learning python mark lutz
Learning Python - Mark Lutz
Get a comprehensive, in-depth introduction to the core Python language with this hands-on book. Based on author Mark Lutz's popular training course, this updated sixth edition will help you quickly write efficient, high-quality code with Python.
Objev podobné jako Learning Python - Mark Lutz
Learning Python - Fabrizio Romano
Learn to code like a professional with Python – an open source, versatile, and powerful programming languageKey FeaturesLearn the fundamentals of programming with Python – one of the best languages ever createdDevelop a strong set of programming skills that you will be able to express in any situation, on every platform, thanks to Python’s portabilityCreate outstanding applications of all kind, from websites to scripting, and from GUIs to data scienceBook DescriptionLearning Python has a dynamic and varied nature. It reads easily and lays a good foundation for those who are interested in digging deeper. It has a practical and example-oriented approach through which both the introductory and the advanced topics are explained. Starting with the fundamentals of programming and Python, it ends by exploring very different topics, like GUIs, web apps and data science. The book takes you all the way to creating a fully fledged application. The book begins by exploring the essentials of programming, data structures and teaches you how to manipulate them. It then moves on to controlling the flow of a program and writing reusable and error proof code. You will then explore different programming paradigms that will allow you to find the best approach to ... Unknown localization key: "more"
Objev podobné jako Learning Python - Fabrizio Romano
Looking for Learning: Mark Making - Laura England
Looking for Learning: Mark Making is a full-colour, practical guide linked to current policy and the EYFS framework. Laura England, creator of Little Miss Early Years, uses theory, cases studies, real-life images and accessible ideas to inspire child-led learning using mark making.This book will help you spark children’s natural curiosity in seeing what happens when they make marks with their fingers, bodies and toys, as well as materials from nature and from your art supplies. From drawing around shadows and swirling paint in water, to printing animal footprints, Laura England, creator of Little Miss Early Years, provides a wealth of creative ideas for incorporating mark making into all child-led play, both indoors and outside. Developing mark making and building language skills are crucial as young children begin to build their confidence in communicating. This dip-in-and-out book is linked to the Characteristics of Effective Learning and presents real-life examples and images as well as practical pointers.With tips from setting up the environment to the adult''s role in this child-led play, Looking for Learning: Mark Making is ideal for all Early Years practitioners searching for accessible ideas for using mark making in their settings.Looking for Learning books are the number one tool ... Unknown localization key: "more"
Objev podobné jako Looking for Learning: Mark Making - Laura England
Unlocking Python - Ryan Mitchell
A fun and practical guide to learning Python with a special focus on data science, web scraping, and web applications In Unlocking Python: A Comprehensive Guide for Beginners, veteran software engineer, educator, and author Ryan Mitchell delivers an intuitive, engaging, and practical roadmap to Python programming. The author walks you through the vocabulary, tools, foundational knowledge, and occasional pop-culture references you'll need to hone your skills with this popular programming language. You'll learn how to install and run Python on your own machine, get up and coding with the language quickly, and best practices for programming both independently and in the workplace. You'll also find: Key concepts in computer and data science explained from the ground upAdvanced Python topics such as logging, unit testing, multiprocessing, and interacting with databases. Introductions to some of Python's most popular third-party libraries: Flask, Django, Scrapy, Scikit-Learn, Numpy, and PandasAmusing anecdotes from the trenches of industry Perfect for tech-savvy professionals at any stage of their careers who are interested in diving into Python programming. Unlocking Python is also a must-read for readers who work in a technical role but are interested in getting more directly involved with programming, as well as non-Python programmers who want ... Unknown localization key: "more"
Objev podobné jako Unlocking Python - Ryan Mitchell
Learn Python the Hard Way - Zed Shaw
You Will Learn Python! Zed Shaw has created the world''s most reliable system for learning Python. Follow it and you will succeed--just like the millions of beginners Zed has taught to date! You bring the discipline, persistence, and attention; the author supplies the masterful knowledge you need to succeed. In Learn Python the Hard Way, Fifth Edition, you''ll learn Python by working through 60 lovingly crafted exercises. Read them. Type in the code. Run it. Fix your mistakes. Repeat. As you do, you''ll learn how a computer works, how to solve problems, and how to enjoy programming . . . even when it''s driving you crazy. Install a complete Python environment Organize and write code Fix and break code Basic mathematics Strings and text Interact with users Work with files Looping and logic Object-oriented programming Data structures using lists and dictionaries Modules, classes, and objects Python packaging Automated testing Basic SQL for Data Science Web scraping Fixing bad data (munging) The "Data" part of "Data Science" It''ll be frustrating at first. But if you keep trying, you''ll get it--and it''ll feel amazing! This course will reward you for every minute you put into it. Soon, you''ll know one of the ... Unknown localization key: "more"
Objev podobné jako Learn Python the Hard Way - Zed Shaw
Coding with Python - Create Amazing Graphics - Max Wainewright
Coding with Python – Create Amazing Graphics introduces coding in Python through a variety of projects. Each one teaches new coding concepts and results in some amazing graphics.Python is a powerful, text-based programming language essential to grasp for serious coding but can be dull to learn. This book focuses on inspired learning. Step-by-step, it illustrates how to use Python code to create exciting and colourful graphics — making learning Python great fun!Learn Python code to:Use random numbers to create unique artworkMix colours together using variables to create amazing effectsUse loops to repeat your code and create intricate patternsCode your own functions and build up your own designs
Objev podobné jako Coding with Python - Create Amazing Graphics - Max Wainewright
Python Without Fear - Brian Overland
Praise for this book, Python Without Fear “This is really a great book. I wish I’d had it when I was learning Python.†–John M. Wargo, author of Apache Cordova 4 Programming Praise for the previous book in the series, C++ Without Fear “I’m in love with your C++ Without Fear book. It keeps me awake for hours during the night. Thanks to you, I got most of the idea in just a few hours.†–Laura Viral, graduate physics student at CERN and Istanbul, Turkey “It’s hard to tell where I began and ended with your book. I felt like I woke up and literally knew how to write C++ code. I can’t overstate the confidence you gave me.†– Danny Grady, senior programmer/analyst at a Fortune 500 Company Whether you’re new to programming or moving from another language, Python Without Fear will quickly make you productive! Brian Overland’s unique approach to Python includes: Taking you by the hand while teaching topics from the very basics to intermediate and advanced features of Python Teaching by examples that are explained line by line Heavy emphasis on examples that are fun and useful, including games, graphics, database applications, file storage, puzzles, and ... Unknown localization key: "more"
Objev podobné jako Python Without Fear - Brian Overland
Job Ready Python - Haythem Balti, Kimberly A. Weiss
Get ready to take on Python with a practical and job-focused guide Job Ready Python offers readers a straightforward and elegant approach to learning Python that emphasizes hands-on and employable skills you can apply to real-world environments immediately. Based on the renowned mthree Global Academy and Software Guild training program, this book will get you up to speed in the basics of Python, loops and data structures, object-oriented programming, and data processing. You’ll also get: Thorough discussions of Extract, Transform, and Load (ETL) scripting in Python Explorations of databases, including MySQL, and MongoDB—all commonly used database platforms in the field Simple, step-by-step approaches to dealing with dates and times, CSV files, and JSON files Ideal for Python newbies looking to make a transition to an exciting new career, Job Ready Python also belongs on the bookshelves of Python developers hoping to brush up on the fundamentals with an authoritative and practical new handbook. Â
Objev podobné jako Job Ready Python - Haythem Balti, Kimberly A. Weiss
Rabalux 74199 stolní LED lampa s klipem Marcin, černá
Stolní LED lampa Marcin s klipem je vyrobena z plastu a nabízí mobilní uchycení na různé povrchy. Disponuje dotykovým spínačem s možností stmívání a LED zdrojem o výkonu 7 W s teplým bílým světlem. Rozměry jsou 270 mm šířka, 360 mm výška a délka kabelu 1500 mm.
- Mobilní klipsové uchycení pro snadné přemístění na stůl nebo police
- Dotykové ovládání s možností stmívání na 10%, 40% nebo 100% jasu
- Úsporný LED zdroj s dlouhou životností 25 000 hodin a teplým bílým světlem (3000K)
- Moderní design se zahnutou stopkou a diskem stínítka v černé barvě
Objev podobné jako Rabalux 74199 stolní LED lampa s klipem Marcin, černá
Generation Alpha - Mark McCrindle
Everything you need to know about how to best raise, educate and guide Generation Alpha (born 2010-24) - the most materially endowed and technologically literate generation ever - to help them live their best life.Renowned social demographer Mark McCrindle shares everything we need to know about Generation Alpha in this accessible, fascinating book for parents and educators on how the most globally connected generation ever (born 2010-2024) will grow up, how we should parent them, what we should teach them and what we need to be aware of to ensure that we get the best out of them.Discussing the impacts of the recent Coronavirus pandemic as an educational, world health and economic crisis with a unique set of problems presented to this first-ever remote-learning generation, Mark will help parents understand how complex the life experiences of today''s children truly are. From looking at digital anxieties around social media to the unprecedented rise of environmental and social consciousness at a young age, Mark McCrindle will help parents and teachers to create the best possible framework for a child''s development right the way through into adulthood.
Objev podobné jako Generation Alpha - Mark McCrindle
Solight bezdrátový zvonek, do zásuvky, 180m, černý, learning code 1L76B
Bezdrátový zvonek Solight se snadno instaluje do zásuvky s dosahem signálu až 180 metrů. Nabízí 36 melodií, 4 úrovně hlasitosti a světelnou LED signalizaci. Funkce Learning code umožňuje spárování více zařízení a tlačítko je vodotěsné s ochranou IP44.
- Snadná instalace bez vrtání – přijímač do zásuvky, tlačítko na dveře nebo zeď.
- Výběr z 36 melodií a 4 úrovní hlasitosti (25–90 dB) s velkým osvětleným LED rámečkem.
- Funkce Learning code umožňuje spárování až 8 tlačítek k jednomu zvonku nebo 15 zvonků k jednomu tlačítku.
- Vodotěsné tlačítko (IP44) s krytem na jmenovku a dosahem až 180 m na otevřeném prostranství.
Objev podobné jako Solight bezdrátový zvonek, do zásuvky, 180m, černý, learning code 1L76B
The Object-Oriented Approach to Problem Solving and Machine Learning with Python - Maha Hadid, Sujith Samuel Mathew, Shahbano Farooq, Mohammad Amin K
This book is a comprehensive guide suitable for beginners and experienced developers alike. It teaches readers how to master object-oriented programming (OOP) with Python and use it in real-world applications.Start by solidifying your OOP foundation with clear explanations of core concepts like use cases and class diagrams. This book goes beyond theory as you get practical examples with well-documented source code available in the book and on GitHub.This book doesn''t stop at the basics. Explore how OOP empowers fields like data persistence, graphical user interfaces (GUIs), machine learning, and data science, including social media analysis. Learn about machine learning algorithms for classification, regression, and unsupervised learning, putting you at the forefront of AI innovation.Each chapter is designed for hands-on learning. You''ll solidify your understanding with case studies, exercises, and projects that apply your newfound knowledge to real-world scenarios. The progressive structure ensures mastery, with each chapter building on the previous one, reinforced by exercises and projects.Numerous code examples and access to the source code enhance your learning experience. This book is your one-stop shop for mastering OOP with Python and venturing into the exciting world of machine learning and data science.
Objev podobné jako The Object-Oriented Approach to Problem Solving and Machine Learning with Python - Maha Hadid, Sujith Samuel Mathew, Shahbano Farooq, Mohammad Amin K
Ponořme se do Python(u) 3 - Mark Pilgrim
Mark Pilgrim se nesmazatelně zapsal do povědomí pythonovské komunity už svojí knihou "Dive Into Python", ve které originálním a nezapomenutelným způsobem přiblížil čtenářům osobitý styl programování v tomto jazyce, aby se o několik let později připomenul ještě výrazněji s knihou "Dive Into Python 3", která je stejně originálním a zábavným způsobem věnována jeho nejnovější verzi.
Objev podobné jako Ponořme se do Python(u) 3 - Mark Pilgrim
Introduction to Machine Learning with Python - Andreas C. Mueller
Machine learning has become an integral part of many commercial applications and research projects, but this field is not exclusive to large companies with extensive research teams. If you use Python, even as a beginner, this book will teach you practical ways to build your own machine learning solutions.
Objev podobné jako Introduction to Machine Learning with Python - Andreas C. Mueller
Deep learning v jazyku Python (978-80-247-3100-1)
Elektronická kniha - autor François Chollet, 328 stran, česky Strojové učení zaznamenalo v posledních letech pozoruhodný pokrok od téměř nepoužitelného rozpoznávání řeči a obrazu k nadlidské přesnosti. Od programů, které nedokázaly porazit jen trochu zkušenějšího hráče go, jsme dospěli k přemožiteli mistra světa. Za pokrokem ve vývoji učících se programů stojí tzv. hluboké učení (deep learning) – kombinace technických vylepšení, osvědčených postupů a teorií, které umožnily vyvinout množství dříve nerealizovatelných inteligentních aplikací. S jejich pomocí pak můžeme například analyzovat text či mluvené slovo, překládat z jazyka do jazyka, rozpoznávat osoby na sociálních sítích nebo používat samořídící automobily. Tato kniha naučí čtenáře navrhovat hluboce se učící systémy v jazyku Python, který je v současnosti nejpoužívanějším programovacím jazykem pro vývoj těchto systémů, a knihovny Keras a TensorFlow používané většinou vítězů soutěží systémů pro...
Objev podobné jako Deep learning v jazyku Python (978-80-247-3100-1)
Deep learning v jazyku Python - 2., rozšířené vydání - François Chollet
Strojové učení zaznamenalo v posledních letech pozoruhodný pokrok a dospělo od téměř nepoužitelného rozpoznávání řeči a obrazu k téměř nadlidské přesnosti, od programů, které nedokázaly porazit jen trochu zkušenějšího hráče šachu, až k přemožitelům mistrů světa.Za pokrokem ve vývoji učících se programů stojí tzv. hluboké učení (deep learning), což je kombinace teorií a osvědčených technických postupů, které umožnily vyvinout řadu dříve nerealizovatelných aplikací. S jejich pomocí můžeme analyzovat a syntetizovat text i mluvené slovo, překládat z jazyka do jazyka, rozpoznávat osoby nebo ovládat samořídící automobily.Kniha naučí čtenáře, jehož znalosti jazyka Python jsou na střední úrovni, navrhovat v tomto jazyku hluboce se učící systémy s pomocí knihoven Keras a TensorFlow, které používá většina autorů vítězných systémů ze soutěží v hlubokém učení. Výklad je založený na intuitivních vysvětleních a praktických příkladech. Náročné koncepty si procvičíte na aplikacích v oblasti počítačového vidění, zpracování přirozeného jazyka a generativních modelů. Získáte tak znalosti a praktické dovednosti, které vám umožní aplikovat hluboké učení ve vlastních projektech.Autorem knihy je François Chollet, tvůrce knihovny Keras a výzkumník v oblasti umělé inteligence společnosti Google. Výklad základních principů hlubokého učení i pokročilých dovedností Tvorba systému hlubokého učení pro počítačové vidění, časové řady, text i generování vlastních výtvorů (například obrázků) Způsob ... Unknown localization key: "more"
Objev podobné jako Deep learning v jazyku Python - 2., rozšířené vydání - François Chollet
Learning - Mark Haselgrove
What is learning? How does it take place? What happens when it goes wrong? The topic of learning has been central to the development of the science of psychology since its inception. Without learning there can be no memory, no language and no intelligence. Indeed it is rather difficult to imagine a part of psychology, or neuroscience, that learning does not touch upon. In this Very Short Introduction Mark Haselgrove describes learning from the perspective of associative theories of classical and instrumental conditioning, and considers why these are the dominant, and best described analyses of learning in contemporary psychology. Tracing the origins of these theories, he discusses the techniques used to study learning in both animals and humans, and considers the importance of learning for animal behaviour and survival.ABOUT THE SERIES: The Very Short Introductions series from Oxford University Press contains hundreds of titles in almost every subject area. These pocket-sized books are the perfect way to get ahead in a new subject quickly. Our expert authors combine facts, analysis, perspective, new ideas, and enthusiasm to make interesting and challenging topics highly readable.
Objev podobné jako Learning - Mark Haselgrove
Průmyslová čepel dvoubřitá, Lutz, hranatá - 0402.0400 (0402.0400)
Čepel Rozměry: 43×22×0,40 mm Materiál : uhlíková ocel Bez povlaku Dlátové ostří Dvoubřitá čepel Lutz 0402.0400 představuje nepostradatelný doplněk do dílenských nožů. Vyrobená je z velmi kvalitní uhlíkové oceli a nabízí dlátové ostří. Balení obsahuje 100 čepelí Lutz 0402.0400, které jsou uložené v bezpečnostním boxu. Klíčové vlastnosti průmyslové 2břité hranaté čepele Lutz 0402.0400Čepel určená do dílenských nožůVyrobená z velmi kvalitní uhlíkové oceliČepel Lutz nabízí dlátové ostříBalení obsahuje 100 čepelí Rozměry:43 × 22 × 0,4 mm
Objev podobné jako Průmyslová čepel dvoubřitá, Lutz, hranatá - 0402.0400 (0402.0400)
Průmyslová čepel dvoubřitá, Lutz - 0410.0400 (0410.0400)
Čepel Rozměry: 43×22×0,40 mm Materiál : uhlíková ocel Bez povlaku Typ broušení : Dvojbřité, oboustranné Dvoubřitá čepel Lutz 0410.0400 představuje nepostradatelný doplněk do dílenských nožů. Vyrobená je z velmi kvalitní uhlíkové oceli a nabízí 2břité broušení. Balení obsahuje 100 čepelí Lutz 0410.0400, které jsou uložené v bezpečnostním boxu. Klíčové vlastnosti průmyslové 2břité čepele Lutz 0410.0400Čepel určená do dílenských nožůVyrobená z velmi kvalitní uhlíkové oceliČepel Lutz nabízí 2břité broušeníBalení obsahuje 100 čepelí Rozměry:43 × 22 × 0,4 mm
Objev podobné jako Průmyslová čepel dvoubřitá, Lutz - 0410.0400 (0410.0400)
Průmyslová čepel dvoubřitá, Lutz - 0710.0400 (0710.0400)
Čepel Rozměry: 57×19×0,40 mm Materiál : uhlíková ocel Bez povlaku Typ broušení : Dvojbřité, oboustranné Dvoubřitá čepel Lutz 0710.0400 představuje nepostradatelný doplněk do dílenských nožů. Vyrobená je z velmi kvalitní uhlíkové oceli a nabízí 2břité broušení. Balení obsahuje 100 čepelí Lutz 0710.0400, které jsou uložené v bezpečnostním boxu. Klíčové vlastnosti průmyslové 2břité čepele Lutz 0710.0400Čepel určená do dílenských nožůVyrobená z velmi kvalitní uhlíkové oceliČepel Lutz nabízí 2břité broušeníBalení obsahuje 100 čepelí Rozměry:57 × 19 × 0,4 mm
Objev podobné jako Průmyslová čepel dvoubřitá, Lutz - 0710.0400 (0710.0400)
Průmyslová čepel, Lutz - 4283.0680/TiN (4283.0680/TiN)
Čepel Rozměry: 19,6×11,8×0,68 mm Materiál : uhlíková ocel Titanový povlak Hluboce broušené ostří Čepel Lutz 4283.0680/TiN představuje nepostradatelný doplněk do dílenských nožů. Vyrobená je z velmi kvalitní uhlíkové oceli a disponuje titanovým povlakem. Nabízí hluboce broušené ostří. Čepel Lutz 4283.0680/TiN najde své uplatnění při celé řadě činností. Klíčové vlastnosti průmyslové čepele Lutz 4283.0680/TiNČepel určená do dílenských nožůVyrobená z velmi kvalitní uhlíkové oceliDisponuje titanovým povlakemČepel Lutz nabízí hluboce broušené ostří Rozměry:19,6 × 11,8 × 0,68 mm
Objev podobné jako Průmyslová čepel, Lutz - 4283.0680/TiN (4283.0680/TiN)
Průmyslová čepel dvoubřitá, Lutz - 0410.0130/TiN (0410.0130/TiN)
Čepel Rozměry: 43×22×0,13 mm Materiál : uhlíková ocel Titanový povlak Typ broušení : Dvojbřité, oboustranné Dvoubřitá čepel Lutz 0410.0130/TiN představuje nepostradatelný doplněk do dílenských nožů. Vyrobená je z velmi kvalitní uhlíkové oceli a disponuje titanovým povlakem. Nabízí 2břité broušení. Balení obsahuje 250 čepelí Lutz 0410.0130/TiN, které jsou uložené v bezpečnostním boxu. Klíčové vlastnosti průmyslové 2břité čepele Lutz 0410.0130/TiNČepel určená do dílenských nožůVyrobená z velmi kvalitní uhlíkové oceliDisponuje titanovým povlakemČepel Lutz nabízí 2břité broušeníBalení obsahuje 250 čepelí Rozměry:43 × 22 × 0,13 mm
Objev podobné jako Průmyslová čepel dvoubřitá, Lutz - 0410.0130/TiN (0410.0130/TiN)
Průmyslová čepel jednobřitá, INJECTOR, Lutz - 6030.0254/SS (6030.0254/SS)
Čepel Rozměry: 38×8×0,25 mm Materiál : nerezová ocel Bez povlaku Typ broušení : Jednobřité, oboustranné Jednobřitá čepel Lutz INJECTOR 6030.0254/SS představuje nepostradatelný doplněk do dílenských nožů. Vyrobená je z velmi kvalitní nerezové oceli a nabízí 1břité broušení. Balení obsahuje 100 čepelí Lutz 6030.0254/SS, které jsou uložené v bezpečnostním boxu. Klíčové vlastnosti průmyslové 1břité čepele Lutz INJECTOR 6030.0254/SSČepel určená do dílenských nožůVyrobená z velmi kvalitní nerezové oceliČepel Lutz nabízí 1břité broušeníBalení obsahuje 100 čepelí Rozměry:38 × 8 × 0,25 mm
Objev podobné jako Průmyslová čepel jednobřitá, INJECTOR, Lutz - 6030.0254/SS (6030.0254/SS)
Průmyslová čepel dvoubřitá, Lutz - 0410.0300/TIN (0410.0300/TIN)
Čepel Rozměry: 43×22×0,30 mm Materiál : uhlíková ocel Titanový povlak Typ broušení : Dvojbřité, oboustranné Dvoubřitá čepel Lutz 0410.0300/TIN představuje nepostradatelný doplněk do dílenských nožů. Vyrobená je z velmi kvalitní uhlíkové oceli a disponuje titanovým povlakem. Nabízí 2břité broušení. Balení obsahuje 100 čepelí Lutz 0410.0300/TIN, které jsou uložené v bezpečnostním boxu. Klíčové vlastnosti průmyslové 2břité čepele Lutz 0410.0300/TINČepel určená do dílenských nožůVyrobená z velmi kvalitní uhlíkové oceliDisponuje titanovým povlakemČepel Lutz nabízí 2břité broušeníBalení obsahuje 100 čepelí Rozměry:43 × 22 × 0,13 mm
Objev podobné jako Průmyslová čepel dvoubřitá, Lutz - 0410.0300/TIN (0410.0300/TIN)
Průmyslová čepel dvoubřitá, Lutz - 0410.0300 (0410.0300)
Čepel Rozměry: 43×22×0,30 mm Materiál : uhlíková ocel Bez povlaku Typ broušení : Dvojbřité, oboustranné Dvoubřitá čepel Lutz 0410.0300 představuje nepostradatelný doplněk do dílenských nožů. Vyrobená je z velmi kvalitní uhlíkové oceli a nabízí 2břité broušení. Balení obsahuje 100 čepelí Lutz 0410.0300, které jsou uložené v bezpečnostním boxu. Klíčové vlastnosti průmyslové 2břité čepele Lutz 0410.0300Čepel určená do dílenských nožůVyrobená z velmi kvalitní uhlíkové oceliČepel Lutz nabízí 2břité broušeníBalení obsahuje 100 čepelí Rozměry:43 × 22 × 0,3 mm
Objev podobné jako Průmyslová čepel dvoubřitá, Lutz - 0410.0300 (0410.0300)
Průmyslová čepel dvoubřitá, Lutz - 0410.0680 (0410.0680)
Čepel Rozměry: 43×22×0,68 mm Materiál : uhlíková ocel Bez povlaku Typ broušení : Dvojbřité, oboustranné Dvoubřitá čepel Lutz 0410.0680 představuje nepostradatelný doplněk do dílenských nožů. Vyrobená je z velmi kvalitní uhlíkové oceli a nabízí 2břité broušení. Balení obsahuje 50 čepelí Lutz 0410.0680, které jsou uložené v bezpečnostním boxu. Klíčové vlastnosti průmyslové 2břité čepele Lutz 0410.0680Čepel určená do dílenských nožůVyrobená z velmi kvalitní uhlíkové oceliČepel Lutz nabízí 2břité broušeníBalení obsahuje 50 čepelí Rozměry:43 × 22 × 0,68 mm
Objev podobné jako Průmyslová čepel dvoubřitá, Lutz - 0410.0680 (0410.0680)
The Quick Python Book, Fourth Edition - Naomi Ceder
A fast-paced introduction to Python for intermediate developers–now with coverage of generative AI!For over 25 years, The Quick Python Book has been one of the best Python books money can buy. It concisely covers programming basics, while introducing Python''s comprehensive standard library and unique features in depth and detail. In this fourth edition, you''ll find new coverage of AI coding tools like Copilot and Google''s Colaboratory (Colab), and develop a mindset that can make the most of AI. The Quick Python Book, Fourth Edition includes: Python syntax, data structures, and best practices Python as an object oriented language Common Python libraries Basic data handling with Python Using AI code generation tools with Python Whether you''re new to Python or looking to advance your basic skills, The Quick Python Book, Fourth Edition will get you writing effective Python code fast. Python authority and former Chair of the Python Software Foundation Board or Directors Naomi Ceder has returned to author this extensively revised fourth edition. With the personal touch of a skilled teacher, Naomi beautifully balances details of the language with the insights and advice you need to handle any task. About the technology: System automation. High-performance web apps. Cloud and back-end ... Unknown localization key: "more"
Objev podobné jako The Quick Python Book, Fourth Edition - Naomi Ceder
Data Analysis with Python - Rituraj Dixit
An Absolute Beginner''s Guide to Learning Data Analysis Using Python, a Demanding Skill for TodayKey FeaturesHands-on learning experience of Python''s fundamentals.Covers various examples of how to code end-to-end data analysis with easy illustrations.An excellent starting point to begin your data analysis journey with Python programming.DescriptionIn an effort to provide content for beginners, the book Data Analysis with Python provides a concrete first step in learning data analysis. Written by a data professional with decades of experience, this book provides a solid foundation in data analysis and numerous data science processes. In doing so, readers become familiar with common Python libraries and straightforward scripting techniques.Python and many of its well-known data analysis libraries, such as Pandas, NumPy, and Matplotlib, are utilized throughout this book to carry out various operations typical of data analysis projects.Following an introduction to Python programming fundamentals, the book combines well-known numerical calculation and statistical libraries to demonstrate the fundamentals of programming, accompanied by many practical examples. This book provides a solid groundwork for data analysis by teaching Python programming as well as Python''s built-in data analysis capabilities.What you will learnLearn the fundamentals of core Python programming for data analysis.Master Python''s most demanding data analysis and visualization libraries, ... Unknown localization key: "more"
Objev podobné jako Data Analysis with Python - Rituraj Dixit
Learning to Program in Python - PM Heathcote
This book is a straightforward guide to the Python programming language and programming techniques. It covers all of the practical programming skills that may be required up to GCSE level. It is suitable for both experienced programmers, students or individuals with very little or no programming experience in other languages.
Objev podobné jako Learning to Program in Python - PM Heathcote
Python Workout - Reuven Lerner
Python Workout presents 50 exercises designed to deepen the reader’s skill with Python. Readers will not only tackle exercises using built-in data structures, but also more advanced techniques, such as functional programming, object-oriented programming, iterators, and generators. With each engaging challenge, readers will practice a new skill and learn how to apply it to everyday coding tasks. Key Features 50 hands-on exercises and solutions Basic Python sequence types Python dictionaries and sets Functional programming in Python Creating your own classes Working with Python objects Generator functions Intended for readers with basic Python skills. About the technology Python is a versatile, elegant, general purpose programming language. Essential for data analysis, web development, artificial intelligence, games, desktop apps, and more, Python skills are a hot commodity. Reuven M. Lerner, an independent consultant for more than two decades, teaches Python, data science, and Git to companies around the world. His Better developers newsletter and blog are read by thousands of Python developers each week. Reuven has written a monthly column, “At the Forge,†for Linux Journal since 1996 and is a panellist on the weekly Freelancers Show podcast. Reuven lives with his wife and three children in Modi’in, Israel, and can be reached ... Unknown localization key: "more"
Objev podobné jako Python Workout - Reuven Lerner
Python in Excel Step-by-Step - David Langer
An intuitive guide for professionals wanting to prepare for the future of Microsoft Excel by building Python in Excel skills and unleashing the power of their data. A hands-on guide to the foundational Python in Excel skills you’ll need to understand and use this powerful analytics tool, Python in Excel Step-by-Step is for current Excel users interested in expanding their data analysis skillset with Python. Analytics educator and Microsoft Excel MVP David Langer demonstrates how to use Python in Excel, to unlock new analytics capabilities in Excel, and build your foundation for the future of Excel: do-it-yourself (DIY) data science. The book leverages your existing Excel knowledge to learn the Python foundation you can apply right away. This is the same approach David has used to successfully teach more than 1,000 professionals Python – even if you’ve never written code before. David also includes: Targeted coverage of the Python fundamentals required for analytics – learn just what you need fastHow to use the powerful pandas and plotnine libraries to facilitate data manipulation and visualization using Python in ExcelA DIY data science roadmap for you to build the skills you need to unleash the power of your data to have more ... Unknown localization key: "more"
Objev podobné jako Python in Excel Step-by-Step - David Langer
Learn Enough Python to Be Dangerous - Michael Hartl
All You Need to Know, and Nothing You Don''t, to Solve Real Problems with Python Python is one of the most popular programming languages in the world, used for everything from shell scripts to web development to data science. As a result, Python is a great language to learn, but you don''t need to learn "everything" to get started, just how to use it efficiently to solve real problems. In Learn Enough Python to Be Dangerous, renowned instructor Michael Hartl teaches the specific concepts, skills, and approaches you need to be professionally productive. Even if you''ve never programmed before, Hartl helps you quickly build technical sophistication and master the lore you need to succeed. Hartl introduces Python both as a general-purpose language and as a specialist tool for web development and data science, presenting focused examples and exercises that help you internalize what matters, without wasting time on details pros don''t care about. Soon, it''ll be like you were born knowing this stuff--and you''ll be suddenly, seriously dangerous. Learn enough about . . . Applying core Python concepts with the interactive interpreter and command line Writing object-oriented code with Python''s native objects Developing and publishing self-contained Python packages Using elegant, ... Unknown localization key: "more"
Objev podobné jako Learn Enough Python to Be Dangerous - Michael Hartl
Effective Python - Brett Slatkin
Master the art of Python programming with 125 actionable best practices to write more efficient, readable, and maintainable code. Â Python is a versatile and powerful language, but leveraging its full potential requires more than just knowing the syntax. Effective Python: 125 Specific Ways to Write Better Python, 3rd Edition is your comprehensive guide to mastering Python's unique strengths and avoiding its hidden pitfalls. This updated edition builds on the acclaimed second edition, expanding from 90 to 125 best practices that are essential for writing high-quality Python code. Â Drawing on years of experience at Google, Brett Slatkin offers clear, concise, and practical advice for both new and experienced Python developers. Each item in the book provides insight into the "Pythonic" way of programming, helping you understand how to write code that is not only effective but also elegant and maintainable. Whether you're building web applications, analyzing data, writing automation scripts, or training AI models, this book will equip you with the skills to make a significant impact using Python. Â Key Features of the 3rd Edition: Expanded Content: Now with 125 actionable guidelines, including 35 entirely new items. Updated Best Practices: Reflects the latest features in Python releases up ... Unknown localization key: "more"
Objev podobné jako Effective Python - Brett Slatkin
Learn AI-Assisted Python Programming, Second Edition - Daniel Zingaro, Leo Porter
See how an AI assistant can bring your ideas to life immediately! Once, to be a programmer you had to write every line of code yourself. Now tools like GitHub Copilot can instantly generate working programs based on your description in plain English. An instant bestseller, Learn AI-Assisted Python Programming has taught thousands of aspiring programmers how to write Python the easy way—with the help of AI. It''s perfect for beginners, or anyone who''s struggled with the steep learning curve of traditional programming. In Learn AI-Assisted Python Programming, Second Edition you''ll learn how to: Write fun and useful Python applications—no programming experience required! Use the GitHub Copilot AI coding assistant to create Python programs Write prompts that tell Copilot exactly what to do Read Python code and understand what it does Test your programs to make sure they work the way you want them to Fix code with prompt engineering or human tweaks Apply Python creatively to help out on the job AI moves fast, and so the new edition of Learn AI-Assisted Python Programming, Second Edition is fully updated to take advantage of the latest models and AI coding tools. Written by two esteemed computer science university professors, it ... Unknown localization key: "more"
Objev podobné jako Learn AI-Assisted Python Programming, Second Edition - Daniel Zingaro, Leo Porter
Foundations of Python Network Programming - Brandon Rhodes, Tim Bower, John Goerzen
This second edition of Foundations of Python Network Programming targets Python 2.5 through Python 2.7, the most popular production versions of the language. Python has made great strides since Apress released the first edition of this book back in the days of Python 2.3. The advances required new chapters to be written from the ground up, and others to be extensively revised. You will learn fundamentals like IP, TCP, DNS and SSL by using working Python programs; you will also be able to familiarize yourself with infrastructure components like memcached and message queues. You can also delve into network server designs, and compare threaded approaches with asynchronous event-based solutions. But the biggest change is this edition''s expanded treatment of the web. The HTTP protocol is covered in extensive detail, with each feature accompanied by sample Python code. You can use your HTTP protocol expertise by studying an entire chapter on screen scraping and you can then test lxml and BeautifulSoup against a real-world web site. The chapter on web application programming now covers both the WSGI standard for component interoperability, as well as modern web frameworks like Django. Finally, all of the old favorites from the first edition are back: ... Unknown localization key: "more"
Objev podobné jako Foundations of Python Network Programming - Brandon Rhodes, Tim Bower, John Goerzen
Beginning Programming with Python For Dummies - John Paul Mueller
Create simple, easy programs in the popular Python language Beginning Programming with Python For Dummies is the trusted way to learn the foundations of programming using the Python programming language. Python is one of the top-ranked languages, and there’s no better way to get started in computer programming than this friendly guide. You’ll learn the basics of coding and the process of creating simple, fun programs right away. This updated edition features new chapters, including coverage of Google Colab, plus expanded information on functions and objects, and new examples and graphics that are relevant to today’s beginning coders. Dummies helps you discover the wealth of things you can achieve with Python. Employ an online coding environment to avoid installation woes and code anywhere, any time Learn the basics of programming using the popular Python language Create easy, fun projects to show off your new coding chops Fix errors in your code and use Python with external data sets Beginning Programming with Python For Dummies will get new programmers started—the easy way.Â
Objev podobné jako Beginning Programming with Python For Dummies - John Paul Mueller
Python in easy steps - Mike McGrath
Python in easy steps, 3rd edition teaches you to program in the powerful Python programming language – the world’s favorite coding language. It gives complete examples that illustrate each aspect with colorized source code. Python in easy steps, 3rd edition begins by explaining how to install the free Python interpreter so that you can quickly begin to create your own executable programs by copying the book's examples. It demonstrates all the Python language basics before moving on to provide examples of Object-Oriented Programming (OOP). A new chapter for this edition then demonstrates how to process web form data with the Flask web framework for Python. The book concludes by demonstrating how you can use your acquired knowledge to create and deploy graphical windowed applications. Python in easy steps, 3rd edition has an easy-to-follow style, and makes no assumption you have previous knowledge of any programming language, so it's ideal for: The newcomer to computer programming. Programmers moving from another programming language. Students studying Python programming at school or college. Those seeking a career in computing who need a fundamental understanding of computer programming.
Objev podobné jako Python in easy steps - Mike McGrath
Fast Python for Data Science - Tiago Antao
Fast Python for Data Science is a hands-on guide to writing Python code that can process more data, faster, and with less resources. It takes a holistic approach to Python performance, showing you how your code, libraries, and computing architecture interact and can be optimized together. Written for experienced practitioners, Fast Python for Data Science dives right into practical solutions for improving computation and storage efficiency. You''ll experiment with fun and interesting examples such as rewriting games in lower-level Cython and implementing a MapReduce framework from scratch. Finally, you''ll go deep into Python GPU computing and learn how modern hardware has rehabilitated some former antipatterns and made counterintuitive ideas the most efficient way of working. About the technologyFast, accurate systems are vital for handling the huge datasets and complex analytical algorithms that are common in modern data science. Python programmers need to boost performance by writing faster pure-Python programs, optimizing the use of libraries, and utilizing modern multi-processor hardware; Fast Python for Data Science shows you how.
Objev podobné jako Fast Python for Data Science - Tiago Antao
Python for Scientific Computing and Artificial Intelligence - Stephen Lynch
Python for Scientific Computing and Artificial Intelligence is split into 3 parts: in Section 1, the reader is introduced to the Python programming language and shown how Python can aid in the understanding of advanced High School Mathematics. In Section 2, the reader is shown how Python can be used to solve real-world problems from a broad range of scientific disciplines. Finally, in Section 3, the reader is introduced to neural networks and shown how TensorFlow (written in Python) can be used to solve a large array of problems in Artificial Intelligence (AI).This book was developed from a series of national and international workshops that the author has been delivering for over twenty years. The book is beginner friendly and has a strong practical emphasis on programming and computational modelling.Features:No prior experience of programming is requiredOnline GitHub repository available with codes for readers to practiceCovers applications and examples from biology, chemistry, computer science, data science, electrical and mechanical engineering, economics, mathematics, physics, statistics and binary oscillator computingFull solutions to exercises are available as Jupyter notebooks on the WebSupport MaterialGitHub Repository of Python Files and Notebooks: https://github.com/proflynch/CRC-Press/Solutions to All Exercises:Section 1: An Introduction to Python: https://drstephenlynch.github.io/webpages/Solutions_Section_1.htmlSection 2: Python for Scientific Computing: ... Unknown localization key: "more"
Objev podobné jako Python for Scientific Computing and Artificial Intelligence - Stephen Lynch
What Every Engineer Should Know About Python - Raymond J. Madachy
Engineers of all disciplines can benefit from knowledge of Python. This powerful programming language can help engineers better leverage their skill set and do more sophisticated work in a shorter time, including engineering analysis, machine learning, system design, integration and testing, and project management. What Every Engineer Should Know About Python provides engineering students and practitioners with a simple and practical introduction to Python for technical programming and other empowering uses for engineering and scientific work. It teaches the core features of Python relevant for engineers without computer science jargon, with the immediate goal of writing useful programs.• Features examples tied to real-world engineering and scientific scenarios that are easily adapted and incorporated• Covers how to best leverage the plethora of open source Python packages as opposed developing new software from scratch• Details the why, when, and how to incorporate Python into engineering designs and systems• Describes tool environments and software process best practices for rapid development• Demonstrates other uses of Python besides numerical computing, such as how to incorporate into engineering designs and systems, development tools and processes, and other ancillary uses to improve personal and organizational productivity through workflow automation• Points to more extensive material online for readers ... Unknown localization key: "more"
Objev podobné jako What Every Engineer Should Know About Python - Raymond J. Madachy
Python All-in-One For Dummies - Alan Simpson, John C. Shovic
Everything you need to know to get into Python coding, with 7 books in one Python All-in-One For Dummies is your one-stop source for answers to all your Python questions. From creating apps to building complex web sites to sorting big data, Python provides a way to get the work done. This book is great as a starting point for those new to coding, and it also makes a perfect reference for experienced coders looking for more than the basics. Apply your Python skills to data analysis, learn to write AI-assisted code using GitHub CoPilot, and discover many more exciting uses for this top programming language. Get started coding in Python—even if you’re new to computer programmingReference all the essentials and the latest updates, so your code is air-tightLearn how Python can be a solution for large-scale projects and big datasetsAccelerate your career path with this comprehensive guide to learning PythonExperienced and would-be coders alike will love this easy-to-follow guide to learning and applying Python.
Objev podobné jako Python All-in-One For Dummies - Alan Simpson, John C. Shovic
Python Programming Guide for GCSE Computer Science with Online Edition, Python Files & Videos - CGP Books
This brilliant CGP book is the perfect no-nonsense guide for anyone who wants to learn Python. It contains clear notes on all the key programming skills - ideal for Python beginners, GCSE Computer Science students, and as an introduction to Python at A-Level. There are plenty of useful practice questions, fully-worked examples and coding challenges throughout, with full answers included at the back of the book. We've even added over 250 downloadable files covering different areas of Python - they're just the ticket for anyone looking for practical, on-screen practice. If that wasn't enough, there are video solutions to walk you through some of the coding challenges and we've also included a free Online Edition of the entire book - just use the unique code printed inside the cover to gain access. Don't miss our matching Python Programming Cards (9781837741380) to become a real Python pro!
Objev podobné jako Python Programming Guide for GCSE Computer Science with Online Edition, Python Files & Videos - CGP Books
Starting Out with Python, Global Edition - Tony Gaddis
For courses in Python programming. A clear and student-friendly introduction to Python Starting Out with Python® introduces programming concepts and problem-solving skills using Tony Gaddis'' accessible approach. Control structures are discussed before classes to familiarize new programmers with the fundamentals. Every chapter includes easy-to-read code listings, practical examples, and application exercises to help students gain confidence in their skills and learn to recognize the logic of developing high-quality programs. The 6th Edition is thoroughly updated with new language features and functionality for versions of Python up through Python 3.9. Hallmark features of this title Student-friendly presentation Written for novice programmers, Gaddis uses easy-to-understand language to introduce concepts. Control structures are explained, then classes and GUI applications. Optional turtle graphics sections are extremely effective at teaching the procedural steps of programming to beginners. Student-focused features Hundreds of example programs explore specific topics or more involved problem solving. Students can run the programs themselves using the source code. In the Spotlight case studies analyze how to solve a programming problem in step-by-step detail. Checkpoints and review questions let students test their understanding at regular intervals. Programming exercises offer hands-on practice opportunities at the end of each chapter. New and updated features of ... Unknown localization key: "more"
Objev podobné jako Starting Out with Python, Global Edition - Tony Gaddis
Python Automation For Dummies - Alan Simpson
Streamline Your Workflow and Boost Productivity with Python Automation In today's workplaces, there's a high demand for know-how on the Python programming language, especially for writing time-saving scripts that can simplify routine work tasks. Python Automation For Dummies delivers, with simple explanations of how you can use Python to automatically wrangle data files, manage media files, create shortcuts, find and organize web data, and even analyze social media for trends. With this easy-to-follow Dummies guide, you can upskill, expand your productivity, and speed up the process of generating data-driven insights. You'll even learn to enhance your Python automations with AI, for workflows that are faster and smarter. Review the basics of Python coding and follow steps for automating all sorts of tasksManage large file sets, organize and analyze data, and speed up research processesAutomate scheduling and other time-consuming tasks—and optimize work with AIFree up time and resources by automating routine work, so you can foucs on more important issues This is a great Dummies resource for Python developers interested in applying the popular coding language to make workflows more efficient.
Objev podobné jako Python Automation For Dummies - Alan Simpson
Classic Computer Science Problems in Python - David Kopec
Classic Computer Science Problems in Python presents dozens of coding challenges, ranging from simple tasks like finding items in a list with a binary sort algorithm to clustering data using k-means. Classic Computer Science Problems in Python deepens your Python language skills by challenging you with time-tested scenarios, exercises, and algorithms. As you work through examples in search, clustering, graphs, and more, you''ll remember important things you''ve forgotten and discover classic solutions to your "new" problems Key Features · Breadth-first and depth-first search algorithms · Constraints satisfaction problems · Common techniques for graphs · Adversarial Search · Neural networks and genetic algorithms · Written for data engineers and scientists with experience using Python. For readers comfortable with the basics of Python About the technology Python is used everywhere for web applications, data munging, and powerful machine learning applications. Even problems that seem new or unique stand on the shoulders of classic algorithms, coding techniques, and engineering principles. Master these core skills, and you’ll be ready to use Python for AI, data-centric programming, deep learning, and the other challenges you’ll face as you grow your skill as a programmer. David Kopec teaches at Champlain College in Burlington, VT and is the ... Unknown localization key: "more"
Objev podobné jako Classic Computer Science Problems in Python - David Kopec
Python Network Programming Cookbook - - Dr. M. O. Faruque Sarker, Pradeeban Kathiravelu
Discover practical solutions for a wide range of real-world network programming tasksAbout This Book• Solve real-world tasks in the area of network programming, system/networking administration, network monitoring, and more. • Familiarize yourself with the fundamentals and functionalities of SDN• Improve your skills to become the next-gen network engineer by learning the various facets of Python programmingWho This Book Is ForThis book is for network engineers, system/network administrators, network programmers, and even web application developers who want to solve everyday network-related problems. If you are a novice, you will develop an understanding of the concepts as you progress with this book. What You Will Learn• Develop TCP/IP networking client/server applications• Administer local machines' IPv4/IPv6 network interfaces• Write multi-purpose efficient web clients for HTTP and HTTPS protocols• Perform remote system administration tasks over Telnet and SSH connections• Interact with popular websites via web services such as XML-RPC, SOAP, and REST APIs• Monitor and analyze major common network security vulnerabilities• Develop Software-Defined Networks with Ryu, OpenDaylight, Floodlight, ONOS, and POX Controllers• Emulate simple and complex networks with Mininet and its extensions for network and systems emulations• Learn to configure and build network systems and Virtual Network Functions (VNF) in heterogeneous deployment environments• Explore ... Unknown localization key: "more"
Objev podobné jako Python Network Programming Cookbook - - Dr. M. O. Faruque Sarker, Pradeeban Kathiravelu
Python for Cybersecurity
Discover an up-to-date and authoritative exploration of Python cybersecurity strategies Python For Cybersecurity: Using Python for Cyber Offense and Defense delivers an intuitive and hands-on explanation of using Python for cybersecurity. It relies on the MITRE ATT&CK framework to structure its exploration of cyberattack techniques, attack defenses, and the key cybersecurity challenges facing network administrators and other stakeholders today. Offering downloadable sample code, the book is written to help you discover how to use Python in a wide variety of cybersecurity situations, including: Reconnaissance, resource development, initial access, and executionPersistence, privilege escalation, defense evasion, and credential accessDiscovery, lateral movement, collection, and command and controlExfiltration and impact Each chapter includes discussions of several techniques and sub-techniques that could be used to achieve an attacker's objectives in any of these use cases. The ideal resource for anyone with a professional or personal interest in cybersecurity, Python For Cybersecurity offers in-depth information about a wide variety of attacks and effective, Python-based defenses against them.
Objev podobné jako Python for Cybersecurity
Foundational Python for Data Science - Kennedy Behrman
Data science and machine learning—two of the world''s hottest fields—are attracting talent from a wide variety of technical, business, and liberal arts disciplines. Python, the world''s #1 programming language, is also the most popular language for data science and machine learning. This is the first guide specifically designed to help students with widely diverse backgrounds learn foundational Python so they can use it for data science and machine learning. This book is catered to introductory-level college courses on data science. Leading data science instructor and practitioner Kennedy Behrman first walks through the process of learning to code for the first time with Python and Jupyter notebook, then introduces key libraries every Python data science programmer needs to master. Once students have learned these foundations, Behrman introduces intermediate and applied Python techniques for real-world problem-solving. Throughout, Foundational Python for Data Science presents hands-on exercises, learning assessments, case studies, and more—all created with Colab (Jupyter compatible) notebooks, so students can execute all coding examples interactively without installing or configuring any software.
Objev podobné jako Foundational Python for Data Science - Kennedy Behrman
Python for Data Analysis 3e - Wes McKinney
Get the definitive handbook for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.10 and pandas 1.4, the third edition of this hands-on guide is packed with practical case studies that show you how to solve a broad set of data analysis problems effectively. You'll learn the latest versions of pandas, NumPy, and Jupyter in the process.Written by Wes McKinney, the creator of the Python pandas project, this book is a practical, modern introduction to data science tools in Python. It's ideal for analysts new to Python and for Python programmers new to data science and scientific computing. Data files and related material are available on GitHub.Use the Jupyter notebook and IPython shell for exploratory computingLearn basic and advanced features in NumPyGet started with data analysis tools in the pandas libraryUse flexible tools to load, clean, transform, merge, and reshape dataCreate informative visualizations with matplotlibApply the pandas groupby facility to slice, dice, and summarize datasetsAnalyze and manipulate regular and irregular time series dataLearn how to solve real-world data analysis problems with thorough, detailed examples
Objev podobné jako Python for Data Analysis 3e - Wes McKinney
Statistical Analysis with Python For Dummies - Joseph Schmuller
Wrangle stats as you learn how to graph, analyze, and interpret data with Python Statistical Analysis with Python For Dummies introduces you to the tool of choice for digging deep into data to inform business decisions. Even if you're new to coding, this book unlocks the magic of Python and shows you how to apply it to statistical analysis tasks. You'll learn to set up a coding environment and use Python's libraries and functions to mine data for correlations and test hypotheses. You'll also get a crash course in the concepts of probability, including graphing and explaining your results. Part coding book, part stats class, part business analyst guide, this book is ideal for anyone tasked with squeezing insight from data. Get clear explanations of the basics of statistics and data analysisLearn how to summarize and analyze data with Python, step by stepImprove business decisions with objective evidence and analysisExplore hypothesis testing, regression analysis, and prediction techniques This is the perfect introduction to Python for students, professionals, and the stat-curious.
Objev podobné jako Statistical Analysis with Python For Dummies - Joseph Schmuller