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PYTHON: 2 BOOKS IN 1: Dive into Data Science and learn how to master Python Programming and other Coding Languages in use today - Softcover
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Inhaltsangabe
Why should you start learning Python? Is Python the only way to go if you are interested in programming?
Python programming has become a must-learn skill in the Data Science domain.
It has evolved as the most preferred programming language for data-driven development because it is suitable for many data science tasks and is easy to learn compared to other programming languages.
In short, Python is the closest programming language to fit the goal of a beginner and a great starting place.
However, Python is not the silver bullet for all problems. It certainly fits good for many purposes but it less fits for others.
Being a good programmer means knowing that no single language can tackle every task. That is why knowing what kinds of advantages different programming languages can provide is certainly a good knowledge to have.
This bundle aims to help by guiding you through the potentials of Python and giving you an overview of other recommended coding languages in use today so that you can pick the one that best fits your use case. Included in this bundle are:
1) Data Science from Scratch with Python
- The Python programming environment;
- Basics of data analysis in Python;
- What is a Data Scientist?
- Functionality and features used for data science;
- Data manipulation using the Python Pandas;
- Models such as neural networks, plotting and clustering;
2) Python Programming for Beginners
- The reasons why it is important to study coding today;
- The features that make Python such a powerful language;
- The fundamentals and techniques of Python and other most common coding languages (such as Java, PHP, C++), the best practices that coders and developers abide by when coming up with codes.
Take your programming language skills to the next level, buy this book and get started!
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