Overview
solve over 200 exercises in Python & NumPy, deal with real programming problems, work with documentation & Stack Overflow, guaranteed instructor support
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
basic knowledge of Python, basic knowledge of NumPy, I have courses which can assist in obtaining all the necessary skills for this course
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.
Paweł Krakowiak
EN
Python Developer/Data Scientist/Stockbroker
Enthusiast of new technologies, particularly in the areas of artificial intelligence, the Python language, big data and cloud solutions. Graduate of postgraduate studies at the Polish-Japanese Academy of Information Technology in the field of Computer Science and Big Data specialization. Master's degree graduate in Financial and Actuarial Mathematics at the Faculty of Mathematics and Computer Science at the University of Lodz. Former PhD student at the faculty of mathematics. Since 2015, a licensed Securities Broker with the right to provide investment advisory services (license number 3073). Lecturer at the GPW Foundation, conducting training for investors in the field of technical analysis, behavioral finance, and principles of managing a portfolio of financial instruments.
Founder at e-smartdata[.]org.
PL
Data Scientist, Securities Broker
Jestem miłośnikiem nowych technologii, szczególnie w obszarze sztucznej inteligencji, języka Python big data oraz rozwiązań chmurowych. Posiadam stopień absolwenta podyplomowych studiów na kierunku Informatyka, specjalizacja Big Data w Polsko-Japońskiej Akademii Technik Komputerowych oraz magistra z Matematyki Finansowej i Aktuarialnej na wydziale Matematyki i Informatyki Uniwersytetu Łódzkiego. Od 2015 roku posiadam licencję Maklera Papierów Wartościowych z uprawnieniami do czynności doradztwa inwestycyjnego (nr 3073). Jestem również wykładowcą w Fundacji GPW prowadzącym szkolenia dla inwestorów z zakresu analizy technicznej, finansów behawioralnych i zasad zarządzania portfelem instrumentów finansowych. Mam doświadczenie w prowadzeniu zajęć dydaktycznych na wyższej uczelni z przedmiotów związanych z rachunkiem prawdopodobieństwa i statystyką. Moje główne obszary zainteresowań to język Python, sztuczna inteligencja, web development oraz rynki finansowe.
Założyciel platformy e-smartdata[.]org
IG: e_smartdata