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Applied Python for Scientists and Engineers Training


Applied Python for Scientists and Engineers Training provides in-depth knowledge of Applied Python for professionals who have a basic understanding of Python Programming.

  • Category : Python

Course Price : $2495 Per Participant

Course Description

Applied Python for Scientists and Engineers Training provides in-depth knowledge of Applied Python for professionals who have a basic understanding of Python Programming.

This technical course helps professionals learn and master the critical elements of Python Programming and utilize its features for smooth mathematical and scientific computing. 

It covers Fundamental Python Concepts and improves your scripting skills needed to master module and class designing, profile and benchmarking, NumPy Array Manipulation, JSON, and XML Processing, PIL Image Manipulation and other core concepts.

Our enterprise training program is ideal for organizations and companies. This program is specially designed to help professionals develop a better understanding of critical modules of Python Programming for Engineers and Scientists.

With this course, your Python programming skills will improve, and you will be able to build credibility in the market.

It contains all the main topics, making it suitable for individuals preparing for Applied Data Science with Python Certification.

Microsoft Course Microsoft Course


experience experience

Years of Experience

learners learners

Global Learners

What you will learn

  • green-tick Create and run basic programs
  • green-tick Design and code modules and classes
  • green-tick Implement and run unit tests
  • green-tick Use benchmarks and profiling to speed up programs
  • green-tick Process XML and JSON
  • green-tick Manipulate arrays with NumPy
  • green-tick Get a grasp of the diversity of sub packages that make up scipy
  • green-tick Use iPython notebooks for ad hoc calculations, plots, and what-if?
  • green-tick Manipulate images with PIL
  • green-tick Solve equations with sympy


  • There are no programming prerequisites, programming experience is helpful. 

Who should attend this course?

  • Non-object oriented developers looking to apply Python to their scientific or engineering related job roles.


Oops! For this course, there are currently no public schedules available. Clicking on "Notify Me" will allow you to express your interest.

For dates, times, and location customization of this course, get in touch with us.

You can also speak with a learning consultant by calling 800-961-0337.


  • About Python
  • Starting Python
  • Using the interpreter
  • Running a Python script
  • Python scripts on UNIX/Windows
  • Using the Spyder editor
  • Using variables
  • Built-in functions
  • Strings
  • Numbers
  • Converting among types
  • Writing to the screen
  • String formatting
  • Command line parameters
  • About flow control
  • White space
  • Conditional expressions (if,else)
  • Relational and Boolean operators
  • While loops
  • Alternate loop exits
  • About sequences
  • Lists and tuples
  • Indexing and slicing
  • Iterating through a sequence
  • Sequence functions, keywords, and operators
  • List comprehensions
  • Generator expressions
  • Nested sequences
  • File overview
  • Opening a text file
  • Reading a text file
  • Writing to a text file
  • Raw (binary) data
  • Creating dictionaries
  • Iterating through a dictionary
  • Creating sets
  • Working with sets
  • Defining functions
  • Parameters
  • Variable scope
  • Returning values
  • Lambda functions
  • Syntax errors
  • Exceptions
  • Using try/catch/else/finally
  • Handling multiple exceptions
  • Ignoring exceptions
  • The O module
  • Environment variables
  • Launching external commands
  • Walking directory trees
  • Paths, directories, and filenames
  • Working with file systems
  • Dates and times
  • Small Pythonisms
  • Lambda functions
  • Packing and unpacking sequences
  • List Comprehensions
  • Generator Expressions
  • Initialization code
  • Namespaces
  • Executing modules as scripts
  • Documentation
  • Packages and name resolution
  • Naming conventions
  • Using imports
  • Defining classes
  • Constructors
  • Instance methods and data
  • Attributes
  • Inheritance
  • Multiple inheritance
  • Analyzing programs with pylint
  • Creating and running unit tests
  • Debugging applications
  • Benchmarking code
  • Profiling applications
  • Using ElementTree
  • Creating a new XML document
  • Parsing XML
  • Finding by tags and XPath
  • Parsing JSON into Python
  • Parsing Python into JSON
  • iiPython basics
  • Terminal and GUI shells
  • Creating and using notebooks
  • Saving and loading notebooks
  • Ad hoc data visualization
  • numpy basics
  • Creating arrays
  • Indexing and slicing
  • Large number sets
  • Transforming data
  • Advanced tricks
  • What can scipy do?
  • Most useful functions
  • Curve fitting
  • Modeling
  • Data visualization
  • Statistics
  • Clustering
  • Physical and mathematical Constants
  • FFTs
  • Integral and differential solvers
  • Interpolation and smoothing
  • Input and Output
  • Linear Algebra
  • Image Processing
  • Distance Regression
  • Root-finding
  • Signal Processing
  • Sparse Matrices
  • Spatial data and algorithms
  • Statistical
  • FAQs

    We conduct online instructor led virtual training all across the United States and Canada.

    Yes, you will get a certificate after successfully passing the 4850 Advanced Python Programming exam that can be scheduled after completing four days online training.

    During this five days career booster course, you learn Numpy nuts and bolts, Making exhibits, Ordering and cutting, Vast number sets, Changing information, Propelled traps etc. For more details, plz check the 4870 Applied Python for Scientists and Engineers course training syllabus or talk with our online counselor.

    Our highly trained and experienced online instructors help you get and install Python program and to apply the learned skills in lab assignments; Applied Python for Scientists and Engineers is 50:50 -lab to lecture course.

    Course Details

    • skill skill-green
      Skill Level: Intermediate
    • enroll enroll-green
      Enrolled: 1586
    • duration duration green
      Duration: 4 Days

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