Implement 150 functions in Python! - Hands-on course
What you'll learn
- solve over 150 exercises in Python
- deal with real programming problems
- work with documentation
- guaranteed instructor support
- basic and advanced knowledge of Python
"Implement 150 functions in Python! - Hands-on course" is a comprehensive, practice-oriented course designed to boost your Python programming skills by applying them in real-world scenarios. This course provides a unique blend of theoretical and hands-on learning experiences, taking you on a journey from understanding Python's syntax and data structures to writing complex functions to solve a wide array of problems.
The course is focused on the development of 150 distinct Python functions. Each function corresponds to a specific task or problem, with a varying degree of complexity, ensuring learners of all levels get their fair share of challenges.
You will be implementing functions related to data processing, file manipulation, web scraping, data analysis, and much more. By the end of this course, you'll have a portfolio of practical Python functions that you can reference in future projects or during job interviews.
The "Implement 150 functions in Python! - Hands-on course" is not merely about understanding Python's syntax. It's about gaining practical experience in problem-solving using Python and becoming confident in your ability to tackle real-world programming challenges. It is suitable for beginners who have a basic understanding of Python, intermediate programmers looking to expand their skills, or anyone who learns best through hands-on experience.
Python - Code with Simplicity and Power!
Python is a versatile and powerful high-level programming language known for its simplicity and readability. It provides a clean and expressive syntax that emphasizes code readability, making it easier to write and understand compared to many other programming languages. Python supports multiple programming paradigms, including procedural, object-oriented, and functional programming, allowing developers to choose the most suitable approach for their projects.
Python boasts a vast standard library and a rich ecosystem of third-party packages, providing a wide range of tools and functionalities for diverse application domains. It is widely used in web development, scientific computing, data analysis, artificial intelligence, machine learning, automation, and more. Python's popularity stems from its ease of use, extensive community support, and cross-platform compatibility, enabling developers to write code once and run it on various operating systems.
With its beginner-friendly nature and extensive resources for learning, Python has become an excellent language for individuals starting their programming journey. Its simplicity and versatility make it an ideal choice for prototyping, rapid development, and solving complex problems with concise and elegant code. Python's philosophy of readability, combined with its broad application domain, has propelled it to be one of the most widely adopted programming languages across industries and disciplines.
Topics you will find in the exercises:
calculations in Python
strings, and str methods
data structures: set. tuple, list, dict
program flow control
saving to files
defining your own functions
anonymous functions - lambda expression
prime and composite numbers
decimal system, binary system
object oriented programming
input / output operations
work with JSON and CSV files
object serialization - pickle
SQLite databases - sqlite3
Monte Carlo method
bitwise AND, OR, XOR
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
Who this course is for:
- Python developers or programmers who want to enhance their programming skills by implementing a variety of functions in Python
- students or individuals studying computer science or software engineering who want to gain practical experience in implementing functions and algorithms using Python
- programmers transitioning to Python from other programming languages who want to practice implementing functions and learn Python-specific programming techniques
- professionals working on software development projects who want to expand their knowledge of Python and improve their problem-solving skills through hands-on practice
- self-learners or coding enthusiasts who enjoy challenging programming exercises and want to strengthen their Python programming abilities
- developers who want to build a strong foundation in Python by implementing a wide range of functions and algorithms commonly used in software development
Python Developer/AI Enthusiast/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
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.
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