-party packages that were not available on the Python 3 platform when the book was first published.
Python 3. Projekty dla początkujących i pasjonatów
Adam Jurkiewicz
Twórz różne programy w Pythonie - i baw się świetnie! Jeśli: chcesz poznać język Python od strony praktycznej przymierzasz się do matury z informatyki marzysz o karierze programisty to doskonale trafiłeś! Dzięki tej książce przekonasz się, jak wspaniałą przygodą jest programowanie i jak łatwo ją zacząć! Poznasz podstawy Pythona, dowiesz się, jak pisać i formatować kod, a także szybko nauczysz się uruchamiać swoje programy. Instrukcje sterujące, operatory, typy danych, funkcje, klasy i moduły nie będą miały przed Tobą tajemnic, a to jeszcze nie koniec! Przede wszystkim będziesz poznawać Pythona od strony praktycznej, tworząc projekty prawdziwych gier i symulacji oraz aplikacje do wizualizacji danych i anonimizowania metadanych plików graficznych. Możesz użyć tej książki jako pomocy w przygotowaniu do matury i wsparcia w wyborze drogi zawodowej. Przekonaj się, że nauka może być najlepszą zabawą. Baw się dobrze i zdaj egzamin celująco - oczywiście z Pythonem! środowisko IDLE podstawy Pythona w wersji 3.6 i wyższej konstrukcje języka projekty gier symulacje fizyczne prezentacja i wizualizacja danych praktyczne zastosowania Pythona Okiełznaj Pythona i naucz się programować!
Python 3. Proste wprowadzenie do fascynującego świata programowania
Zed A. Shaw
Python jest dojrzałym, elastycznym i bardzo wszechstronnym językiem programowania. Nadaje się do budowy przeróżnych aplikacji, a także do tworzenia programów służących do bardzo specyficznych zastosowań, takich jak badania naukowe. Aby jednak w pełni wykorzystać te imponujące możliwości, musisz pisać dobry kod: przejrzysty, zwięzły, działający poprawnie. Niestety, nie jest łatwo nauczyć się dobrego programowania. To coś więcej niż przyswojenie zestawu poleceń i słów kluczowych. Wymaga czasu, wysiłku, sporego zaangażowania i... dobrego przewodnika na tej trudnej ścieżce. Niniejsza książka jest właśnie takim dobrym przewodnikiem dla początkujących programistów. Jest napisana w sposób łatwy i wciągający. Duży nacisk położono na analizę tworzonego kodu. Jeśli tylko skoncentrujesz się na wykonywanych zadaniach, zdobędziesz się na zaangażowanie i dokładność, zrozumienie znaczenia każdej linii programu przyjdzie łatwo. Wartościowym elementem książki są wskazówki, jak zepsuć napisany kod, a następnie go zabezpieczyć. Dzięki temu łatwiej Ci przyjdzie unikanie błędów. Dzięki tej książce zdobędziesz trzy najważniejsze umiejętności każdego programisty: czytanie i pisanie ze zrozumieniem, dbałość o szczegóły oraz dostrzeganie różnic. Najistotniejsze zagadnienia poruszone w książce: przygotowanie kompletnego środowiska programistycznego organizowanie, pisanie, psucie i naprawianie kodu programowanie obiektowe projektowanie programu i testowanie kodu podstawy budowy aplikacji internetowych i prostszych gier Zrozum Pythona, pisz dobry kod!
Python 3. Proste wprowadzenie do fascynującego świata programowania
Zed A. Shaw
Python jest dojrzałym, elastycznym i bardzo wszechstronnym językiem programowania. Nadaje się do budowy przeróżnych aplikacji, a także do tworzenia programów służących do bardzo specyficznych zastosowań, takich jak badania naukowe. Aby jednak w pełni wykorzystać te imponujące możliwości, musisz pisać dobry kod: przejrzysty, zwięzły, działający poprawnie. Niestety, nie jest łatwo nauczyć się dobrego programowania. To coś więcej niż przyswojenie zestawu poleceń i słów kluczowych. Wymaga czasu, wysiłku, sporego zaangażowania i... dobrego przewodnika na tej trudnej ścieżce. Niniejsza książka jest właśnie takim dobrym przewodnikiem dla początkujących programistów. Jest napisana w sposób łatwy i wciągający. Duży nacisk położono na analizę tworzonego kodu. Jeśli tylko skoncentrujesz się na wykonywanych zadaniach, zdobędziesz się na zaangażowanie i dokładność, zrozumienie znaczenia każdej linii programu przyjdzie łatwo. Wartościowym elementem książki są wskazówki, jak zepsuć napisany kod, a następnie go zabezpieczyć. Dzięki temu łatwiej Ci przyjdzie unikanie błędów. Dzięki tej książce zdobędziesz trzy najważniejsze umiejętności każdego programisty: czytanie i pisanie ze zrozumieniem, dbałość o szczegóły oraz dostrzeganie różnic. Najistotniejsze zagadnienia poruszone w książce: przygotowanie kompletnego środowiska programistycznego organizowanie, pisanie, psucie i naprawianie kodu programowanie obiektowe projektowanie programu i testowanie kodu podstawy budowy aplikacji internetowych i prostszych gier Zrozum Pythona, pisz dobry kod!
Python 3 Using ChatGPT / GPT-4. Harnessing AI for Efficient Python Programming
Mercury Learning and Information, Oswald Campesato
This book is for people who want to learn Python 3 and how to use ChatGPT with Python. It starts with an introduction to Python programming, covering data types, number formatting, Unicode handling, and text manipulation. The book then covers loops, conditional logic, reserved words, user input, exception management, and command-line arguments.The journey continues into Generative AI, discussing its distinction from Conversational AI. Popular platforms like ChatGPT and GPT-4 are explored, along with their strengths, weaknesses, and potential applications. The book shows how to generate Python 3 code samples via ChatGPT using the “Code Interpreter” plugin.Understanding these concepts is crucial for navigating Python and AI. This book transitions readers from basic Python programming to advanced AI applications, blending theory with practical skills. Companion files with code samples and figures enhance learning, making this an essential resource for mastering Python and ChatGPT.
Giuseppe Bonaccorso, Armando Fandango, Rajalingappaa Shanmugamani
This Learning Path is your complete guide to quickly getting to grips with popular machine learning algorithms. You'll be introduced to the most widely used algorithms in supervised, unsupervised, and semi-supervised machine learning, and learn how to use them in the best possible manner. Ranging from Bayesian models to the MCMC algorithm to Hidden Markov models, this Learning Path will teach you how to extract features from your dataset and perform dimensionality reduction by making use of Python-based libraries. You'll bring the use of TensorFlow and Keras to build deep learning models, using concepts such as transfer learning, generative adversarial networks, and deep reinforcement learning. Next, you'll learn the advanced features of TensorFlow1.x, such as distributed TensorFlow with TF clusters, deploy production models with TensorFlow Serving. You'll implement different techniques related to object classification, object detection, image segmentation, and more. By the end of this Learning Path, you'll have obtained in-depth knowledge of TensorFlow, making you the go-to person for solving artificial intelligence problemsThis Learning Path includes content from the following Packt products:• Mastering Machine Learning Algorithms by Giuseppe Bonaccorso• Mastering TensorFlow 1.x by Armando Fandango• Deep Learning for Computer Vision by Rajalingappaa Shanmugamani
Pushpak Dagade
If you want to find out how you can build a solid foundation in algorithmic trading using Python, this cookbook is here to help.Starting by setting up the Python environment for trading and connectivity with brokers, you’ll then learn the important aspects of financial markets. As you progress, you’ll learn to fetch financial instruments, query and calculate various types of candles and historical data, and finally, compute and plot technical indicators. Next, you’ll learn how to place various types of orders, such as regular, bracket, and cover orders, and understand their state transitions. Later chapters will cover backtesting, paper trading, and finally real trading for the algorithmic strategies that you've created. You’ll even understand how to automate trading and find the right strategy for making effective decisions that would otherwise be impossible for human traders.By the end of this book, you’ll be able to use Python libraries to conduct key tasks in the algorithmic trading ecosystem.Note: For demonstration, we're using Zerodha, an Indian Stock Market broker. If you're not an Indian resident, you won't be able to use Zerodha and therefore will not be able to test the examples directly. However, you can take inspiration from the book and apply the concepts across your preferred stock market broker of choice.
Aristides Bouras
This course is meticulously designed to take beginners on a journey through the fascinating world of Python programming and algorithmic thinking. The initial chapters lay a strong foundation, starting with the basics of how computers operate, moving into Python programming, and familiarizing learners with integrated development environments like IDLE and Visual Studio Code.Further, the course delves into essential programming constructs such as variables, constants, input/output handling, and operators. You'll gain practical experience with trace tables, sequence control structures, and decision control structures through comprehensive exercises and examples. The curriculum emphasizes hands-on learning with chapters dedicated to manipulating numbers, strings, and understanding complex mathematical expressions. By mastering these concepts, you'll be well-prepared to tackle more advanced topics.The final chapters introduce you to object-oriented programming and file manipulation, rounding out your skill set. Throughout the course, practical tips and tricks are provided to enhance your coding efficiency and problem-solving skills. By the end of this course, you will have a robust understanding of Python programming and the ability to apply algorithmic thinking to solve real-world problems.
Aristides Bouras
This course is meticulously designed to take beginners on a journey through the fascinating world of Python programming and algorithmic thinking. The initial chapters lay a strong foundation, starting with the basics of how computers operate, moving into Python programming, and familiarizing learners with integrated development environments like IDLE and Visual Studio Code.Further, the course delves into essential programming constructs such as variables, constants, input/output handling, and operators. You'll gain practical experience with trace tables, sequence control structures, and decision control structures through comprehensive exercises and examples. The curriculum emphasizes hands-on learning with chapters dedicated to manipulating numbers, strings, and understanding complex mathematical expressions. By mastering these concepts, you'll be well-prepared to tackle more advanced topics.The final chapters introduce you to object-oriented programming and file manipulation, rounding out your skill set. Throughout the course, practical tips and tricks are provided to enhance your coding efficiency and problem-solving skills. By the end of this course, you will have a robust understanding of Python programming and the ability to apply algorithmic thinking to solve real-world problems.