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Author: Florian Dedov
Publisher:
ISBN:
Category :
Languages : en
Pages : 508
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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
Get Book Here
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
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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
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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: Florian Dedov
Publisher:
ISBN: 9781086956764
Category :
Languages : en
Pages : 66
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Book Description
MACHINE LEARNING WITH PYTHON!Machine Learning is probably the most important and fastest-growing industry in today's world. It's a much hyped term and nowadays it can be found almost everywhere. In robots, video games, the stock market, home appliances or even in cars. And it's constantly growing. The development of artificial intelligences can't be stopped and it bears almost unlimited potential (for both - good and evil). The people who don't educate themselves on this matter will be overrun by the development instead of benefiting from it.Python is definitely the language that dominates the AI market. Of course, artificial intelligences are developed in all sorts of languages but Python has become the lingua franca of machine learning in the past few years. Therefore, if you want to be part of this future, you will need to be fluent in Python and get a good understanding of machine learning.In this volume of The Python Bible series, we will dig deep into the machine learning realm and the Python language. We will train and apply complex machine learning models and at the end you will be able to develop and optimize your own AI suited for your specific tasks.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!After reading this book and applying what you've been taught, you will be able to build your own powerful machine learning models. You will be able to predict future data by using Python and machine learning algorithms. In a nutshell: You will have an amazing basis for your future programming and machine learning career.You'll have the following skills: - Deep Understanding of Machine Learning- Applying Linear Regression to Basic Problems- Building Models For Classification of Complex Data- Using Support Vector Machines For Powerful Tasks- Applying Unsupervised Learning Models- Clustering Chaotic Data- Understanding Neural Networks- Building Models That Recognize Handwritten Digits- Building Your Own Customized Neural Network- Optimizing Machine Learning ModelsAlso, 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: John M. Zelle
Publisher: Franklin, Beedle & Associates, Inc.
ISBN: 1887902996
Category : Computers
Languages : en
Pages : 533
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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
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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: Jentezen Franklin
Publisher: Charisma Media
ISBN: 1621362205
Category : Religion
Languages : en
Pages : 255
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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: 9781686407376
Category :
Languages : en
Pages : 56
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Book Description
ANALYZE YOUR INVESTMENTS WITH PYTHON!Who wants to build long-term wealth needs to invest his capital. But nowadays investing isn't done in the same way as it was a couple of decades ago. Nowadays everything works with computers, algorithms, data science and machine learning. We already know that Python is the lingua franca of these fields. The people who don't educate themselves on this matter will be overrun by the development instead of benefiting from it.In the last volumes we learned a lot about data science and machine learning but we didn't apply these to anything from the real world except for some public datasets for demonstration. This book will focus on applying data science and machine learning onto financial data. We are going to load stock data, visualize it, analyze it and also predict share prices.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!After reading this book you will be able to apply the advanced Python knowledge and the machine learning expertise that you've already got to the finance industry. Take time while reading this book and code along. You will learn much more that way. In a nutshell: You will have an amazing basis for your future programming and machine learning career.You'll have the following skills: - Deep Understanding of Machine Learning- Financial Analysis With Python- Analyzing Stock Prices- Visualizing Financial Data and Correlations- Calculating And Plotting Regression Lines - Predicting Share Prices With Machine LearningAlso, 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: Florian Dedov
Publisher:
ISBN: 9781089201847
Category :
Languages : en
Pages : 234
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Book Description
A Simple And Powerful Programming Language!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 Python BibleWhy 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 3 in 1 trilogy of the Python Bible you will get to know the basic and advanced concepts and programming structures of the language. Also, you will learn about data science and statistical analysis. 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, You'll Have The Following Skills: - Development of modular Python applications- Understanding and applying advanced programming concepts- Solving advanced problems in the Python language- Object-oriented programming- Efficiently managing resources- Network programming- Penetration testing with Python- Developing a client-server system- Multithreading- Automating complex processes- XML Processing- Database Programming- Logging- Operating with efficient NumPy arrays in Python- Understanding and applying linear algebra in Python- Visualizing big data sets and extracting important information- Plotting statistical graphs in Python (Histograms, Boxplot etc.)- 3D Plotting and Visualization- Organizing big data sets in Pandas Data Frames- Sorting, Joining and Merging data frames- Querying data out of data frames- Laying a foundation for future volumes about machine learning and financeExcel at your programming career with The Python Bible
Author: Ian Goodfellow
Publisher: MIT Press
ISBN: 0262337371
Category : Computers
Languages : en
Pages : 801
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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.
