Python. Automatyzacja zadań. Jak efektywnie pracować z danymi, arkuszami Excela, raportami i e-mailami. Wydanie II

Ile czasu marnujesz na wykonywanie monotonnych, długotrwałych zadań? Mowa o przeglądaniu setek stron czy plików, ręcznym przekształcaniu danych, rozsyłaniu e-maili, tworzeniu wykresów i wielu innych nudnych czynnościach. A gdyby tak zlecić tę pracę komputerowi, a samemu zająć się bardziej odpowiedzialnymi i kreatywnymi zadaniami? To jest do zrobienia — trzeba tylko poświęcić nieco czasu i odpowiednio wykorzystać dostępne rozwiązania, takie jak Python i imponująca kolekcja opracowanych dla tego języka narzędzi, bibliotek i rozszerzeń. Ta książka jest praktycznym zbiorem gotowych receptur, przeznaczonym dla początkujących użytkowników Pythona. Wydanie zostało dostosowane do wersji 3.8 języka, dodano też nowy materiał dotyczący automatyzowania testów, uczenia maszynowego i pracy z nieuporządkowanymi danymi. Dzięki lekturze zaczniesz automatyzować procesy biznesowe — napiszesz aplikację do pobierania informacji ze stron internetowych, tworzenia raportów z wykresami i diagramami na podstawie arkuszów kalkulacyjnych, a także automatycznego generowania e-maili. Będziesz również tworzyć zaawansowane grafiki z potrzebnymi informacjami, automatyzować kampanie marketingowe oraz stosować techniki testowania i debugowania. W książce znajdziesz receptury, dzięki którym: przekształcisz dane na potrzeby data science za pomocą biblioteki pandas zautomatyzujesz klasyfikowanie tekstu, filtrowanie e-maili i pobieranie informacji ze stron WWW użyjesz biblioteki Matplotlib do generowania wykresów, diagramów i map zautomatyzujesz różne zadania związane z generowaniem raportów nauczysz się pracy z Beautiful Soup, programem cron, a także z dziennikami i wyrażeniami regularnymi napiszesz bot dla komunikatora Telegram, czytnik kanałów RSS i model uczenia maszynowego Automatyzacja: monotonne zadania zostaw Pythonowi! Get a firm grip on the core processes including browser automation, web scraping, Word, Excel, and GUI automation with Python 3.8 and higherKey FeaturesAutomate integral business processes such as report generation, email marketing, and lead generationExplore automated code testing and Python's growth in data science and AI automation in three new chaptersUnderstand techniques to extract information and generate appealing graphs, and reports with MatplotlibBook DescriptionIn this updated and extended version of Python Automation Cookbook, each chapter now comprises the newest recipes and is revised to align with Python 3.8 and higher. The book includes three new chapters that focus on using Python for test automation, machine learning projects, and for working with messy data.This edition will enable you to develop a sharp understanding of the fundamentals required to automate business processes through real-world tasks, such as developing your first web scraping application, analyzing information to generate spreadsheet reports with graphs, and communicating with automatically generated emails.Once you grasp the basics, you will acquire the practical knowledge to create stunning graphs and charts using Matplotlib, generate rich graphics with relevant information, automate marketing campaigns, build machine learning projects, and execute debugging techniques.By the end of this book, you will be proficient in identifying monotonous tasks and resolving process inefficiencies to produce superior and reliable systems.What you will learnLearn data wrangling with Python and Pandas for your data science and AI projectsAutomate tasks such as text classification, email filtering, and web scraping with PythonUse Matplotlib to generate a variety of stunning graphs, charts, and mapsAutomate a range of report generation tasks, from sending SMS and email campaigns to creating templates, adding images in Word, and even encrypting PDFsMaster web scraping and web crawling of popular file formats and directories with tools like Beautiful SoupBuild cool projects such as a Telegram bot for your marketing campaign, a reader from a news RSS feed, and a machine learning model to classify emails to the correct department based on their contentCreate fire-and-forget automation tasks by writing cron jobs, log files, and regexes with Python scriptingWho this book is forPython Automation Cookbook - Second Edition is for developers, data enthusiasts or anyone who wants to automate monotonous manual tasks related to business processes such as finance, sales, and HR, among others. Working knowledge of Python is all you need to get started with this book. Get a firm grip on the core processes including browser automation, web scraping, Word, Excel, and GUI automation with Python 3.8 and higher Key Features Automate integral business processes such as report generation, email marketing, and lead generation Explore automated code testing and Python's growth in data science and AI automation in three new chapters Understand techniques to extract information and generate appealing graphs, and reports with Matplotlib Book Description In this updated and extended version of Python Automation Cookbook, each chapter now comprises the newest recipes and is revised to align with Python 3.8 and higher. The book includes three new chapters that focus on using Python for test automation, machine learning projects, and for working with messy data. This edition will enable you to develop a sharp understanding of the fundamentals required to automate business processes through real-world tasks, such as developing your first web scraping application, analyzing information to generate spreadsheet reports with graphs, and communicating with automatically generated emails. Once you grasp the basics, you will acquire the practical knowledge to create stunning graphs and charts using Matplotlib, generate rich graphics with relevant information, automate marketing campaigns, build machine learning projects, and execute debugging techniques. By the end of this book, you will be proficient in identifying monotonous tasks and resolving process inefficiencies to produce superior and reliable systems. What you will learn Learn data wrangling with Python and Pandas for your data science and AI projects Automate tasks such as text classification, email filtering, and web scraping with Python Use Matplotlib to generate a variety of stunning graphs, charts, and maps Automate a range of report generation tasks, from sending SMS and email campaigns to creating templates, adding images in Word, and even encrypting PDFs Master web scraping and web crawling of popular file formats and directories with tools like Beautiful Soup Build cool projects such as a Telegram bot for your marketing campaign, a reader from a news RSS feed, and a machine learning model to classify emails to the correct department based on their content Create fire-and-forget automation tasks by writing cron jobs, log files, and regexes with Python scripting Who this book is for Python Automation Cookbook - Second Edition is for developers, data enthusiasts or .. This new and updated edition includes 75 recipes that cover the entire spectrum of skills you need for enterprise process automation and save time wasted in performing recurrent tasks. This book also features three new chapters that focus on using Python for automating testing routines, machine learning projects, and for working with messy ...