30 Days of Python Code: NumPy Challenge 2023
Enhance your Python programming skills and master NumPy with our comprehensive 30-day challenge course. Solve over 200 exercises, gain practical knowledge, and prepare for interviews. Start today!
What you’ll learn
- solve over 200 exercises in Python & NumPy
- deal with real programming problems
- work with documentation & Stack Overflow
- guaranteed instructor support
Take the 30 days of code challenge! Welcome to the 30 Days of Python Code: NumPy Challenge course where you can test your Python & NumPy programming skills.
Topics you will find in the basic exercises:
arrays creation
shapes, reshaping arrays
dimensions
size
indexing
slicing
arrays manipulation
math, statistic & calculations
dates
random
comparing arrays
broadcasting
saving, loading & exporting
appending, concatenating & stacking arrays
sorting, searching & counting
filtering
boolean mask
image as an array
dealing with missing values
iterating over arrays
linear algebra
matrix multiplication
polynomials
solving systems of equations
arrays with characters
functional programming & universal functions
dummy encoding
and other
This course is designed for people who have basic knowledge of NumPy and Python. It consists of 200 exercises with solutions and 2 practical tests. The first test is after 15 days, the second after 30 days. This is a great test for people who are learning the Python language & NumPy and are looking for new challenges. Exercises are also a good test before the interview.
If you’re wondering if it’s worth taking a step towards Python & NumPy, don’t hesitate any longer and take the challenge today.
Stack Overflow Developer Survey
According to the Stack Overflow Developer Survey 2021, Python is the most wanted programming language. Python passed SQL to become our third most popular technology. Python is the language developers want to work with most if they aren’t already doing so.
Who this course is for:
- everyone who wants to learn by doing
- everyone who wants to improve their Python programming skills
- everyone who wants to improve their NumPy skills
- everyone who wants to improve their data science skills
- everyone who wants to prepare for an interview
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