Learning Sql And Python
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SQL and Python Programming
Author: Bryan Johnson
language: en
Publisher: Independently Published
Release Date: 2019-09-21
★★★Buy the paperback version of this book and get the kindle version FREE★★★ Within this book, you will find 2 Books IN 1.... SQL Programming: The Ultimate Step By Step Guide to Learning SQL for Total Beginners, as well as Python Programming: A Pragmatic Approach To Programming Python for Total Beginners. Between both books, you will gain an incredible insight into the world of both the SQL and Python programming languages, and you will really be set up for success with learning to code! Below are the specifics of what each book contains, starting with Python, and then SQL: Are you interested in learning how to write your own codes? Have you always been interested in seeing how coding works, and learning more about how certain programs work? Do technology and computers interest you but you just don't know where to start? If this sounds like something that interests you, then the Python coding language may be the right option for you. The Python language is one of the preferred coding languages for you to learn how to use. It has a lot of power, an extensive library, the capabilities to be expanded to work with other programs and more, and a great community to help answer your questions and guide you along your journey to learning coding. As a coding language designed for everyone, even beginners, there is just so much that you are able to do when working with the Python language. As a business, it is likely that you will need to hold onto a lot of data. Some of this data is going to be about your customers, like their name, address, credit card information, and more. And some of that information is going to be about your products and services. You want to make sure that any and all information that your business has will stay organized, secure, and easy to sort through when it is needed. This is where the SQL language is going to come into play. It can bring out the queries that you need in no time and can help you to keep the information organized so that you can find it when it is needed. Some of the different topics that we are going to explore when it comes to using the SQL database includes: ★The basics of SQL. ★Some of the commands that you should use with this language. ★Understanding some of the different data types that can show up. ★How to manage the object in SQL. ★Doing your own searches and seeing how the results come up.; ★Relational database concepts. ★How to define some of the data that you need in SQL. ★Working with queries, views, and indexing. ★Database security ★How to use all of this in real-world situations. There is so much that you are able to enjoy when it comes to working with the SQL database. You will be able to finally keep all of your customer and product information stored properly, and you and the customer can pull it up as soon as you need. When you are ready to get started with the SQL database, make sure to read this book to help you get started. Between both books, you have everything you need to get started with programming SQL and Python at a very high level. Scroll up to the top of this page and click the Buy Now Button and begin writing your own codes in SQL and Python today!
Python for Finance
Author: Yves J. Hilpisch
language: en
Publisher: "O'Reilly Media, Inc."
Release Date: 2018-12-05
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.
SQL for Data Scientists
Author: Renee M. P. Teate
language: en
Publisher: John Wiley & Sons
Release Date: 2021-08-17
Jump-start your career as a data scientist—learn to develop datasets for exploration, analysis, and machine learning SQL for Data Scientists: A Beginner's Guide for Building Datasets for Analysis is a resource that’s dedicated to the Structured Query Language (SQL) and dataset design skills that data scientists use most. Aspiring data scientists will learn how to how to construct datasets for exploration, analysis, and machine learning. You can also discover how to approach query design and develop SQL code to extract data insights while avoiding common pitfalls. You may be one of many people who are entering the field of Data Science from a range of professions and educational backgrounds, such as business analytics, social science, physics, economics, and computer science. Like many of them, you may have conducted analyses using spreadsheets as data sources, but never retrieved and engineered datasets from a relational database using SQL, which is a programming language designed for managing databases and extracting data. This guide for data scientists differs from other instructional guides on the subject. It doesn’t cover SQL broadly. Instead, you’ll learn the subset of SQL skills that data analysts and data scientists use frequently. You’ll also gain practical advice and direction on "how to think about constructing your dataset." Gain an understanding of relational database structure, query design, and SQL syntax Develop queries to construct datasets for use in applications like interactive reports and machine learning algorithms Review strategies and approaches so you can design analytical datasets Practice your techniques with the provided database and SQL code In this book, author Renee Teate shares knowledge gained during a 15-year career working with data, in roles ranging from database developer to data analyst to data scientist. She guides you through SQL code and dataset design concepts from an industry practitioner’s perspective, moving your data scientist career forward!