Python Programming Bootcamp: Visual Learning for Beginners
What you will learn:
- Build a robust foundation in Python programming, covering syntax, data structures, and control flow through a unique visual learning approach.
- Develop practical problem-solving abilities to translate real-world challenges into efficient Python code.
- Master advanced concepts such as object-oriented programming (OOP), file handling, and exception management for building sophisticated applications.
- Become proficient in using advanced data structures including lists, dictionaries, sets, and more, to effectively handle complex datasets.
Description
Unlock your coding potential with our immersive Python bootcamp designed for absolute beginners! Learn Python visually, mastering fundamental concepts and advanced techniques through engaging animations and real-time code tracing.
This comprehensive course eliminates the struggle of traditional text-based learning. Designed for anyone from career changers to non-IT professionals, it's your pathway to mastering Python and launching a successful career in tech.
You'll gain a crystal-clear understanding of how code executes by visualizing its behavior in RAM. We cover Python essentials, data structures (lists, dictionaries, sets, more!), object-oriented programming (OOP), file handling, exception handling, and practical problem-solving.
Here's what awaits you:
• Grasp Python syntax, variables, operators, and control flow with ease.
• Master advanced data structures like lists, tuples, dictionaries, and sets.
• Understand and implement object-oriented programming (OOP) principles.
• Learn file handling techniques for efficient data management.
• Write clean, error-free code through effective exception handling.
• Develop your problem-solving abilities to become a confident programmer.
Why Choose Visual Learning?
Our unique approach uses dynamic visuals to illustrate complex concepts. Forget rote memorization – you'll actively *see* how your code works. This interactive method makes learning faster, easier, and more fun! This course includes hands-on projects to reinforce your skills. It's perfect for those seeking a career transition into the tech world.
Enroll now and transform your future with Python programming!
Curriculum
What Makes Us Unique? Our Way of Teaching - Demo Class Videos
This section starts with a demonstration of our unique teaching style, showing how variables are handled in the course. The lecture 'Variables - Demo' (03:04) provides a glimpse into the visual approach used throughout the course.
Introduction
This introductory section lays the groundwork for the course. It includes an introduction to the course itself (02:26), a roadmap outlining the course's structure (01:52), an introduction to Python (01:56), and explanations of why computers use 0s and 1s (04:49), the platform independence of Python and high-level languages (05:19), an introduction to objects (04:18), the differences between compilers and interpreters (01:15), and concludes with a short quiz (4 questions).
Setting Up the Environment
This concise section guides you through installing the Spyder IDE, a crucial step for your Python programming journey. The lecture 'Installing Spyder IDE' (04:01) ensures you're ready to begin coding.
Python Basics
This section covers the fundamental building blocks of Python. You'll learn about variables (03:58), data types (integers, floats, strings, booleans, and complex numbers) (07:40), an introduction to lists, tuples, sets and dictionaries (18:07), type casting (08:29), the `input()` function (07:49), the `print()` function (11:41), and finish with a quiz (6 questions).
Operators in Python
This section delves into the different operators in Python, covering arithmetic (03:13), comparison (02:30), logical (06:28), assignment (04:20), modulus (07:48), incrementing values and the use of comments (06:10). It then tests your understanding with two short programming exercises focusing on the modulus operator.
Control Flow in Python
Here, you'll learn about the various control flow statements in Python, including `if` statements (03:59), `if-else` statements (03:38), `if-elif-else` statements (05:28), nested `if` statements (07:57), and conclude with a programming exercise that tests your ability to find the largest of three numbers.
Loops in Python
This comprehensive section teaches you about loops in Python. You'll learn about iterators and the `next()` function (09:56), `for` loops (12:00), the `range()` function (09:38) with two related programming examples (14:52 and 06:49), `while` loops (09:53) with a programming example (04:29), the `break` (08:05), `pass` (01:56), and `continue` (02:39) statements, string replication (01:49), and various pattern programs (star patterns 34:10, number patterns 38:52, alphabet patterns 05:54, and prime number generation 19:47). Finally, there are two programming exercises to solidify your understanding of loops.
Functions in Python
This section covers functions in Python, including an introduction (08:11), function definitions (04:56), global and local variables (10:53), the `global` keyword (02:52), the `return` keyword (05:11), user-defined functions (08:24), different types of function arguments (09:12), pre-built functions (08:21), importing functions (06:28), creating custom functions (03:45), module naming (01:34), recursive functions and the factorial program (16:40), lambda functions (16:18), the `reduce()` function (11:13), the `filter()` function (07:26), the `map()` function (04:09), the differences between `reduce()`, `filter()`, and `map()` (05:33), and wraps up with three programming exercises: one on summing numbers, one on multiplying with lambda, and one on product calculation with `reduce()`.
Data Structures in Python
This section explores Python's data structures: lists (17:19), the difference between mutable and immutable objects (13:17), tuples (04:54), sets (06:35), dictionaries (04:53), nested lists and the `copy()` function (05:12), shallow copy (15:08), and deep copy (04:17). Slicing is covered (05:33) along with two programming exercises involving finding the second largest number in a list and counting element occurrences.
Strings in Python
This section is dedicated to strings in Python, covering string basics (17:51), built-in string functions (10:26), string formatting (11:42), f-strings (02:35), pre-built functions in the `re` module (10:39), and a programming exercise on palindrome checking.
Object-Oriented Programming (OOP) in Python
This section covers object-oriented programming (OOP), starting with an introduction to objects and classes (15:01), programming examples using classes (08:27), the `__new__` method (08:28), `__init__` method (02:59 and 06:38), class methods and variables (07:53), static methods (03:26), the `super()` function (06:30), an object class program (24:16), inheritance (08:15), types of inheritance (20:06), method overriding (02:44), specialization methods (04:43), programs illustrating inheritance (17:16), polymorphism (14:36), method overriding and overloading (06:08), encapsulation (12:09), and abstraction (15:15). It culminates in two programming exercises focusing on inheritance and polymorphism.
File Handling in Python
This section teaches file handling operations in Python, covering `open()`, `read()`, `readline()`, `readlines()` (06:13), and `write()` and `writelines()` (09:23).
Closure and Decorator in python
This section introduces nested functions (02:37), closures (10:03), and decorators (14:43) in Python.
Exception Handling in Python
This section covers exception handling. You will learn the difference between syntax errors and runtime exceptions (06:00), how to use `try`, `except`, and `else` blocks (15:02), the `finally` and `raise` statements (06:44), and how to create custom exceptions (04:09). It concludes with a programming exercise testing your exception-handling skills.
Bonus
This bonus section offers additional resources and information to enhance your learning (02:55 and 01:30).
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