Python for Data Analysis

Are you looking for a book with in-depth information on data analysis with Python? Do you want to know the basics of programming and know more in a short time? Know the data analysis with an easy and accessible programming language?

"Python for Data Analysis" is the book that will give you the information you need to access the basics of programming related to data analysis with Python.

Python has transitioned over the years to provide accurate solutions for the day-to-day problems that face society. More programmers are getting into the programming field to improve what has already been there. However, that process requires dedication and self-motivation. Programming is not for the faint-hearted, but with the right mindset, you can achieve more within a short duration. All you need to know are the basics of Python programming to begin the coding journey. This book combines information that is crucial in data analysis when using Python.

The area of computer programming is now a popular discipline among many computer users. The emergence of this field as a popular area has seen the explosion of various software programs that can assist in data analysis and interpretation. At the moment, there exist different computer languages which can support a computer user to handle data through creation, storage, and recovery of information. The impact of these programs is to substitute the standard forms of analysis that are tedious and time-consuming. The plans have various attributes that enable users to explain data and create theories. This means that these programs are robust and reliable in conducting qualitative data analysis.

The computer qualitative data analysis techniques, on the other hand, are liked by many because of their simplicity and have outstanding attributes that assist in data analysis. These attributes save time, are simple to study and understand and apply fewer finances when compared to programming languages.

You will learn:

• Definition of Python programming as well as the skills that learners should possess for a successful adventure.
• The History of Python programming
• How to download and install Python
• The definition of Python variables and the crucial naming sequence that programmers should be well conversant with.
• Types of variables and data variables in Python
• Computer data management and analysis
• Top 10 Python Libraries
• …and more.

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