100 Days of Code: Python Developer Challenge
What you'll learn
- solve over 300 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 and advanced knowledge of Python
Description
"100 Days of Code: Python Developer Challenge" is an immersive, hands-on course designed to turn you into a confident Python developer within a span of 100 days. This course is based on the #100DaysOfCode challenge, a widely-recognized commitment to code for at least an hour every day for 100 days, and it's tailor-made for those who want to expedite their learning journey in Python.
The course begins with an introduction to the Python language, covering fundamental programming concepts like variables, data types, control flow, and functions. As the days progress, the complexity of topics gradually increases, encapsulating intermediate to advanced concepts like object-oriented programming (OOP), data structures, and error handling.
Each day presents a unique challenge, focusing on a specific domain like web development, data analysis, machine learning, or automation, allowing learners to understand the diverse applications of Python. The course is filled with a variety of projects, coding exercises, and quizzes to reinforce what you've learned and ensure you can apply the knowledge in practical scenarios.
By the end of the "100 Days of Code: Python Developer Challenge," you will have completed a journey through a wide variety of Python programming topics, built numerous Python projects of increasing complexity, and, most importantly, developed the habit and discipline of coding daily. This makes the course ideal for beginners looking for a structured path to learn Python, as well as intermediate programmers seeking to refine their skills and broaden their understanding of the language.
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.
Who this course is for:
- Python developers or programmers who want to enhance their skills, knowledge, and confidence in Python programming
- students or individuals studying computer science or software engineering who want to build a strong foundation in Python and gain practical experience through coding challenges
- professionals working in the software development industry who want to expand their knowledge of Python and stay up-to-date with best practices and modern techniques
- beginners or individuals with minimal programming experience who want to kickstart their coding journey and learn Python through a structured challenge
- self-learners or coding enthusiasts who are motivated to commit to a coding challenge and want to develop a consistent coding habit
- developers who want to strengthen their problem-solving and algorithmic thinking skills through hands-on coding exercises and challenges in Python
Instructor
- 4.6 Instructor Rating
- 7,478 Reviews
- 307,429 Students
- 111 Courses
EN
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
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.
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