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Author: Florian Dedov Publisher: ISBN: Category : Languages : en Pages : 508
Book Description
Become A Python Expert From Scratch! Python's popularity is growing tremendously and it's becoming more and more relevant economically and technologically. The fields of appliaction of the language range from machine learning, over computer networking to business applications. In this 7 in 1 version you get a full collection of The Python Bible series. From the first volume on, you will be lead on a structured way to the mastery of Python. Besides the basics and the intermediate concepts, you will also learn how to apply it in areas like machine learning, financial analysis and neural networks. At the end you will additionally be introduced to one of the most interesting fields of computer science, which is computer vision After reading this collection, you will not only understand the programming language but you will also be able to work on projects in the stated fields. You will become a true Python expert! What You Will Learn: Beginner Level: - Basics of Programming with Python- Automation of Simple Processes- Programming of Modular Python Applications- Easy Transition to Other Languages (Java, C++ etc.) Intermediate Level: - Object-Oriented Programming- Network Programming- Penetration Testing with Python- Regular Expressions- Multithreading- XML Processing- Database Programming- Logging Data Science: - Analyzing and Processing Big Data- Statistical Calculations with Python- Visualization of Data- Working with NumPy, Matplotlib and Pandas Machine Learning: - Predicting Data with Machine Learning- Building Neural Networks with Tensorflow- Recognizing Handwritten Digits with Neural Networks- Applying Linear Models like Regression- K-Nearest-Neighbors Classification- K-Means Clustering- Support Vector Machines Finance: - Financial Analysis with Python- Analyzing and Graphing Stock Data- Plotting Trendlines- Predicting Share Prices with Machine Learning Neural Networks: - Generating Poetic d104s with Neural Networks- Predicting Sequential Data (Stocks, Weather etc.)- Processing Audio and Video Data- Recognizing Objects Like Horses, Cars and Trucks on Images- Understanding Recurrent Neural Networks- Understanding Convolutional Neural Networks Computer Vision: - Making unreadable texts readable again with thresholding- Extracting essential information out of images and videos- Edge detection- Template matching and feature matching- Movement detection in videos- Professional object recognition with OpenCV Start Your Journey And Become A Python Expert With The Python Bible!
Author: Florian Dedov Publisher: ISBN: Category : Languages : en Pages : 508
Book Description
Become A Python Expert From Scratch! Python's popularity is growing tremendously and it's becoming more and more relevant economically and technologically. The fields of appliaction of the language range from machine learning, over computer networking to business applications. In this 7 in 1 version you get a full collection of The Python Bible series. From the first volume on, you will be lead on a structured way to the mastery of Python. Besides the basics and the intermediate concepts, you will also learn how to apply it in areas like machine learning, financial analysis and neural networks. At the end you will additionally be introduced to one of the most interesting fields of computer science, which is computer vision After reading this collection, you will not only understand the programming language but you will also be able to work on projects in the stated fields. You will become a true Python expert! What You Will Learn: Beginner Level: - Basics of Programming with Python- Automation of Simple Processes- Programming of Modular Python Applications- Easy Transition to Other Languages (Java, C++ etc.) Intermediate Level: - Object-Oriented Programming- Network Programming- Penetration Testing with Python- Regular Expressions- Multithreading- XML Processing- Database Programming- Logging Data Science: - Analyzing and Processing Big Data- Statistical Calculations with Python- Visualization of Data- Working with NumPy, Matplotlib and Pandas Machine Learning: - Predicting Data with Machine Learning- Building Neural Networks with Tensorflow- Recognizing Handwritten Digits with Neural Networks- Applying Linear Models like Regression- K-Nearest-Neighbors Classification- K-Means Clustering- Support Vector Machines Finance: - Financial Analysis with Python- Analyzing and Graphing Stock Data- Plotting Trendlines- Predicting Share Prices with Machine Learning Neural Networks: - Generating Poetic d104s with Neural Networks- Predicting Sequential Data (Stocks, Weather etc.)- Processing Audio and Video Data- Recognizing Objects Like Horses, Cars and Trucks on Images- Understanding Recurrent Neural Networks- Understanding Convolutional Neural Networks Computer Vision: - Making unreadable texts readable again with thresholding- Extracting essential information out of images and videos- Edge detection- Template matching and feature matching- Movement detection in videos- Professional object recognition with OpenCV Start Your Journey And Become A Python Expert With The Python Bible!
Author: Florian Dedov Publisher: ISBN: 9781076241825 Category : Languages : en Pages : 64
Book Description
LEARN TO CODE PYTHON NOW!Python's popularity is growing tremendously and it's becoming more and more relevant economically and technologically. The fields of application of this language are numerous: - Machine Learning- Data Science- Game Development- Networking & Hacking- Animation- Web Applications- And many more...All of these fields are shaping our future! A lot of progress was already made and there is a lot more to come. If you want to be part of this development, Python is the programming language that you want to learn! It's very easy to learn and has a simple syntax. Nowadays, Python belongs to the most influential and most important languages in the IT world. And the tendency is rising!The Bible of PythonWhy should you spend huge amounts of money and time just to read these 400-500 page books? They are overpriced and very dry to read. Programming is something practical. Of course theory is important but it's possible to keep it simple and precise. This is exactly what you will find in this book! Important theory precisely explained and backed up with lots of practical code. At the same time, you can finish this book in a few days because we are not beating around the bush!In this short first volume of the Python Bible you will get to know the basic concepts and programming structures of the language. You don't need any previous knowledge. This book is for complete beginners. Everything gets explained from scratch. But still you can benefit from reading this book if you have already programmed in your life before.After reading this book and applying what you've been taught, you will be able to develop first simple applications. You will understand basic programming paradigms which will help you to learn not only Python but also other languages like Java or C++. In a nutshell: You will have an amazing basis for your future programming career.You'll have the following skills: - Understanding basic programming paradigms, concepts and structures- Solving simple to intermediate problems in the Python language- Automating simple processes- Easy learning of other programming languages like Java or C++- Development of modular Python applications- Solid basis for advanced programming topics (Machine Learning, Data Science, Finance...)Also, many more parts of this series will follow and you will have everything structured in the most effective way!Excel at your programming career with The Python Bible
Author: Maurice J. Thompson Publisher: Independently Published ISBN: 9781980953906 Category : Languages : en Pages : 375
Book Description
This Box Set Includes 3 Books: Python Programming For Beginners - Learn The Basics Of Python In 7 Days! Python Programming For Intermediates - Learn The Basics Of Python In 7 Days! Python Programming For Advanced - Learn The Basics Of Python In 7 Days! Python Programming For Beginners - Learn The Basics Of Python In 7 Days! Here's what you'll learn from this book:✓Introduction ✓Understanding Python: A Detailed Background ✓How Python Works ✓Python Glossary ✓How to Download and Install Python ✓Python Programming 101: Interacting With Python in Different Ways ✓How to Write Your First Python Program ✓Variables, Strings, Lists, Tuples, Dictionaries ✓About User-Defined Functions ✓How to Write User-Defined Functions in Python ✓About Coding Style ✓Practice Projects: The Python Projects for Your Practice Python Programming For Intermediates - Learn The Basics Of Python In 7 Days! Here's what you'll learn from this book:✓ Shallow copy and deep copy ✓ Objects and classes in Python-including python inheritance, multiple inheritances, and so on ✓ Recursion in Python ✓ Debugging and testing ✓ Fibonacci sequence (definition) and Memoization in Python in Python ✓ Arguments in Python ✓ Namespaces in Python and Python Modules ✓ Simple Python projects for Intermediates Python Programming For Advanced - Learn The Basics Of Python In 7 Days! Here's what you'll learn from this book:✓File management✓Python Iterator✓Python Generator✓Regular Expressions ✓Python Closure✓Python Property✓Python Assert, and✓Simple recap projects Start Coding Now!
Author: John M. Zelle Publisher: Franklin, Beedle & Associates, Inc. ISBN: 1887902996 Category : Computers Languages : en Pages : 533
Book Description
This book is suitable for use in a university-level first course in computing (CS1), as well as the increasingly popular course known as CS0. It is difficult for many students to master basic concepts in computer science and programming. A large portion of the confusion can be blamed on the complexity of the tools and materials that are traditionally used to teach CS1 and CS2. This textbook was written with a single overarching goal: to present the core concepts of computer science as simply as possible without being simplistic.
Author: Dave Brueck Publisher: Wiley ISBN: 9780764548079 Category : Computers Languages : en Pages : 0
Book Description
The Python 2.1 Bible provides the only complete Python language reference on the market and includes all the information and software that developers need to use Python as a rapid application development tool. The Python 2.1 Bible fills a critical void in the Python reference market. Although it includes a complete Python language reference section, it is still geared towards those of you who already have some programming experience. This book explains each piece of technology in depth and shows through clear examples why each feature is useful. This is the manual you've been waiting for -- the one that covers all major Python components without glossing over how the various pieces fit together.
Author: Florian Dedov Publisher: ISBN: Category : Languages : en Pages : 68
Book Description
Impressive Computer Vision with Python! The Computer Vision field is one of the most interesting and exciting subjects of computer science. This field focuses on how computers perceive and process image and video data. The technologies of this field are essential for our future. With computer vision we are able to make unreadable texts readable. We are also able to recognize faces and other objects in real time. We can apply filters, transformations and lots of effects. If you want to be a part of this movement instead of being overrun by it, you should learn these skills as fast as possible! In this seventh volume of The Python Bible, we will build on the skills and knowledge of the previous volumes. You will receive a well-written and detailed book that will help you to become a computer vision expert in Python. You will learn to do many impressive things like making poorly lit texts readable, movement detection in videos and professional object recognition. In this book you will learn step-by-step, how to realize these projects. After Reading This Book You Will Have The Following Skills: - Understanding computer vision and visual computing- Understanding color schemes (RGB, BGR, HSV)- Making unreadable texts readable again with thresholding- Extracting essential information out of images and videos- Edge detection- Template matching and feature matching- Movement detection in videos- Professional object recognition with OpenCV Master Computer Vision with Python and OpenCV!
Author: Jentezen Franklin Publisher: Charisma Media ISBN: 1621362205 Category : Religion Languages : en Pages : 255
Book Description
New York Times best-selling author Jentezen Franklin is back with a message that will inspire you to break free and reclaim a life of passion, purpose, and praise.
Author: Florian Dedov Publisher: ISBN: Category : Languages : en Pages : 138
Book Description
The Most Important Skill in Computer Science! The field of algorithms and data structures is one of the most important in computer science. You will rarely be invited to a coding interview at Google, Microsoft or Facebook and not be asked questions about it. This is because these companies know how valuable the skills taught are. It doesn't matter if you are into machine learning, ethical hacking, cyber security or enterprise software engineering. You will always need to be able to work with algorithms and data structures. However, this field is also by many considered to be one of the hardest, since it is so abstract and complex. This is mainly due to the style in which it is taught. Most professors in colleges focus on exact mathematical definitions instead of understanding. And while you can't blame them for doing their job, there are better ways to learn about this subject. This book is for everyone who is interested in an intuitive and simple approach to algorithms and data structures. It is for everyone who is frustrated with memorizing dry formal definitions. This bible covers all the formal definitions that are important and necessary but it mainly focuses on breaking complex things down in a simple way. At the end, you will not only know how to formally analyze algorithms but you will also deeply understand what is happening behind the scenes and why things are the way they are. After Reading This Book You Will Have The Following Skills: - Intuitive understanding of algorithms and data structures - Analyzing the runtime complexity of algorithms - Using the Big O notation - Dissecting and analyzing sorting algorithms (Bubble Sort, Merge Sort, Quick Sort...) - Understanding and applying graph theory and related algorithms (BFS, DFS, Kruskal, Dijkstra) - Understanding basic data structures and their time complexities (Linked Lists, Stacks, Heaps, Trees...) - Using self-balancing trees (AVL, B-Tree...) - Understanding and applying hashing and collision resolution Master Algorithms and Data Structure Simply and Intuitively!
Author: Ian Goodfellow Publisher: MIT Press ISBN: 0262337371 Category : Computers Languages : en Pages : 801
Book Description
An introduction to a broad range of topics in deep learning, covering mathematical and conceptual background, deep learning techniques used in industry, and research perspectives. “Written by three experts in the field, Deep Learning is the only comprehensive book on the subject.” —Elon Musk, cochair of OpenAI; cofounder and CEO of Tesla and SpaceX Deep learning is a form of machine learning that enables computers to learn from experience and understand the world in terms of a hierarchy of concepts. Because the computer gathers knowledge from experience, there is no need for a human computer operator to formally specify all the knowledge that the computer needs. The hierarchy of concepts allows the computer to learn complicated concepts by building them out of simpler ones; a graph of these hierarchies would be many layers deep. This book introduces a broad range of topics in deep learning. The text offers mathematical and conceptual background, covering relevant concepts in linear algebra, probability theory and information theory, numerical computation, and machine learning. It describes deep learning techniques used by practitioners in industry, including deep feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology; and it surveys such applications as natural language processing, speech recognition, computer vision, online recommendation systems, bioinformatics, and videogames. Finally, the book offers research perspectives, covering such theoretical topics as linear factor models, autoencoders, representation learning, structured probabilistic models, Monte Carlo methods, the partition function, approximate inference, and deep generative models. Deep Learning can be used by undergraduate or graduate students planning careers in either industry or research, and by software engineers who want to begin using deep learning in their products or platforms. A website offers supplementary material for both readers and instructors.
Author: Hadley Wickham Publisher: "O'Reilly Media, Inc." ISBN: 1491910364 Category : Computers Languages : en Pages : 521
Book Description
Learn how to use R to turn raw data into insight, knowledge, and understanding. This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience, R for Data Science is designed to get you doing data science as quickly as possible. Authors Hadley Wickham and Garrett Grolemund guide you through the steps of importing, wrangling, exploring, and modeling your data and communicating the results. You'll get a complete, big-picture understanding of the data science cycle, along with basic tools you need to manage the details. Each section of the book is paired with exercises to help you practice what you've learned along the way. You'll learn how to: Wrangle—transform your datasets into a form convenient for analysis Program—learn powerful R tools for solving data problems with greater clarity and ease Explore—examine your data, generate hypotheses, and quickly test them Model—provide a low-dimensional summary that captures true "signals" in your dataset Communicate—learn R Markdown for integrating prose, code, and results
Author: Florian Dedov
Author: Florian Dedov
Author: Florian Dedov
Author: Maurice J. Thompson
Author: John M. Zelle
Author: Dave Brueck
Author: Florian Dedov
Author: Jentezen Franklin
Author: Florian Dedov
Author: Ian Goodfellow
Author: Hadley Wickham