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Python Programming and Data Exploration in Python Institute in Varanasi

Get Ready for New age job roles by learning the programming language that is most popular for Data Analytics – Python.

Python is one of the most fastest-growing programming languages in the world driven by its application in machine learning. This programme helps learners   gain a hands-on understanding of python programming along with its application for data analysis and visualization, with the use of machine learning algorithms that are required in the data analytics industry.

Learning Python

Before getting started, you may want to find out which IDEs and text editors are tailored to make Python editing easy, browse the list of introductory books, or look at code samples that you might find helpful.
There is a list of tutorials suitable for experienced programmers on the BeginnersGuide/Tutorials page. There is also a list of resources in other languages which might be useful if English is not your first language.
The online documentation is your first port of call for definitive information. There is a fairly brief tutorial that gives you basic information about the language and gets you started. You can follow this by looking at the library reference for a full description of Python’s many libraries and the language reference for a complete (though somewhat dry) explanation of Python’s syntax. If you are looking for common Python recipes and patterns, you can browse the ActiveState Python Cookbook

Learn The Basics

  • Hello, World!
  • Variables and Types
  • Lists
  • Basic Operators
  • String Formatting
  • Basic String Operations
  • Conditions
  • Loops
  • Functions
  • Classes & Objects
  • Dictionaries
  • Modules and Packages

Data Science Tutorials

  • Numpy Arrays
  • Pandas Basics

Advanced Tutorials

  • Generators
  • List Comprehensions
  • Lambda functions
  • Multiple Function Arguments
  • Regular Expressions
  • Exception Handling
  • Sets
  • Serialization
  • Partial functions
  • Code Introspection
  • Closures
  • Decorators
  • Map, Filter, Reduce

Advanced Tutorials

  • DataCamp has tons of great interactive Python Tutorials covering data manipulation, data visualization, statistics, machine learning, and more
  • Read Python Tutorials and References course from After Hours Programming