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2022-05-12T08:40:36Z

DevelopmentProgramming LanguagesPython

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

Mega Pack - Improve your Python programming skills and solve 380 exercises with Python built-in modules and packages!
New
Rating: 5.0 out of 55.0 (2 ratings)
2,021 students
Created by Paweł Krakowiak
Last updated 5/2022
English
English [Auto]

What you'll learn

  • solve over 380 exercises in Python
  • deal with real programming problems
  • work with documentation
  • guaranteed instructor support

Requirements

  • completion of all courses in the Python Developer learning path
  • basic knowledge of Python
  • basic knowledge of Python built-in modules and packages
  • I have courses which can assist in obtaining all the necessary skills for this course

Description

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.

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 prepare for an interview

Instructor

Paweł Krakowiak
Python Developer/Data Scientist/Stockbroker
Paweł Krakowiak
  • 4.6 Instructor Rating
  • 3,801 Reviews
  • 153,422 Students
  • 65 Courses

EN

Python Developer/Data Scientist/Stockbroker

Founder at e-smartdata[.]org.

Big fan of new technologies!

Graduate of postgraduate studies at the Polish-Japanese Academy of Information Technology in the field of Computer Science and Big Data specialization.

Graduate of MA studies 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.

Stockbroker license holder (no 3073).

Lecturer at the GPW Foundation (technical analysis, behavioral finance and portfolio management).

PL

Data Scientist, Securities Broker

Założyciel platformy e-smartdata[.]org

Miłośnik nowych technologii, szczególnie w obszarze sztucznej inteligencji, języka Python oraz rozwiązań chmurowych.

Absolwent podyplomowych studiów na Polsko-Japońskiej Akademii Technik Komputerowych na kierunku Informatyka, spec. Big Data.

Absolwent studiów magisterskich z matematyki finansowej i aktuarialnej na wydziale Matematyki i Informatyki Uniwersytetu Łódzkiego.

Od 2015 roku posiadacz licencji Maklera Papierów Wartościowych z uprawnieniami do czynności doradztwa inwestycyjnego (nr 3073).

Wykładowca w Fundacji GPW prowadzący szkolenia dla inwestorów z zakresu analizy technicznej, finansów behawioralnych i zasad zarządzania portfelem instrumentów finansowych.

Z doświadczeniem w prowadzeniu zajęć dydaktycznych na wyższej uczelni z przedmiotów związanych z rachunkiem prawdopodobieństwa i statystyką.

Główne obszary zainteresowań to język Python, sztuczna inteligencja, web development oraz rynki finansowe.

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