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Showing posts with label Python ebooks. Show all posts
Showing posts with label Python ebooks. Show all posts

30 November, 2020

Beyond the Basic Stuff with Python

Beyond the Basic Stuff with Python

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Author(s): Al Sweigart

Publisher: No Starch Press, Year: 2020


You’ve completed a basic Python programming tutorial or finished Al Sweigart’s best selling Automate the Boring Stuff with Python. What’s the next step toward becoming a capable, confident software developer?

Welcome to Beyond the Basic Stuff with Python. More than a mere collection of advanced syntax and masterful tips for writing clean code, you’ll learn how to advance your Python programming skills by using the command line and other professional tools like code formatters, type checkers, linters, and version control. Sweigart takes you through best practices for setting up your development environment, naming variables, and improving readability, then tackles documentation, organization and performance measurement, as well as object-oriented design and the Big-O algorithm analysis commonly used in coding interviews. The skills you learn will boost your ability to program—not just in Python but in any language.

You’ll learn:

Coding style, and how to use Python’s Black auto-formatting tool for cleaner code
Common sources of bugs, and how to detect them with static analyzers
How to structure the files in your code projects with the Cookiecutter template tool
Functional programming techniques like lambda and higher-order functions
How to profile the speed of your code with Python’s built-in timeit and cProfile modules
The computer science behind Big-O algorithm analysis
How to make your comments and docstrings informative, and how often to write them
How to create classes in object-oriented programming, and why they’re used to organize code
Toward the end of the book you’ll read a detailed source-code breakdown of two classic command-line games, the Tower of Hanoi (a logic puzzle) and Four-in-a-Row (a two-player tile-dropping game), and a breakdown of how their code follows the book’s best practices. You’ll test your skills by implementing the program yourself.

Of course, no single book can make you a professional software developer. But Beyond the Basic Stuff with Python will get you further down that path and make you a better programmer in the process as you learn to write readable code that’s easy to debug and perfectly Pythonic.

Author Bio
Al Sweigart is a celebrated software developer, creator of a wildly popular Udemy Python course, and a programming teacher. A fellow at the Python Software Foundation, Sweigart is also the author of three other Python books with No Starch Press, including the worldwide bestseller Automate the Boring Stuff with Python.
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29 November, 2020

Python for Finance Cookbook: Over 50 recipes for applying modern Python libraries to quantitative finance to analyze data

Python for Finance Cookbook: Over 50 recipes for applying modern Python libraries to quantitative finance to analyze data

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Author(s): Eryk Lewinson

Publisher: Packt Publishing, Year: 2020

Solve common and not-so-common financial problems using Python libraries such as NumPy, SciPy, and pandas

Key Features
• Use powerful Python libraries such as pandas, NumPy, and SciPy to analyze your financial data
• Explore unique recipes for financial data analysis and processing with Python
• Estimate popular financial models such as CAPM and GARCH using a problem-solution approach

Book Description
Python is one of the most popular languages used with a huge set of libraries in the financial industry.
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, and 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 Fama-French's 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 finance domain. You'll also learn how to solve 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 models and handle class imbalance. Finally, you'll focus on solving problems in finance with deep learning using PyTorch.
By the end of this book, you'll have learned how to effectively analyze financial time series using a recipe-based approach.

What you will learn
• Download and preprocess financial data from different sources
• Backtest the performance of automatic trading strategies in a real-world setting
• Create financial econometrics models in Python and interpret their results
• Use Monte Carlo simulations for a variety of tasks
• Improve the performance of financial models with the latest Python libraries
• Apply machine learning and deep learning techniques to solve different financial problems
• Understand the different approaches used to model financial time series data

Who 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.
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28 November, 2020

Automate the Boring Stuff with Python, 2nd Edition

26 November, 2020

Python For Data Analysis: A Beginner’s Guide to Learn Data Analysis with Python Programming

Free Course Learn Python Programming Masterclass 2020 Full Link Google Driver


Free Course Learn Python Programming Masterclass 2020 Full Link Google Driver 


Learn Python Programming Masterclass Description


  • You’ve either already got it or it’s FREE. Here’s the checklist:
  • A computer – Windows, Mac, and Linux are all supported. Setup and installation instructions are included for each platform.
  • Your enthusiasm to learn this go-to programming language. It’s a valuable lifetime skill which you can’t un-learn!
  • Everything else needed to start programming in Python is already included in the course.

What you’ll learn

  • Have a fundamental understanding of the Python programming language.
  • Have the skills and understanding of Python to confidently apply for Python programming jobs.
  • Acquire the pre-requisite Python skills to move into specific branches – Machine Learning, Data Science, etc..
  • Add the Python Object-Oriented Programming (OOP) skills to your résumé.
  • Understand how to create your own Python programs.
  • Learn Python from experienced professional software developers.
  • Understand both Python 2 and Python 3.

Who this course is for:

  • Beginners with no previous programming experience looking to obtain the skills to get their first programming job.
  • Anyone looking to to build the minimum Python programming skills necessary as a pre-requisites for moving into machine learning, data science, and artificial intelligence.
  • Existing programmers who want to improve their career options by learning the Python programming language.
  • If you are an expert Python programmer with extensive knowledge, and many years’ experience, then this course is probably not for you.
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