Brochure
Enquire- Introduction to Python
Create Arrays in Python NumPy - Learn Scientific Computing
BY
Eduonix
Gain the knowledge of fundamentals of Python and NumPy programming to work with array calculations, functions and ...Read more
Beginner
Online
₹ 299 1691
Quick Facts
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Medium of instructions
English
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Mode of learning
Self study
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Mode of Delivery
Video and Text Based
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Course overview
Create Arrays in Python NumPy - Learn Scientific Computing online course is designed for coding beginners since it begins with a thorough introduction to programming in Python, a popular coding language used by internet companies such as YouTube and Instagram. The course makes use of NumPy 1.12.0, the fundamental Python for scientific computing, and performs computations using NumPy arrays. Students learn about arithmetic functions, statistics, and polynomials with NumPy.
Create Arrays in Python NumPy - Learn Scientific Computing online certification is created by John Bura - Owner of Mammoth Interactive, Web & Game Developer and Instructor and offered by Eduonix, an online learning platform. Create Arrays in Python NumPy - Learn Scientific Computing syllabus covers the fundamentals as well as advanced concepts of Python programming and the NumPy library, such as variables, functions, statements, dictionaries, lists, loop, input & output, classes, attributes, error handling, and many more, and is accompanied by 22 hours of pre-recorded videos to allow students to learn at their own pace.
The highlights
- Self-paced course
- English videos with subtitles
- Pre-recorded video content
- 53 online lectures
- 30-day money-back guarantee
- Lifetime access
- Accessible on portable devices
Program offerings
- Self-paced course
- English videos with subtitles
- 22 hours of pre-recorded video content
- Online lectures
- 30-day money-back guarantee
- Lifetime access
- Accessible on portable devices
Course and certificate fees
Fees information
₹ 299 ₹1,691
certificate availability
No
Who it is for
What you will learn
Knowledge of python
Knowledge of numpy
After completing the Create Arrays in Python NumPy - Learn Scientific Computing online training, students will gain a thorough understanding of Python and NumPy from scratch. Students will be able to write Python codes and use the NumPy library to add functions to them. Students will be able to use loops to iterate through commands and deal with user input and output and file input and output, as well as develop games like tic-tac-toe and Blackjack in Python. In addition, students will learn about classes, attributes, methods, instancing, class inheritance, and working with expected and unexpected errors.
The syllabus
Introduction
Basics of Programming
- Variables
- Functions
- IfStatements
Lists
- Introduction to Lists
Loops
- Introduction to and examples using for loops
- Getting familiar with while loops
- Breaking and continuing in loops
- Making shapes with loops
- Nested loops and printing a tic-tac-toe field
Sets and Dictionaries
- Understanding Sets and Dictionaries
- An example for an inventory list
Input and Output
- Introduction and implementation of Input and Output
- Introduction to and Integrating File Input and Output
- An example for a tic-tac-toe game part 1
- An example of a tic-tac-toe game part 2
- An example writing participant data to file
- An example reading participant data from file
- Doing some simple statistics with participant data from file
Classes
- A first look at classes
- Inheritance and classes
- An example of classes using pets
- An example of classes using pets - dogs
- An example of classes using pets - cats
- Taking the pets example further and adding humans
Importing
- Introduction to importing and the random library
- Another way of importing and using lists with random
- Using the time library
- Introduction to the math library
- Creating a user guessing game with random
- Making the computer guess a random number
Project - Blackjack Game
- Blackjack game Part 1 - Creating and shuffling a deck
- Blackjack game Part 2 - Creating the Player Class
- Blackjack Game part 3 - Expanding the player class
- Blackjack Game part 4 - Implementing a bet and win
- Blackjack Game part 5 - Implementing the player moves
- Blackjack Game Part 6 - Running the game (Final)
Error handling
- Getting Started with Error Handling
Numpy
- Introduction
Numpy Arrays
- Creating and reshaping Numpy arrays
- Creating standard Numpy arrays
- Creating standard 2D arrays
- Attributes on Numpy arrays
- Resizing Arrays
Manipulating Numpy Arrays
- Writing an array to file and formatting strings
- Random Numbers
- Sorting in Numpy
Calculations and Math
- Calculations within Numpy arrays
- Math functions with Numpy
- Integrating with Numpy
- Statistics with Numpy
- Polynomials part 1
- Polynomials part 2
Instructors
Articles
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