The Ultimate Guide t0 Python Programming (Free E-book)

Python Programming - Free Ebook

Python is undoubtedly one of the most popular programming languages used for data analysis. With a vast collection of libraries, Python & its libraries are used in almost 90% of companies worldwide.

While other languages like R, Scala, and Java are used to perform data analysis, the most preferred programming language is Python. Want to compare Python with R programming language? read our article:

Python Vs R: Which Is Better For Data Science?

When we talk about data analytics, Python libraries like NumPy and Pandas are used by companies to perform tasks like numerical data analysis, data mining & cleaning. For data visualization, Python libraries like Matplotlib and Seaborn are used.

If you’re from a non-tech background and don’t have any idea about programming languages, don’t worry about it. We are talking about Python mainly because it is the easiest programming language to learn in the 21st century.

Whether you’re from a tech or non-tech educational background, there are no prerequisites to start with Python. If you’re interested in learning Python for Data Analysis, you can explore this amazing certification program by Console Flare that trains you in Python programming from scratch and make you ready for the job profile of a Data Analyst.

Python Programming Free E-Book

Before entering into data analytics, you must know the basic Python programming concepts. In this article, we’re going to share with you a Free E-book where you can learn all the basic concepts of Python programming in 5 minutes.

Python programming consists of some basic functions. These functions are:

  • Data Types
  • Variables
  • User Input
  • Loops
  • Functions

Python Programming (Free E-book)

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If you have prior knowledge of Python programming and want to move to data science, you can start by joining a FREE Demo Class conducted by Console Flare where you get guidance from professionals from top companies like Microsoft, Cyient, Mastercard, and many more.

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