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About this course

Python is an interpreted, object-oriented, high-level programming language with dynamic semantics. Its high-level built in data structures, combined with dynamic typing and dynamic binding, make it very attractive for Rapid Application Development, as well as for use as a scripting or glue language to connect existing components together. Python's simple, easy to learn syntax emphasizes readability and therefore reduces the cost of program maintenance. Python supports modules and packages, which encourages program modularity and code reuse. The Python interpreter and the extensive standard library are available in source or binary form without charge for all major platforms

FAQs
Can I just enroll in a single course? I'm not interested in the entire course

Yes, One can enroll for one particular day as well based on their interested topics. Topics details are listed under syllabus tab.

What is the refund policy?

We will refund the entire cost if candidate is not happy with training.

What background knowledge is necessary

We do not presume any kind of prior knowledge before starting this course. Candiate can opt this course without any prior knowledge.

Do I need to take the courses in a specific order

No, You can take this course at any point of time without having any prior knowledge.

Syllabus

This course is organized in such a way as to serve as an in depth knowledge of Python. We will introduce you to newer version of Python and improvements. Each topics will be covered in details with examples.

Module 1
Total Session: 6
Python Basics
  • Types
    30 minutes
  • Expressions and Variables
    30 minutes
  • String Operations
    30 minutes
  • Lab: String Operations
    30 minutes
  • Your first Program
    30 minutes
  • Lab: Write you first Python code!
    30 minutes
  • Tests
    10 Questions
Module 2
Total Session:6
Python Data Structures
  • Lists and Tuples
    30 minutes
  • Lab: Lists and Tuples
    30 minutes
  • Sets
    30 minutes
  • Lab:Sets
    30 minutes
  • Dictionaries
    30 minutes
  • Lab: Dictionaries
    30 minutes
  • Tests
    10 Questions
Module 3
Total Session: 8
Python Programming Fundamentals
  • Conditions and Branching
    30 minutes
  • Lab: Conditions and Branching
    30 minutes
  • Loops
    30 minutes
  • Lab:Loops
    30 minutes
  • Functions
    30 minutes
  • Lab: Functions
    30 minutes
  • Objects and Classes
    30 minutes
  • Lab: Objects and Classes
    30 minutes
  • Tests
    10 Questions
Module 4
Total Session: 7
Working with Data in Python
  • Reading files with open
    30 minutes
  • Lab: Reading files with open
    30 minutes
  • Writing files with open
    30 minutes
  • Lab:Writing files with open
    30 minutes
  • Loading data with Pandas
    30 minutes
  • Working with and Saving data with Pandas
    30 minutes
  • Lab: Loading data and Viewing data with Pandas
    30 minutes
  • Tests
    10 Questions
Module 5
Total Session: 4
Working with Numpy Arrays
  • Numpy 1D Arrays
    30 minutes
  • Lab: Numpy 1D Arrays
    30 minutes
  • Numpy 2D Arrays
    30 minutes
  • Lab: Numpy 2D Arrays
    30 minutes
  • Loading data with Pandas
    30 minutes
  • Working with and Saving data with Pandas
    30 minutes
  • Lab: Loading data and Viewing data with Pandas
    30 minutes
  • Tests
    10 Questions