100+ Exercises - Advanced Python Programming
What you'll learn
- solve 100+ advanced exercises in Python
- deal with real programming problems
- work with documentation and Stack Overflow
- guaranteed instructor support
Course content
- 00:12Info
- 00:09Requirements
- Preview02:54
- Preview03:47
- 09:57Google Colab - Intro
- Preview04:07
- 02:56Introduction to Spyder
- 04:39Anaconda installation - Linux
Requirements
- completed 200+ Exercises - Programming in Python - from A to Z
- completed 210+ Exercises - Python Standard Libraries - from A to Z
- completed 150+ Exercises - Object Oriented Programming in Python - OOP
Description
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RECOMMENDED LEARNING PATH
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200+ Exercises - Programming in Python - from A to Z
210+ Exercises - Python Standard Libraries - from A to Z
150+ Exercises - Object Oriented Programming in Python - OOP
100+ Exercises - Advanced Python Programming
100+ Exercises - Unit tests in Python - unittest framework
100+ Exercises - Python Programming - Data Science - NumPy
100+ Exercises - Python Programming - Data Science - Pandas
100+ Exercises - Python - Data Science - scikit-learn
250+ Exercises - Data Science Bootcamp in Python
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COURSE DESCRIPTION
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100+ Exercises - Advanced Python Programming
Welcome to the course 100+ Exercises - Advanced Python Programming, where you can check your programming skills in Python. The course is designed for people who have basic knowledge in Python. The course consists of over 100 advanced exercises (exercises + solutions) in Python.
Below are some topics that were included in the exercises:
arithmetic
Fibonacci sequence
prime and composite numbers
palindromic numbers
GCD
decimal system, binary system
compression
object oriented programming
Hamming distance
Scrabble game
spiral matrices
input / output operations
work with JSON and CSV files
ETL processing
object serialization - pickle
SQLite databases - sqlite3
Levenshtein distance
Caesar Cipher
Morse code
Monte Carlo method
bitwise AND, OR, XOR
functional programming
inheritance from built-in classes
calculation of moving averages and minima
implementation of the Matrix class
implementation of the Stack class
implementation of the Queue class
the parentheses validator
HTML document validator
and other
During the course you will be able to test your programming skills in Python. This is a great test for people who want to become a Python Developer and are looking for new challenges. Exercises are also a good test for an interview. Many popular topics were covered during the course. Before taking the course, please make sure that you meet the requirements.
Don't hesitate any longer and take the challenge today!
Who this course is for:
- everyone who wants to learn by doing
- everyone who wants to improve Python programming skills
- everyone who wants to prepare for an interview
Instructor
![Paweł Krakowiak](data:image/svg+xml,%3Csvg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 64 64"%3E%3C/svg%3E){kind=avatar}
- 4.6 Instructor Rating
- 1,705 Reviews
- 56,509 Students
- 41 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.