
Pre-Owned Basic Python in Finance: How to Implement Financial Trading Strategies and Analysis using Python (Paperback) 1699920257 9781699920251
Key item features
- Title: Basic Python in Finance: How to Implement Financial Trading Strategies and Analysis using Python
- Book Format: Paperback
- ISBN10: 1699920257
- EAN: 9781699920251
- Genre: BUSINESS & ECONOMICS / Finance / Financial Engineering
- Author: Mather, Bob
- Pre-Owned Condition- Pages can include limited notes and highlighting, and the copy can include 'From the library of' labels or previous owner inscriptions. Accessories such as CD, codes, toys, may not be included.
Specs
- Book formatPaperback
- Fiction/nonfictionNon-Fiction
- Publication dateOctober, 2019
- Pages200
- SubgenreBusiness & Economics
- Number in series1
- Free shipping
Free 30-day returns
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Product details
Python is the answer.
While looking to gain summarize our knowledge on the subject, we realized that there was a lot of information available in books and the internet. However, there seemed to be too much information. There were 500-page textbooks on the subject that had very little practical use. They were pretty useless for beginners just like a dictionary is useless for anyone trying to learn a language. All these books had tons of theory with no step-by-step guide.
There were a whole bunch of other blogs that had basic programming information with no relation to financial strategies.
With this in mind, this book starts you off with a step-by-step guide to install Python on your computer; and plot/visualize relevant financial data. Later in the book, you can build on your basic knowledge to learn more about advanced financial analysis and trading strategies to move forward. This book is what you've been looking for.
- 5 Reasons why Python is the best programming language for implementing financial trading strategies
- 4 Basic Trading Strategies for Success that most people have forgotten
- The Importance of Time Series Data in Trading Analysis
- Step-by-Step Guide to Setting up your Python workspace
- How to Import Time Series Data from Global Databases into Python
- 4 Different Methods and Examples to Analyze Data with Python Pandas
- The Best Python Methods to Visualize Data to make Effective Decisions
- 4 Common Python Financial Analysis tools to decide which securities to invest in
- 5 Trading Strategies to forecast market trends
Even if you have never touched a computer in your life so far, you will gain a lot from this book.
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- Title: Basic Python in Finance: How to Implement Financial Trading Strategies and Analysis using Python
- Book Format: Paperback
- ISBN10: 1699920257
- EAN: 9781699920251
- Genre: BUSINESS & ECONOMICS / Finance / Financial Engineering
- Author: Mather, Bob
- Pre-Owned Condition- Pages can include limited notes and highlighting, and the copy can include 'From the library of' labels or previous owner inscriptions. Accessories such as CD, codes, toys, may not be included.
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Pre-Owned: Good
What is the Walmart Pre-Owned Program?
Walmart Pre-Owned allows you to find previously owned, well-cared-for items from Walmart’s trusted & performance-managed sellers. Shopping Pre-Owned allows you to bring home the best-quality picks at even lower prices, in addition to extending the life of an item & reducing waste. Find your favorites & shop a range of conditions in every category.
Why Walmart Pre-Owned?

Trusted sellers & quality items
Each Pre-Owned item listed comes from Walmart’s trusted performance-managed sellers, to ensure you get quality items.
Quality you can afford
Save even more on top brands & your most-loved items.

30-day free returns
Don’t love it? Most items offer a 30-day* free return policy, for added peace of mind.

Sustainability
Shopping Pre-Owned helps in extending the life of an item & reducing waste.
Product image for illustration purposes only. The item you receive may vary from the image in minor ways, such as slight differences in appearance, color, and/or design. *Exceptions apply during holiday season, and on certain electronics, collectibles, and jewelry.
