Python Powered Strategies
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| Author | : Aaron Maxwell |
| Publisher | : |
| Total Pages | : 220 |
| Release | : 2017-05-07 |
| Genre | : Python (Computer program language) |
| ISBN | : 9780692878972 |
There are many books for those new to Python, new to programming, or both. Powerful Python is different. Written for experienced developers like you, its carefully crafted chapters teach intermediate and advanced strategies, patterns, and tools for modern Python. Focused on Python 3, with full support for 2.7. DRM-free digital upgrade: powerfulpython.com/book-upgrade "Feels like Neo learning Jiu jitsu in the Matrix." - John Beauford (@johnbeauford) "I just wanted to let you know what an excellent book this is... I keep going back to your book to learn Python." - Fahad Qazi, London, UK "Thanks. Keep up the good work. Your chapter on decorators is the best I have seen on that topic." - Leon Tietz, Minnesota, USA "Powerful Python is already helping me get huge optimization gains." - Timothy Dobbins (@TmthyDobbins) "What have I found good and valuable about the book so far? Everything honestly. The clear explanations, solid code examples have really helped me advance as a Python coder... Thank you! It has really helped me grasp some advanced concepts that I felt were beyond my abilities." - Nick S., Colorado, USA For data scientists, back-end engineers, web developers, sysadmins, devops, QA testers and more. What's included: An unrelenting selective spotlight on what's most valuable and impactful to working, full-time, professional Python developers Well-researched, detailed, realistic code on almost every page, powerfully illustrating key points. Very little "toy code" How to use decorators to add rich features to functions and classes; untangle distinct, frustratingly intertwined concerns in your code; and build powerful, extensible software frameworks How to use Python in ways that incentivize other developers to use and re-use your code, again and again... amplifying the impact of the code you write, and boosting your reputation among your peers Powerfully and easily weave iterators and generators throughout your applications, making them massively scalable, highly performant, and far more readable and maintainable How to fully leverage Python's exception and error model... giving you a detailed understanding even experienced Pythonistas often lack, and putting some of the most powerfully Pythonic exception-handling patterns in your toolbox How "magic methods" imbue natural, readable, expressive syntax into your classes and objects... and how to "break the rules" to craft stunningly intuitive, compellingly reusable library interfaces Valuable and powerful design patterns, and how Python's special language features give you uniquely powerful implementations not possible in other languages Deep and detailed instruction on how to write practical, realistic unit tests... using test-driven development to easily get into a state of flow... where you find yourself implementing feature after feature, keeping your focus with ease for long periods of time How to rapidly set up effective logging for scripts, sprawling Python applications, and everything in between An enthusiastic and unapologetic focus on Python 3, and what makes it great... with full explanation and support for getting the same results with Python 2.7 More at PowerfulPython.com.
| Author | : John Anderson |
| Publisher | : Independently Published |
| Total Pages | : 0 |
| Release | : 2024-03 |
| Genre | : Computers |
| ISBN | : |
Embark on a transformative journey with 'Python-Powered Strategies: Unleashing Vision and Language Models from Pretraining to Seamless AWS Deployment.' This comprehensive exploration navigates the dynamic landscape of model development, offering insights into the versatile capabilities of Python in crafting robust vision and language models. From the foundational principles of pretraining to the intricacies of seamless deployment on AWS, this topic unveils powerful strategies that propel your models into the future. Immerse yourself in the synergy of Python's prowess and AWS infrastructure, unlocking the full potential of cutting-edge technologies for a seamless and impactful model deployment experience.
| Author | : Shivkumar V. Iyer |
| Publisher | : Springer Nature |
| Total Pages | : 217 |
| Release | : 2023-11-18 |
| Genre | : Technology & Engineering |
| ISBN | : 3031414055 |
This book provides a concise introduction to switching strategies for power electronics. It provides an in-depth examination of this one concept giving a newcomer a complete immersive experience which has both the depth that is needed to gain confidence yet is simple to understand. The authors examine the basic operation of power electronic systems from scratch and with the help of simulations, how these systems can be constructed. The approach used treats power electronics similar to puzzles and rather than merely presenting them and describing how they work, explore why they came to have the construction they have, and how they could potentially be modified. The authors make extensive use of simulations, with every theory and every result accompanied by a simulation. All simulations are performed by the free and open source Python programming language and the free and open source circuit simulator Python Power Electronics.
| Author | : Tigran Petrosian |
| Publisher | : Quality Chess |
| Total Pages | : 392 |
| Release | : 2015-06-17 |
| Genre | : |
| ISBN | : 9781784830021 |
Tigran Petrosian is a titan of chess history. All agree he was a genius of strategy, defense and sacrifice, but didn t he take too many draws? Possibly so, but when Petrosian selected and annotated his best games, that flaw disappeared, leaving only brilliance and profound chess understanding. As Garry Kasparov said: "My games with the 9th World Champion broadened my understanding of chess. Had it not been for these two defeats, I would possibly not have reached the top in chess." This book is an English translation of a Russian classic that is a favorite of many grandmasters, including Mihail Marin and Levon Aronian. A literal translation of the Russian title might be 'The Strategy of Soundness' but Python Strategy is a better fit for Petrosian s more ambitious games. As another World Champion, Max Euwe, once wrote: "Petrosian is not a tiger that pounces on its prey, but rather a python that smothers its victim."
| Author | : Yves Hilpisch |
| Publisher | : O'Reilly Media |
| Total Pages | : 380 |
| Release | : 2020-11-12 |
| Genre | : Computers |
| ISBN | : 1492053325 |
Algorithmic trading, once the exclusive domain of institutional players, is now open to small organizations and individual traders using online platforms. The tool of choice for many traders today is Python and its ecosystem of powerful packages. In this practical book, author Yves Hilpisch shows students, academics, and practitioners how to use Python in the fascinating field of algorithmic trading. You'll learn several ways to apply Python to different aspects of algorithmic trading, such as backtesting trading strategies and interacting with online trading platforms. Some of the biggest buy- and sell-side institutions make heavy use of Python. By exploring options for systematically building and deploying automated algorithmic trading strategies, this book will help you level the playing field. Set up a proper Python environment for algorithmic trading Learn how to retrieve financial data from public and proprietary data sources Explore vectorization for financial analytics with NumPy and pandas Master vectorized backtesting of different algorithmic trading strategies Generate market predictions by using machine learning and deep learning Tackle real-time processing of streaming data with socket programming tools Implement automated algorithmic trading strategies with the OANDA and FXCM trading platforms
| Author | : Leon Thurner |
| Publisher | : kassel university press GmbH |
| Total Pages | : 222 |
| Release | : 2018-06-25 |
| Genre | : |
| ISBN | : 3737605386 |
This thesis introduces a comprehensive methodology for the automation of the strategic power system planning process in the medium voltage level. The methodology takes the predicted development of load and distributed generation as well as the age structure of the components into account. Target grid structures are computed with a heuristic search that considers constraints for the grid topology, power flow parameters in normal as well as contingency operation, fault currents and service reliability. The implementation is based on the newly presented open source power systems analysis tool pandapower, which allows grid modelling and analysis with a high degree of automation. The developed methodology is applied to three real case study grids from different power system operators. The structural optimization leads to a reduction of investment and operational costs within the planning horizon of up to 56% in the target grids compared to the present grid structures. The successful application of the developed method to a diverse set of case studies demonstrates its general applicability in realistic planning problems.
| Author | : Bhagvan Kommadi |
| Publisher | : Orange Education Pvt Ltd |
| Total Pages | : 302 |
| Release | : 2024-07-12 |
| Genre | : Computers |
| ISBN | : 8197256209 |
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
| Author | : Hannah Stepanek |
| Publisher | : Apress |
| Total Pages | : 190 |
| Release | : 2020-06-05 |
| Genre | : Computers |
| ISBN | : 1484258398 |
Understand and implement big data analysis solutions in pandas with an emphasis on performance. This book strengthens your intuition for working with pandas, the Python data analysis library, by exploring its underlying implementation and data structures. Thinking in Pandas introduces the topic of big data and demonstrates concepts by looking at exciting and impactful projects that pandas helped to solve. From there, you will learn to assess your own projects by size and type to see if pandas is the appropriate library for your needs. Author Hannah Stepanek explains how to load and normalize data in pandas efficiently, and reviews some of the most commonly used loaders and several of their most powerful options. You will then learn how to access and transform data efficiently, what methods to avoid, and when to employ more advanced performance techniques. You will also go over basic data access and munging in pandas and the intuitive dictionary syntax. Choosing the right DataFrame format, working with multi-level DataFrames, and how pandas might be improved upon in the future are also covered. By the end of the book, you will have a solid understanding of how the pandas library works under the hood. Get ready to make confident decisions in your own projects by utilizing pandas—the right way. What You Will Learn Understand the underlying data structure of pandas and why it performs the way it does under certain circumstancesDiscover how to use pandas to extract, transform, and load data correctly with an emphasis on performanceChoose the right DataFrame so that the data analysis is simple and efficient.Improve performance of pandas operations with other Python libraries Who This Book Is ForSoftware engineers with basic programming skills in Python keen on using pandas for a big data analysis project. Python software developers interested in big data.
| Author | : Vincent Bisette |
| Publisher | : Independently Published |
| Total Pages | : 0 |
| Release | : 2024-05-27 |
| Genre | : Computers |
| ISBN | : |
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!
| Author | : Daniel Zingaro |
| Publisher | : No Starch Press |
| Total Pages | : 392 |
| Release | : 2021-06-29 |
| Genre | : Computers |
| ISBN | : 1718501331 |
Learn to Code by Solving Problems is a practical introduction to programming using Python. It uses coding-competition challenges to teach you the mechanics of coding and how to think like a savvy programmer. Computers are capable of solving almost any problem when given the right instructions. That’s where programming comes in. This beginner’s book will have you writing Python programs right away. You’ll solve interesting problems drawn from real coding competitions and build your programming skills as you go. Every chapter presents problems from coding challenge websites, where online judges test your solutions and provide targeted feedback. As you practice using core Python features, functions, and techniques, you’ll develop a clear understanding of data structures, algorithms, and other programming basics. Bonus exercises invite you to explore new concepts on your own, and multiple-choice questions encourage you to think about how each piece of code works. You’ll learn how to: Run Python code, work with strings, and use variables Write programs that make decisions Make code more efficient with while and for loops Use Python sets, lists, and dictionaries to organize, sort, and search data Design programs using functions and top-down design Create complete-search algorithms and use Big O notation to design more efficient code By the end of the book, you’ll not only be proficient in Python, but you’ll also understand how to think through problems and tackle them with code. Programming languages come and go, but this book gives you the lasting foundation you need to start thinking like a programmer.
