Published 1/2023
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz
Language: English | Size: 485.13 MB | Duration: 1h 57m
Master beginner to intermediate Python by completing practical challenges
What you’ll learn
Fundamentals of Python: value types, sequences, flow control structures, functions, etc.
Object-oriented programming
Most important modules and libraries
Building coding projects and solving challenges
Error handling and debugging
Requirements
No programming experience required
Description
Welcome to our The Ultimate Python Course! Are you ready to take the first step in your programming journey? This course is designed for individuals with little to no prior experience in programming, but by the end of it, you’ll have a solid understanding of the Python language and the ability to write intermediate-level programs and scripts. We believe that the best way to learn to program is through practical experience, and that’s exactly what you’ll get with this course.Throughout the course, you will learn the fundamentals of programming using Python, such as working with data types and structures, using control flow and functions, and understanding basic concepts like object-oriented programming and error handling.But that’s not all! You will also complete a variety of programming challenges that will help you build your problem-solving skills and test your understanding of the material. Additionally, you’ll complete two capstone projects, that you’ll be able to showcase in your job search to demonstrate that you can solve real-world problems.If you’re ready to start your programming journey, this beginner to intermediate Python course is for you. Sign up today and take the first step towards a career in programming or just learn something new and exciting. With our practical approach and hands-on experience, you’ll be coding like a pro in no time!
Overview
Section 1: Python basics
Lecture 1 Welcome
Lecture 2 Course structure
Lecture 3 Google Colab tour
Lecture 4 Printing messages in Python
Lecture 5 Adding comments to our Python code
Lecture 6 Declaring variables in Python
Lecture 7 Strings
Lecture 8 Operations with strings
Lecture 9 Numbers
Lecture 10 Adding numbers
Lecture 11 Subtracting numbers
Lecture 12 Multiplying numbers
Lecture 13 Dividing numbers
Lecture 14 Integer division and modulo
Lecture 15 Raising numbers to powers
Lecture 16 Order of operations with numbers
Lecture 17 Booleans
Lecture 18 Logical operations
Lecture 19 Converting values between types
Lecture 20 Magnitude comparison
Lecture 21 Conditional statements
Lecture 22 For loops
Lecture 23 Break and continue
Lecture 24 While loops
Lecture 25 Code challenge #1: Creating a hashtag pyramid
Lecture 26 Code challenge #1 – Solution
Lecture 27 Advice #1
Section 2: More Python basics
Lecture 28 More Python basics
Section 3: Object-oriented programming
Lecture 29 Object-oriented programming
Section 4: Fixing errors in our code
Lecture 30 Fixing errors in our code
Section 5: Capstone project #1
Lecture 31 Capstone project #1
Section 6: Intermediate Python
Lecture 32 Intermediate Python
Section 7: Useful modules and libraries
Lecture 33 Useful modules and libraries
Section 8: Capstone project #2
Lecture 34 Capstone project #2
Beginners with little or no programming experience,Students or professionals looking to add Python to their skill set,Students who want to learn Data Science,Non-technical people who want to learn programming for the first time.,Lifelong learners looking for a rewarding challenge
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