Learn Python Programming for Beginners–The Ultimate and Complete Tutorial to Easily Get the Python Intermediate Level with Step-by-Step Practical Exercise, to Code with Python Starting from Scratch.

Learning to code is essential to keep up with the times, increasing the opportunities that life has to offer you.

Whether you are a tech enthusiast, enterprising student, or entrepreneur, if you choose to learn Python you are making the right and winning choice.

Web development? Artificial intelligence? Automation and IoT? Python is all of this and more!

Python can be used as an effective choice in any application and project, be it small or large. This characteristic makes it encountered in any modern software development scenario.

Did you know that Python is one of the languages behind extremely popular services and websites like Instagram, YouTube, Reddit, and Mozilla?

You cannot enter the magic and rich IT world without knowing what Python is and how it works…

… and this incredibly exhaustive tutorial will give you all the knowledge and information you need to become a Python Pro!

In this book, you will:

• Clearly and Easily Understand What  Python Is and How It Works, starting from the instructions to correctly install it on your PC to show you how it runs and works.
• Discover Secret Tips and Tricks to Get Started with Python for Beginners to enhance your skills and help you with daily data science tasks. If you want to make your Python coding more efficient, do not miss these tips/tricks!
• Learn the Best Machine Learning Algorithms for Beginners with Coding Samples in Python; it is excellent for algorithmic design, as it is used extensively in data science and machine learning technologies.
• Get the Fundamentals of Python Data Structures to introduce you to object-oriented design and data structures using this popular programming language, and give you the necessary knowledge to do whatever you want with Python.
• Learn How Python Makes Decisions to Control Flow in Programming. It is crucial to control the program execution because, in real scenarios, the situations are full of conditions, and if you want your program to mimic the real world closer, then you need to transform those real-world situations into your program.
• … & Lot More!

For those new to programming, the number one priority is to sit in front of the screen and learn how to program as quickly as possible!

Python was designed not only to be simple to understand but also fun to use. You can create prototypes and mini-programs very quickly, to immediately experience real satisfaction.

It is thanks to this simplicity that it has gained not only a great deal of popularity but also a reputation as an “easy to learn language”.

Python Programming for Beginners will become your best friend in helping you enter the Python world as smoothly as possible; all you need to know and the support is right here at your fingertips.

You have only to click on the button below and…

Hands-on Data Science for Biologists using Python has been conceptualized to address the massive data handling needs of modern-day biologists. With the advent of high throughput technologies and consequent availability of omics data, biological science has become a data-intensive field. This hands-on textbook has been written with the inception of easing data analysis by providing an interactive, problem-based instructional approach in Python programming language.

The book starts with an introduction to Python and steadily delves into scrupulous techniques of data handling, preprocessing, and visualization. The book concludes with machine learning algorithms and their applications in biological data science. Each topic has an intuitive explanation of concepts and is accompanied with biological examples.

Features of this book:

• The book contains standard templates for data analysis using Python, suitable for beginners as well as advanced learners.
• This book shows working implementations of data handling and machine learning algorithms using real-life biological datasets and problems, such as gene expression analysis; disease prediction; image recognition; SNP association with phenotypes and diseases.
• Considering the importance of visualization for data interpretation, especially in biological systems, there is a dedicated chapter for the ease of data visualization and plotting.
• Every chapter is designed to be interactive and is accompanied with Jupyter notebook to prompt readers to practice in their local systems.

Other avant-garde component of the book is the inclusion of a machine learning project, wherein various machine learning algorithms are applied for the identification of genes associated with age-related disorders. A systematic understanding of data analysis steps has always been an important element for biological research. This book is a readily accessible resource that can be used as a handbook for data analysis, as well as a platter of standard code templates for building models.

Co-authored by two respected authorities on hedge funds and asset management, this implementation-oriented guide shows you how to employ a range of the most commonly used analysis tools and techniques both in industry and academia, for understanding, identifying and managing risk as well as for quantifying return factors across several key investment strategies. The book is also suitable for use as a core textbook for specialised graduate level courses in hedge funds and alternative investments.

The book provides hands-on coverage of the visual and theoretical methods for measuring and modelling hedge fund performance with an emphasis on risk-adjusted performance metrics and techniques. A range of sophisticated risk analysis models and risk management strategies are also described in detail. Throughout, coverage is supplemented with helpful skill building exercises and worked examples in Excel and VBA.

The book’s dedicated website, www.darbyshirehampton.com provides Excel spreadsheets and VBA source code which can be freely downloaded and also features links to other relevant and useful resources.

A comprehensive course in hedge fund modelling and analysis, this book arms you with the knowledge and tools required to effectively manage your risks and to optimise the return profile of your investment style.

Table of Contents

Chapter 1 The Hedge Fund Industry
Chapter 2 Major Hedge Fund Strategies
Chapter 3 Hedge Fund Data Sources
Chapter 4 Statistical Analysis
Chapter 5 Risk-Adjusted Return Metrics
Chapter 6 Asset Pricing Models
Chapter 7 Hedge Fund Market Risk Management