Ultimate Python For Fintech Solutions

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Ultimate Python for Fintech Solutions

Author : Bhagvan Kommadi
Publisher : Orange Education Pvt Ltd
ISBN 13 : 8197256209
Total Pages : 302 pages
Book Rating : 4.1/5 (972 download)

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Book Synopsis Ultimate Python for Fintech Solutions by : Bhagvan Kommadi

Download or read book Ultimate Python for Fintech Solutions written by Bhagvan Kommadi and published by Orange Education Pvt Ltd. This book was released on 2024-07-12 with total page 302 pages. Available in PDF, EPUB and Kindle. Book excerpt: TAGLINE Creating Next Gen Apps in Finance KEY FEATURES ● Master the Python libraries and packages essential for financial applications, enabling robust development. ● Utilize Python for developing applications that process financial information, visualize data in diverse formats, and create insightful representations. ● Derive analytical insights from mathematical models integrated into Python applications for data-driven decision-making in finance and fintech. DESCRIPTION Dive into the dynamic world where finance meets fintech with Python's versatile capabilities in this 'Ultimate Python for Fintech Solutions'. Whether you're aiming to build secure trading platforms, conduct deep statistical analysis, or pioneer next-generation financial technologies, this book quips you with the knowledge, tools, and practical insights to succeed. This book starts with Python's foundational programming techniques, essential for understanding financial principles and laying the groundwork for robust applications. You will learn to build scalable solutions that handle complex financial data with ease by using Python for analysis, forecasting, and data visualization. Next, it moves to explore advanced topics like AI/ML applications tailored for finance, enabling you to unlock predictive insights and streamline decision-making processes. You will discover how Python integrates cutting-edge technologies such as Big Data and Blockchain, to offer innovative solutions for modern fintech challenges. By the end of this expansive book, you will gain the expertise needed to develop sophisticated financial applications, visualize data effectively across desktop and web platforms, and drive innovation in fintech. WHAT WILL YOU LEARN ● Learn to build robust applications tailored for financial analysis, modeling, and fintech solutions using Python. ● Learn to analyze large volumes of financial data, and visualize insights effectively. ● Apply advanced AI/ML techniques to predict trends, optimize financial strategies, and automate decision-making processes. ● Integrate Python with Big Data platforms and Blockchain technologies to work with massive datasets and decentralized financial systems. ● Acquire the knowledge and skills to innovate in the fintech space to address modern financial challenges and opportunities. WHO IS THIS BOOK FOR? This book is for working professionals, students, business managers, consultants, technical/functional analysts, anyone wishing to improve their skills in Fintech with Python. This book will be a great start for a programmer who wants to start on the Python tech stack and make a career in Fintech space. The prerequisites for the reader will be basic mathematics and advanced math topics such as time series, derivatives, and integrals. The outcome for the reader will be to understand mathematical modeling and to have capability to develop next gen financial apps. TABLE OF CONTENTS 1. Getting Started on Python Infrastructure and Building Financial Apps 2. Learning Financial Concepts Using Python 3. Data Structures and Algorithms Using Python 4. Object Oriented Programming Using Python 5. Building Simulation and Mathematical Analysis Tools Using Python 6. Stochastic Mathematics and Building Models Using Python 7. Prediction Algorithms Using Python 8. Data Science and Statistical Algorithms Using Python 9. Desktop and Web Charting Using Python 10. AI/ML Apps Using Python 11. Big Data/Blockchain-Based Solutions Using Python 12. Next Generation FinTech Apps Using Python with Financial Singularity Index

Python Programming: The Ultimate Advanced Guide to Python Coding Language, Machine Learning, and Data Analysis, Become an Expert with Hand

Download Python Programming: The Ultimate Advanced Guide to Python Coding Language, Machine Learning, and Data Analysis, Become an Expert with Hand PDF Online Free

Author : John Russel
Publisher : Python Programming
ISBN 13 : 9781913922429
Total Pages : 144 pages
Book Rating : 4.9/5 (224 download)

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Book Synopsis Python Programming: The Ultimate Advanced Guide to Python Coding Language, Machine Learning, and Data Analysis, Become an Expert with Hand by : John Russel

Download or read book Python Programming: The Ultimate Advanced Guide to Python Coding Language, Machine Learning, and Data Analysis, Become an Expert with Hand written by John Russel and published by Python Programming. This book was released on 2020-09-22 with total page 144 pages. Available in PDF, EPUB and Kindle. Book excerpt: If you want to master Python programming and impress your friends with the programs you can make from scratch, then Keep Reading... The truth is...Choose to hire another programmer to do the work, is costly, and if anything ever goes wrong with the program, you still have to pay them. You may even have a great idea for your website or make your app, or even a game, but with the costs being so high, it seems pointless and you give up before trying. Sounds familiar? The solution is a step-by-step guide with practical projects and examples that will allow you to finally master the easiest programming language. Python has all of the power that you need to finally take on that machine learning or data analysis project that you always wanted to handle, without all of those complicated parts that come with other coding languages. And that's what you'll learn in Python Programming. Inside this guidebook, we are going to spend some time taking a look at the basics that we need on the Python language, before moving into topics like machine learning and data analysis. You will learn: What the Python Language is all About and Why Programmers around the World Choose It 7 Main Benefits of Working with Python How to Install Python on your Operating System The Importance of Data Types and Variables Basic of Python Language Including Inheritances, Loops, Classes, and Raising Exceptions Machine Learning and How It Fits in with the Python Language The Benefits of Using Python for Data Analysis 7 Libraries that Work Well with Completing your own Data Analysis in no Time at all Most of the books on the market only take a brief look into Python, showing some of the topics but never going deep and showing you how to work on the code. Python Programming is full of step-by-step exercises that will help you become a Python expert. There is so much that we can do when it comes to using the Python language, especially when we are looking at combining it with machine learning and data analysis. Would You Like To Know More? Get this book now to Master the Python Coding Language!

Machine Learning for FInance

Author : Vincent Bisette
Publisher : Independently Published
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.3/5 (267 download)

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Book Synopsis Machine Learning for FInance by : Vincent Bisette

Download or read book Machine Learning for FInance written by Vincent Bisette and published by Independently Published. This book was released on 2024-05-27 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Reactive Publishing Unlock the full potential of your financial analysis with "Machine Learning for Finance." This comprehensive guide takes you from the basics of Python programming to advanced machine learning techniques tailored specifically for financial applications. Perfect for finance professionals, data scientists, and anyone eager to harness the power of AI in finance, this book provides: Step-by-step tutorials on Python and key machine learning libraries. Practical case studies demonstrating real-world financial applications. Techniques for predicting stock prices, managing risk, and optimizing portfolios. Insights into the latest trends in financial technology. Written by an industry expert, "Machine Learning for Finance" bridges the gap between finance and technology, equipping you with the tools to make data-driven decisions and stay ahead in the competitive financial landscape. Whether you're a seasoned professional or a curious beginner, this book is your ultimate resource for mastering the intersection of finance and machine learning. Transform your financial strategies with Python and join the future of finance today!

Python

Author : Computer Programming Academy
Publisher :
ISBN 13 : 9781676772941
Total Pages : 209 pages
Book Rating : 4.7/5 (729 download)

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Book Synopsis Python by : Computer Programming Academy

Download or read book Python written by Computer Programming Academy and published by . This book was released on 2019-12-17 with total page 209 pages. Available in PDF, EPUB and Kindle. Book excerpt: If you work in data science, or are hoping to make it your career, Python is a must! It's no secret that many jobs will be eliminated in the near future. While that reality may be difficult to digest, it's also believed that the most responsible party -- namely automation -- will lead the way in a golden age of opportunity. That's because there will be a tremendous need for people who are capable of programing all those new systems. And, the language of choice for machine learning software is Python which, as it happens, is the perfect first language to learn. Python has now toppled Java to become the most taught programming languages in Universities and Academia! Learning Python not only will make you a polyglot programmer but also gives you a powerful tool in your arsenal to write scripts, create a web application, and open the door to the exciting fields of data science and machine learning. In this book, you will learn the fundamentals of Python, and the benefits are: Python works on different platforms (Windows, Mac, Linux, Raspberry Pi, etc.). Python has a simple syntax similar to the English language. Python has syntax that allows developers to write programs with fewer lines than some other programming languages. Python runs on an interpreter system, meaning that code can be executed as soon as it is written. This means that prototyping can be very quick. Python can be treated in a procedural way, an object-orientated way or a functional way. It's important to know programming and coding in today's world and if you don't know coding you are missing something and Python is a great way to start learning to code. WHAT ARE YOU WAITING FOR? A FEW DOLLARS SPENT ARE THE VALUE OF YOUR SKILL IMPROVEMENT? It's definitely possible to learn Python on your own. To learn it steps by steps by pressing the BUY NOW BUTTOM!

Python for Data Science

Author : Daniel O'Reilly
Publisher :
ISBN 13 :
Total Pages : 112 pages
Book Rating : 4.5/5 (74 download)

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Book Synopsis Python for Data Science by : Daniel O'Reilly

Download or read book Python for Data Science written by Daniel O'Reilly and published by . This book was released on 2020-11-23 with total page 112 pages. Available in PDF, EPUB and Kindle. Book excerpt: Here's the Perfect Solution if You Want to Become the Master of Data Science and Learn Phyton Step-by-Step Would you like to: Learn a super competitive skill? Become irreplaceable in the future job market? Upgrade yourself to the ultimate data whizz? If so, then keep reading! Data science is one of the emerging technologies that is set to radically transform the job market. With applications in almost every industry, data science experts will have no shortage of great job offers. But, the whole field may seem a little intimidating if your background is not specific to data science. This book is here to guide you through the field of data science from the very beginning. You will learn the fundamental skills and tools to support your learning process. If you're a beginner, this is the book to help you easily understand the basics of data science. To understand data science, you also need a good understanding of how Python helps you design and implement these projects. This guidebook is going to explain how we can get all of this done. Here just a little preview of what you'll find inside this book: A thorough and simple explanation of data science and the way it works Basics of data science and fundamental skills you need to get started Data science libraries you need to learn to become a data whizz A blueprint for the most used frameworks for Python data science How to process and understand the data and design your own projects AND SO MUCH MORE! Even if you're an absolute beginner with little programming experience, you will find this book easy to follow and implement. This guide is your first step towards a successful data science career, so don't hesitate! Scroll Up, Click the "Buy Now with 1-Click", and Get Your Copy!

Python : the Ultimate Python Quickstart Guide - from Beginner to Intermediate

Author : Mark Zacks
Publisher :
ISBN 13 : 9781520596181
Total Pages : 206 pages
Book Rating : 4.5/5 (961 download)

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Book Synopsis Python : the Ultimate Python Quickstart Guide - from Beginner to Intermediate by : Mark Zacks

Download or read book Python : the Ultimate Python Quickstart Guide - from Beginner to Intermediate written by Mark Zacks and published by . This book was released on 2017-02-19 with total page 206 pages. Available in PDF, EPUB and Kindle. Book excerpt: A simplified and elegantly crafted book, designed to turn you into an expert in no time! - Don't wait another minute and order your copy today! - Ready yourself to catapult your mind into the beautiful world of Python Programming! Utilizing the updated version Mark Zack's, The Ultimate Python Quick Start Guide - From Beginner to Intermediate (Hands-on Projects, Machine Learning, Learn Coding Fast), you will be able to transcend yourself into: Learning a programming language that is just as versatile as Java or C++, while being much friendlier and accessible to new budding programmers! Familiarizing the different concepts of Python ranging from data modification, operator and mathematical manipulation, functions, method to the more advanced concepts of objects and classes. Knowing the importance of Python in today's corporate world and job market, and knows exactly how and where you will be able to use your newly found skills to shine in your life! Getting to know the most common challenges faced by programmers and tackle them with ease. Don't think about it any longer! Quickly go ahead and visit kindle through your PC, Mac, Tablet or Smartphone and take the first step to your success! After you have learned the language of Python, no more software developing firms or companies will ever show you the door out and you will exponentially increase your value in the job market! Scroll back and get your copy TODAY of The Ultimate Python Quick Start Guide and change the whole course of your destiny!

Python for Data Science

Author : Daniel O'Reilly
Publisher :
ISBN 13 :
Total Pages : 112 pages
Book Rating : 4.7/5 (11 download)

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Book Synopsis Python for Data Science by : Daniel O'Reilly

Download or read book Python for Data Science written by Daniel O'Reilly and published by . This book was released on 2021-02-16 with total page 112 pages. Available in PDF, EPUB and Kindle. Book excerpt: Here's the Perfect Solution if You Want to Become the Master of Data Science and Learn Phyton Step-by-Step Would you like to: Learn a super competitive skill? Become irreplaceable in the future job market? Upgrade yourself to the ultimate data whizz? If so, then keep reading! Data science is one of the emerging technologies that is set to radically transform the job market. With applications in almost every industry, data science experts will have no shortage of great job offers. But, the whole field may seem a little intimidating if your background is not specific to data science. This book is here to guide you through the field of data science from the very beginning. You will learn the fundamental skills and tools to support your learning process. If you're a beginner, this is the book to help you easily understand the basics of data science. To understand data science, you also need a good understanding of how Python helps you design and implement these projects. This guidebook is going to explain how we can get all of this done. Here just a little preview of what you'll find inside this book: A thorough and simple explanation of data science and the way it works Basics of data science and fundamental skills you need to get started Data science libraries you need to learn to become a data whizz A blueprint for the most used frameworks for Python data science How to process and understand the data and design your own projects AND SO MUCH MORE! Even if you're an absolute beginner with little programming experience, you will find this book easy to follow and implement. This guide is your first step towards a successful data science career, so don't hesitate! Scroll Up, Click the "Buy Now with 1-Click", and Get Your Copy!

Ultimate Cardano Smart Contracts

Author : Lawrence Arthur Ley
Publisher : Orange Education Pvt Ltd
ISBN 13 : 8197396531
Total Pages : 407 pages
Book Rating : 4.1/5 (973 download)

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Book Synopsis Ultimate Cardano Smart Contracts by : Lawrence Arthur Ley

Download or read book Ultimate Cardano Smart Contracts written by Lawrence Arthur Ley and published by Orange Education Pvt Ltd. This book was released on 2024-06-14 with total page 407 pages. Available in PDF, EPUB and Kindle. Book excerpt: TAGLINE Build Decentralized Applications Today for a Better Tomorrow KEY FEATURES ● Build secure, scalable, and resilient Web3 Cardano Blockchain applications. ● Project-based learning connects blockchain concepts to project architecture and source code. ● Discover new employment opportunities, business models, and markets. DESCRIPTION Unlock the full potential of the Cardano blockchain for building decentralized Web 3.0 apps with Ultimate Cardano Smart Contracts. This book takes you on a journey from the basics of blockchain evolution, cryptography, and Cardano's unique consensus algorithm, to the intricacies of transactions and smart contracts. You'll dive deep into Plutus, Cardano's native smart contract language, and master essential tools like the Transaction Builder and Validators. Learn how to mint your own tokens and utilize the best development tools available. Through a real-world ticketing application project, you'll design, implement, test, and deploy a decentralized application, ensuring robust security and scalability. Troubleshoot common issues and explore the vibrant Cardano ecosystem, filled with resources and communities to support your ongoing development journey. By the end of this book, you'll have the skills and confidence to create sophisticated smart contracts and contribute to the innovative world of Cardano. WHAT WILL YOU LEARN ● Gain a comprehensive understanding of blockchain technology and Cardano's innovative approach. ● Develop and deploy a variety of smart contracts on the Cardano blockchain. ● Master the creation and interaction with both Fungible Tokens (FTs) and Non-Fungible Tokens (NFTs) for diverse use cases. ● Implement advanced testing methodologies to ensure the security and reliability of your smart contracts. ● Design and build scalable decentralized applications (dApps) using Cardano's Plutus language. ● Explore real-world case studies and best practices for successful smart contract development. ● Engage with the vibrant Cardano community and contribute confidently to the ecosystem. WHO IS THIS BOOK FOR? This book is tailored for software developers, architects, analysts, computer science students, and blockchain enthusiasts looking to expand their knowledge and skills. It’s ideal for entrepreneurs who want to learn about Cardano's capabilities to build decentralized applications and create new business opportunities. TABLE OF CONTENTS 1. Blockchain Evolution 2. Cryptography and Consensus Algorithms Overview 3. Transactions 4. Plutus 5. Transaction Builder 6. Validators 7. Minting 8. Tooling 9. Ticket Application Design 10. Ticket Application Implementation 11. Testing, Security, and Scaling 12. Troubleshooting 13. Cardano Ecosystem 14. Closing Remarks Bibliography Index

Python For Data Analysis

Author : Matt Algore
Publisher :
ISBN 13 : 9781801583756
Total Pages : 82 pages
Book Rating : 4.5/5 (837 download)

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Book Synopsis Python For Data Analysis by : Matt Algore

Download or read book Python For Data Analysis written by Matt Algore and published by . This book was released on 2021-01-14 with total page 82 pages. Available in PDF, EPUB and Kindle. Book excerpt: Talking about the IT world, there are many options when you have to choose language programming to learn and then to use for developing your career, especially if you want to become a Data Scientist. Python is one of the topmost languages and is becoming more and more popular because of plenty of reasons and one of the key reasons is that it is the best language to master if you want to analyze the data or get into the field of data analysis and data sciences. This Handbook will not only give you reasons on why you need to learn data science, but it will also tell you why learning data science with Python training is the better option. In this book you will: - Have a Clear and Exhaustive Explanation About Data Analysis and Why It Is So Important Today in The Business World; organizations of all sizes rely on the insights they extract from the data they have to measure progress, make informed decisions, plan for the future, and so on. Data scientists are the people who process and organize the data with scientific methods, algorithms, and other techniques. - Understand Why Python is Preferred to Use For Data Analysis Over Other Toolsand the reasons why all the benefits of using Python made it the best tool to learn data science. - Find a Step by Step Process to Install Python on Your Computer and a complete analysis of its hundreds of different libraries and frameworks which is a great addition to your development process. There's one library and framework for every need! - Have a Complete and Exhaustive List of Python Application to realize how this tool is flexible if you want to try something creative that's never done before. Due to that, it's possible to build data models, systematize data sets, create ML-powered algorithms, web services, and apply data mining to accomplish different tasks in a brief time for any kind of business organization - Learn How to Carry Out Work More and More Complex and Difficult to be updated on new themes and trends in the sector and carry out small independent jobs to finance your projects. - & Lot More! Are you completely new to programming and want to learn how to code, but don't know where to begin? Are you looking to upgrade your data wrangling skills to future-proof your career and break into Data Science and Analytics? Python is one of the most valuable and interesting languages for data analysis. Therefore, the popularity of Python is growing day by day, especially in the world of data analysis or data sciences. This Definitive Guide will combine Data Analysis and Python to give you the best information you could find. This guide is perfect to help you build amazing products and help businesses Order Your Copy Now and Start Becoming a Successful Python Expert!

Python for Data Science

Author : tony f. charles
Publisher : Independently Published
ISBN 13 : 9781654509811
Total Pages : 136 pages
Book Rating : 4.5/5 (98 download)

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Book Synopsis Python for Data Science by : tony f. charles

Download or read book Python for Data Science written by tony f. charles and published by Independently Published. This book was released on 2020-01-02 with total page 136 pages. Available in PDF, EPUB and Kindle. Book excerpt: Are you looking for a beginners guide? Do you want to learn how to use python for beginners in a simple way? Do you want to enter into the new world of Python for beginners in an efficient and effective way? This book will teach you the basics as well as the advanced concepts of computers and programming. The gaming industry is growing rapidly and Python offers a lot of libraries to create games. Many tech giants rely on Python to deliver world-class applications. In This book you will learn: Python setup Anaconda Winpython Data science packeges Jupyter Data munging with pandas The process Importing datasets Data preprocessing The data science pipeline Principal component analysis Supervised learning algorithms Analyzing big data Neural networks structures Classification and regression trees The overfitting problem New features Naïve bayes classifier Linear regression Logistic regression Support vector machine Applications in the real world Pruning Data selection This book is not just a startup guide. This book will prove beneficial for years to come. The book has the latest codes and techniques so you can equip your skills according to the current market challenges. After all, the purpose is to land a nicely paid job in a globally recognized firm. This book will help you reach that goal! Most people can learn how to code but not just anyone can code smartly. This book is going to help you to think out of the box and take on problems with a completely different perspective. The tricks mentioned will make you invaluable to any software development firm. Even if you don't have any skills this book help you step by step to achieve your goal in a few days you will be able to learn it. scroll up and buy now

Data-Centric Machine Learning with Python

Author : Jonas Christensen
Publisher : Packt Publishing Ltd
ISBN 13 : 1804612413
Total Pages : 378 pages
Book Rating : 4.8/5 (46 download)

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Book Synopsis Data-Centric Machine Learning with Python by : Jonas Christensen

Download or read book Data-Centric Machine Learning with Python written by Jonas Christensen and published by Packt Publishing Ltd. This book was released on 2024-02-29 with total page 378 pages. Available in PDF, EPUB and Kindle. Book excerpt: Join the data-centric revolution and master the concepts, techniques, and algorithms shaping the future of AI and ML development, using Python Key Features Grasp the principles of data centricity and apply them to real-world scenarios Gain experience with quality data collection, labeling, and synthetic data creation using Python Develop essential skills for building reliable, responsible, and ethical machine learning solutions Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionIn the rapidly advancing data-driven world where data quality is pivotal to the success of machine learning and artificial intelligence projects, this critically timed guide provides a rare, end-to-end overview of data-centric machine learning (DCML), along with hands-on applications of technical and non-technical approaches to generating deeper and more accurate datasets. This book will help you understand what data-centric ML/AI is and how it can help you to realize the potential of ‘small data’. Delving into the building blocks of data-centric ML/AI, you’ll explore the human aspects of data labeling, tackle ambiguity in labeling, and understand the role of synthetic data. From strategies to improve data collection to techniques for refining and augmenting datasets, you’ll learn everything you need to elevate your data-centric practices. Through applied examples and insights for overcoming challenges, you’ll get a roadmap for implementing data-centric ML/AI in diverse applications in Python. By the end of this book, you’ll have developed a profound understanding of data-centric ML/AI and the proficiency to seamlessly integrate common data-centric approaches in the model development lifecycle to unlock the full potential of your machine learning projects by prioritizing data quality and reliability.What you will learn Understand the impact of input data quality compared to model selection and tuning Recognize the crucial role of subject-matter experts in effective model development Implement data cleaning, labeling, and augmentation best practices Explore common synthetic data generation techniques and their applications Apply synthetic data generation techniques using common Python packages Detect and mitigate bias in a dataset using best-practice techniques Understand the importance of reliability, responsibility, and ethical considerations in ML/AI Who this book is for This book is for data science professionals and machine learning enthusiasts looking to understand the concept of data-centricity, its benefits over a model-centric approach, and the practical application of a best-practice data-centric approach in their work. This book is also for other data professionals and senior leaders who want to explore the tools and techniques to improve data quality and create opportunities for small data ML/AI in their organizations.

Python for Finance

Author : Yves Hilpisch
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1492024295
Total Pages : 720 pages
Book Rating : 4.4/5 (92 download)

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Book Synopsis Python for Finance by : Yves Hilpisch

Download or read book Python for Finance written by Yves Hilpisch and published by "O'Reilly Media, Inc.". This book was released on 2018-12-05 with total page 720 pages. Available in PDF, EPUB and Kindle. Book excerpt: The financial industry has recently adopted Python at a tremendous rate, with some of the largest investment banks and hedge funds using it to build core trading and risk management systems. Updated for Python 3, the second edition of this hands-on book helps you get started with the language, guiding developers and quantitative analysts through Python libraries and tools for building financial applications and interactive financial analytics. Using practical examples throughout the book, author Yves Hilpisch also shows you how to develop a full-fledged framework for Monte Carlo simulation-based derivatives and risk analytics, based on a large, realistic case study. Much of the book uses interactive IPython Notebooks.

Python for Finance Cookbook

Author : Eryk Lewinson
Publisher : Packt Publishing Ltd
ISBN 13 : 1789617324
Total Pages : 426 pages
Book Rating : 4.7/5 (896 download)

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Book Synopsis Python for Finance Cookbook by : Eryk Lewinson

Download or read book Python for Finance Cookbook written by Eryk Lewinson and published by Packt Publishing Ltd. This book was released on 2020-01-31 with total page 426 pages. Available in PDF, EPUB and Kindle. Book excerpt: Solve common and not-so-common financial problems using Python libraries such as NumPy, SciPy, and pandas Key FeaturesUse powerful Python libraries such as pandas, NumPy, and SciPy to analyze your financial dataExplore unique recipes for financial data analysis and processing with PythonEstimate popular financial models such as CAPM and GARCH using a problem-solution approachBook Description Python is one of the most popular programming languages used in the financial industry, with a huge set of accompanying libraries. In this book, you'll cover different ways of downloading financial data and preparing it for modeling. You'll calculate popular indicators used in technical analysis, such as Bollinger Bands, MACD, RSI, and backtest automatic trading strategies. Next, you'll cover time series analysis and models, such as exponential smoothing, ARIMA, and GARCH (including multivariate specifications), before exploring the popular CAPM and the Fama-French three-factor model. You'll then discover how to optimize asset allocation and use Monte Carlo simulations for tasks such as calculating the price of American options and estimating the Value at Risk (VaR). In later chapters, you'll work through an entire data science project in the financial domain. You'll also learn how to solve the credit card fraud and default problems using advanced classifiers such as random forest, XGBoost, LightGBM, and stacked models. You'll then be able to tune the hyperparameters of the models and handle class imbalance. Finally, you'll focus on learning how to use deep learning (PyTorch) for approaching financial tasks. By the end of this book, you’ll have learned how to effectively analyze financial data using a recipe-based approach. What you will learnDownload and preprocess financial data from different sourcesBacktest the performance of automatic trading strategies in a real-world settingEstimate financial econometrics models in Python and interpret their resultsUse Monte Carlo simulations for a variety of tasks such as derivatives valuation and risk assessmentImprove the performance of financial models with the latest Python librariesApply machine learning and deep learning techniques to solve different financial problemsUnderstand the different approaches used to model financial time series dataWho this book is for This book is for financial analysts, data analysts, and Python developers who want to learn how to implement a broad range of tasks in the finance domain. Data scientists looking to devise intelligent financial strategies to perform efficient financial analysis will also find this book useful. Working knowledge of the Python programming language is mandatory to grasp the concepts covered in the book effectively.

Robo-Advisor with Python

Author : Aki Ranin
Publisher : Packt Publishing Ltd
ISBN 13 : 1801819009
Total Pages : 250 pages
Book Rating : 4.8/5 (18 download)

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Book Synopsis Robo-Advisor with Python by : Aki Ranin

Download or read book Robo-Advisor with Python written by Aki Ranin and published by Packt Publishing Ltd. This book was released on 2023-02-28 with total page 250 pages. Available in PDF, EPUB and Kindle. Book excerpt: Build your own robo-advisor in Python to manage your investments and get up and running in no time Purchase of the print or Kindle book includes a free PDF eBook Key FeaturesExplore the use cases, workflow, and features that make up robo-advisorsLearn how to build core robo-advisor capabilities for goals, risk questions, portfolios, and projectionsDiscover how to operate the automated processes of a built and deployed robo-advisorBook Description Robo-advisors are becoming table stakes for the wealth management industry across all segments, from retail to high-net-worth investors. Robo-advisors enable you to manage your own portfolios and financial institutions to create automated platforms for effective digital wealth management. This book is your hands-on guide to understanding how Robo-advisors work, and how to build one efficiently. The chapters are designed in a way to help you get a comprehensive grasp of what Robo-advisors do and how they are structured with an end-to-end workflow. You'll begin by learning about the key decisions that influence the building of a Robo-advisor, along with considerations on building and licensing a platform. As you advance, you'll find out how to build all the core capabilities of a Robo-advisor using Python, including goals, risk questionnaires, portfolios, and projections. The book also shows you how to create orders, as well as open accounts and perform KYC verification for transacting. Finally, you'll be able to implement capabilities such as performance reporting and rebalancing for operating a Robo-advisor with ease. By the end of this book, you'll have gained a solid understanding of how Robo-advisors work and be well on your way to building one for yourself or your business. What you will learnExplore what Robo-advisors do and why they existCreate a workflow to design and build a Robo-advisor from the bottom upBuild and license Robo-advisors using different approachesOpen and fund accounts, complete KYC verification, and manage ordersBuild Robo-advisor features for goals, projections, portfolios, and moreOperate a Robo-advisor with P&L, rebalancing, and fee managementWho this book is for If you are a finance professional or a data professional working in wealth management and are curious about how robo-advisors work, this book is for you. It will be helpful to have a basic understanding of Python and investing concepts. This is a great handbook for developers interested in building their own robo-advisor to manage personal investments or build a platform for their business to operate, as well as for product managers and business leaders in financial services looking to lease, buy, or build a robo-advisor.

Hands-On Data Science and Python Machine Learning

Author : Frank Kane
Publisher : Packt Publishing Ltd
ISBN 13 : 1787280225
Total Pages : 415 pages
Book Rating : 4.7/5 (872 download)

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Book Synopsis Hands-On Data Science and Python Machine Learning by : Frank Kane

Download or read book Hands-On Data Science and Python Machine Learning written by Frank Kane and published by Packt Publishing Ltd. This book was released on 2017-07-31 with total page 415 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers the fundamentals of machine learning with Python in a concise and dynamic manner. It covers data mining and large-scale machine learning using Apache Spark. About This Book Take your first steps in the world of data science by understanding the tools and techniques of data analysis Train efficient Machine Learning models in Python using the supervised and unsupervised learning methods Learn how to use Apache Spark for processing Big Data efficiently Who This Book Is For If you are a budding data scientist or a data analyst who wants to analyze and gain actionable insights from data using Python, this book is for you. Programmers with some experience in Python who want to enter the lucrative world of Data Science will also find this book to be very useful, but you don't need to be an expert Python coder or mathematician to get the most from this book. What You Will Learn Learn how to clean your data and ready it for analysis Implement the popular clustering and regression methods in Python Train efficient machine learning models using decision trees and random forests Visualize the results of your analysis using Python's Matplotlib library Use Apache Spark's MLlib package to perform machine learning on large datasets In Detail Join Frank Kane, who worked on Amazon and IMDb's machine learning algorithms, as he guides you on your first steps into the world of data science. Hands-On Data Science and Python Machine Learning gives you the tools that you need to understand and explore the core topics in the field, and the confidence and practice to build and analyze your own machine learning models. With the help of interesting and easy-to-follow practical examples, Frank Kane explains potentially complex topics such as Bayesian methods and K-means clustering in a way that anybody can understand them. Based on Frank's successful data science course, Hands-On Data Science and Python Machine Learning empowers you to conduct data analysis and perform efficient machine learning using Python. Let Frank help you unearth the value in your data using the various data mining and data analysis techniques available in Python, and to develop efficient predictive models to predict future results. You will also learn how to perform large-scale machine learning on Big Data using Apache Spark. The book covers preparing your data for analysis, training machine learning models, and visualizing the final data analysis. Style and approach This comprehensive book is a perfect blend of theory and hands-on code examples in Python which can be used for your reference at any time.

Head First C#

Author : Andrew Stellman
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1491976659
Total Pages : 1348 pages
Book Rating : 4.4/5 (919 download)

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Book Synopsis Head First C# by : Andrew Stellman

Download or read book Head First C# written by Andrew Stellman and published by "O'Reilly Media, Inc.". This book was released on 2020-12-04 with total page 1348 pages. Available in PDF, EPUB and Kindle. Book excerpt: What will you learn from this book? Dive into C# and create apps, user interfaces, games, and more using this fun and highly visual introduction to C#, .NET Core, and Visual Studio. With this completely updated guide, which covers C# 8.0 and Visual Studio 2019, beginning programmers like you will build a fully functional game in the opening chapter. Then you'll learn how to use classes and object-oriented programming, create 3D games in Unity, and query data with LINQ. And you'll do it all by solving puzzles, doing hands-on exercises, and building real-world applications. By the time you're done, you'll be a solid C# programmer--and you'll have a great time along the way! What's so special about this book? Based on the latest research in cognitive science and learning theory, Head First C# uses a visually rich format to engage your mind rather than a text-heavy approach that puts you to sleep. Why waste your time struggling with new concepts? This multisensory learning experience is designed for the way your brain really works.

The Future of Finance

Author : Henri Arslanian
Publisher : Springer
ISBN 13 : 3030145336
Total Pages : 318 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis The Future of Finance by : Henri Arslanian

Download or read book The Future of Finance written by Henri Arslanian and published by Springer. This book was released on 2019-07-15 with total page 318 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book, written jointly by an engineer and artificial intelligence expert along with a lawyer and banker, is a glimpse on what the future of the financial services will look like and the impact it will have on society. The first half of the book provides a detailed yet easy to understand educational and technical overview of FinTech, artificial intelligence and cryptocurrencies including the existing industry pain points and the new technological enablers. The second half provides a practical, concise and engaging overview of their latest trends and their impact on the future of the financial services industry including numerous use cases and practical examples. The book is a must read for any professional currently working in finance, any student studying the topic or anyone curious on how the future of finance will look like.