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Course description

Python is a demanding programming language and can be used for software development, system scripting, web development. It can connect the database systems to read and modify files. With Python, you can handle even the big data as well as perform complex mathematics. You can use Python for production-ready software development and rapid prototyping. It works on different platforms such as Mac, Linux, Pi, Windows, Raspberry, etc. Python is an amazing programming language treated in an object-oriented way, procedural way, or functional way. Almost all the tech-giant companies such as Amazon, Instagram, Uber, Google, Facebook, Dropbox, etc.

  • 48 hours of instructor-led training
  • 35 contact hours/PDUs
  • 8 industry case studies, 20 industry-based scenarios
  • 29 hours of high quality of e-learning content
  • 6 hands-on project, 7 simulation test paper(200 question each)

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Course Preview

  • 1.1 Environment Setup
  • 1.2 Basic Syntax
  • 1.3 Variable Types
  • 1.4 Basic Operators
  • 2.1 Decision Making
  • 2.2 Loops
  • 3.1 Numbers
  • 3.2 Strings
  • 3.3 Lists
  • 3.4 Tuples
  • 3.5 Dictionary
  • 3.6 Date & Time
  • 4.1 Functions
  • 4.2 Modules
  • 5.1 Files I/O
  • 5.2 Exceptions
  • 6.1 Numpy
  • 6.2 NumPy – Ndarray Object
  • 6.3 NumPy – Data Types
  • 6.4 NumPy – Array Attributes
  • 6.5 NumPy – Array Creation Routines
  • 6.6 NumPy – Array from Existing Data
  • 6.7 Array From Numerical Ranges
  • 6.8 NumPy – Indexing & Slicing
  • 7.1 NumPy – Advanced Indexing
  • 7.2 NumPy – Broadcasting
  • 7.3 NumPy – Iterating Over Array
  • 7.4 NumPy – Array Manipulation
  • 7.5 NumPy – Binary Operators
  • 7.6 NumPy – String Functions
  • 7.8 NumPy – Mathematical Functions
  • 7.9 NumPy – Arithmetic Operations
  • 7.10 NumPy – Statistical Functions Sort, Search & Counting Functions
  • 7.11 NumPy – Byte Swapping
  • 7.12 NumPy – Copies & Views
  • 7.13 NumPy – Matrix Library
  • 7.14 NumPy – Linear Algebra
  • 8.1 Matplot Lib
  • 9.1 Line Chart
  • 9.2 Pie Chart
  • 9.3 Bar Chart
  • 9.4 Scatter Chart

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Reviews

Ahana Das

Learning Python from here is a must if you are an enthusiast like me. I genuinely prefer this institution as a top notch choice for learning Python. The faculty staff is excellent and will always guide you through the course.

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