If you want to learn Python Programming in one week (or less) and learn it well, with useful applications to Data Analysis, then keep reading.
Python is considered to be among the most beloved programming languages in any circle of programmers. Software engineers, hackers, and Data Scientists alike are in love with the versatility that Python has to offer. Besides, the Object-Oriented feature of Python coupled with its flexibility is also one of the major attractions for this language.
That's why one of the best real-world applications is Data Analysis.
Data is the future. The world of technology as we know it is evolving towards an open-source platform where people share ideas freely. This is seen as the first step towards the decentralization of ideas and eliminating unnecessary monopolies. Therefore, the data, tools, and techniques used in the analysis are easily available for anyone to interpret data sets and get relevant explanations.
This bundle explains every single detail that you must know to start using Python and underlines the main steps that are needed to correctly implement Data Analysis.
In book one, PYTHON FOR BEGINNERS, you will learn about:
How to install PythonWhat are the different Python Data Types and VariablesBasic Operators of Python LanguageData Structures and FunctionsConditional and Loops in PythonObject-Oriented Programming (OOP), Inheritance and PolymorphismEssential Programming Tools and Exception HandlingWorking with FilesAn application to Decision TreesAnd Much MoreIn book two, PYTHON FOR DATA ANALYSIS, you will learn:
What Data Analysis is all about and why businesses are investing in this sectorThe 5 steps of a Data AnalysisThe 7 Python libraries that make Python one of the best choices for Data AnalysisPandas, Jupyter and PyTorchNeural NetworkHow Data Visualization and Matplotlib can help you to understand the data you are working with.Some of the main industries that are using data to improve their business with 14 real-world applicationsAnd So Much MoreWhere most books about Python programming are theoretical and have few or little practical examples, this book provides lots of simple, step-by-step examples and illustrations that are used to underline key concepts and help improve your understanding.
Furthermore, topics are carefully selected to give you broad exposure to Python, while not overwhelming you with too much information. Also, unlike the majority of books, the outputs of ALL the examples are provided immediately so you do not have to wait till you have access to your computer to test the examples.
This book takes the time to explain the basic concepts and all the necessary steps to correctly implement Data Analysis, including Data Visualization and providing practical examples and simple coding scripts.
Even if you have never coded before, this is the perfect guide because it breaks down complex concepts into simple steps and in a concise and simple way that fits well with beginners, so that you can easily master the Python language. Regardless of your previous experience, you will learn the steps of Data Analysis, how to implement them, and the most important real-world applications.
Become a Master of Python and Data Analysis today
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