210+ Exercises - Python Standard Libraries - from A to Z
What you'll learn
- solve over 210 exercises in Python with standard libraries
- deal with real programming problems
- work with documentation
- guaranteed instructor support
Course content
- 00:16Info
- 00:06Requirements
- Preview02:56
- Preview03:47
- 09:57Google Colab - Intro
- Preview04:08
- 02:57Introduction to Spyder
- 04:40Anaconda installation - Linux
Requirements
- completed course 200+ Exercises - Programming in Python - from A to Z
- basic knowledge of Python
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
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100+ Exercises - Python - Data Science - scikit-learn
250+ Exercises - Data Science Bootcamp in Python
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COURSE DESCRIPTION
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210+ Exercises - Python Standard Libraries - from A to Z
Welcome to the course 210+ Exercises - Python Standard Libraries - from A to Z, where you can test your Python programming skills.
The course is designed for people who have basic knowledge in Python. It consists of 210 exercises with solutions. The course is focused on practical learning.
Knowing the built-in libraries 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
pickle
zipfile
csv
json
urllib.request
timeit
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!
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](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
- 1,411 Reviews
- 33,444 Students
- 37 Courses
EN
Data Scientist/Python Developer/Securities Broker
Founder at e-smartdata[.]org.
A big fan of new technologies, especially in the areas of artificial intelligence, big data and cloud solutions.
A graduate of postgraduate studies at the Polish-Japanese Academy of Information Technology in the field of Computer Science in the Big Data specialization.
A graduate of Master's Degree in Financial and Actuarial Mathematics at the Faculty of Mathematics and Computer Science of the University of Lodz.
Stockbroker license holder with experience in teaching at a university.
Lecturer at the GPW Foundation (technical analysis, behavioral finance and portfolio management).
The main areas of interest are artificial intelligence, machine learning, deep learning and financial markets.
PL
Data Scientist, Securities Broker
Założyciel platformy e-smartdata[.]org
Miłośnik nowych technologii, szczególnie w obszarze sztucznej inteligencji, big data 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.
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 sztuczna inteligencja, uczenie maszynowe, uczenie głębokie i rynki finansowe.