Python 3: Fundamentals

Why take this course?
π Python 3: Fundamentals - Learn Python the Right Way! π
This Course in a Nutshell π
Welcome to our comprehensive Python programming course designed for beginners who aspire to grasp Python at an intermediate level. This journey will transform you from a novice to a proficient Python developer, equipped to undertake real-world projects with confidence.
Who is this course for?
This course targets absolute beginners in programming who have a basic understanding of coding concepts like looping and conditional statements. No prior experience with Python is necessary!
Course Overview π
Our course is structured into three major sections, each building upon the previous one to ensure a solid foundation and progression in your learning journey.
Python Basics π§°
- What is Python?
- Installing Python
- Virtual Environments
- Running Python and Jupyter Notebooks
- Data Types (Integers, Floats, Booleans)
- Boolean, Arithmetic, and Comparison Operators
- Conditional Execution, Looping (for and while)
- Sequence Types (Lists, Tuples, Strings)
- Dictionaries and Sets
- Comprehensions
- Exceptions and Exception Handling
- Iterables and Iterators, Including Generators
- Functions and Arguments
- Lambda Functions
- Built-in Functions (zip, sorted, min, max, round)
Intermediate Python π
- Higher Order Functions
- Maps (Dictionaries) and Closures
- Advanced Sorting and Filtering
- Decorators
- File Operations (Text and CSV)
- Date and Time Manipulation with pytz and dateutil
- Random Numbers and Sampling
- NumPy for Numerical Computations
- Pandas for Data Sets
- Matplotlib for Data Visualization
- Introduction to Object-Oriented Programming (Classes)
- Working with JSON and REST APIs
3rd Party Libraries π
- Understanding Timezones with pytz
- Parsing Date/Time Strings with dateutil
- HTTP Requests with requests Library
- Introduction to NumPy, Pandas, and matplotlib
Learning Approach π
You'll dive into the world of Python through a mix of theoretical knowledge and practical application. Each concept is explained in detail, followed by exercises to reinforce your learning. The course includes:
- Interactive video lessons
- Hands-on coding practice
- Real-world examples
- Step-by-step project work
- Quizzes and assignments
- Community support from fellow learners and Python experts
What You'll Need π οΈ
To get the most out of this course, you should have:
- A computer with internet access
- Basic text editor or IDE (Integrated Development Environment) like PyCharm, VSCode, or Jupyter Notebook
- Curiosity and a willingness to experiment and learn!
Course Requirements ποΈ
Before jumping in:
- Ensure Python is installed on your computer (Python.org for the latest version)
- Familiarize yourself with setting up and using a virtual environment to manage dependencies
- Understand how to run Python scripts, either via the command line or an IDE
Join Us on this Python Adventure! π
Embark on your Python programming journey today. With this comprehensive course, you'll gain the skills and confidence needed to tackle any project that comes your way. Let's unlock the power of Python together! π§ββοΈβ¨
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Comidoc Review
Our Verdict
Dr. Fred Baptiste's Python 3 Fundamentals course offers an in-depth exploration of Python's core principles and inner workings, making it ideal for learners seeking a deeper understanding of programming. High-quality resources and professional instruction help create a robust learning experience. However, beginners should be prepared for a steep learning curve and engage with the material proactively to reinforce key concepts.
What We Liked
- Comprehensive exploration of Python fundamentals, from basic to advanced data types and core principles
- In-depth explanations focusing on the 'why' behind techniques, fostering a robust understanding of programming
- Professional instruction with clear, articulate explanations making complex topics approachable for dedicated learners
- High-quality accompanying materials, including notebooks and lecture slides, serve as excellent resources for quick reference
Potential Drawbacks
- Steep learning curve for absolute beginners; some users may need to revisit sections several times to fully grasp the material
- Dry coding tasks in videos can sometimes feel disconnected from core lessons and lack engagement
- Text-heavy materials require significant scrolling, increasing cognitive load for learners
- Math-intensive sections may be challenging for users who are less confident in math