380+ Exercises - Python Programming Mega Pack - Built-in

Welcome to the 380+ Exercises - Python Programming Mega Pack course where you can test your Python programming skills.

Topics you will find in the basic exercises:

• print() function

• calculations in Python

• slicing

• strings, and str methods

• data types

• data structures: set. tuple, list, dict

• program flow control

• if statement

• for loops

• break statement

• continue statement

• while loops

• exception handling

• input/output

• reading files

• saving to files

• built-in functions

• defining your own functions

• anonymous functions - lambda expression

• generators

• set comprehension

• list comprehension

• dict comprehension

• built-in modules

Knowing the built-in modules and packages significantly improves our development skills. We will use, for example:

• datetime

• os

• sys

• copy

• string

• re

• collections

• pprint

• pathlib

• random

• math

• statistics

• numbers

• decimal

• fractions

• itertools

• functools

• csv

• json

This course is designed for people who have basic knowledge of Python and built-in modules and packages. It consists of 380 exercises with solutions. The course is focused on practical learning. This is a great test for people who are learning the Python language 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, 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.  Python is a programming language that lets you work quickly and integrate systems more effectively. Python can be easy to pick up whether you're a first time programmer or you're experienced with other languages.

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