Udemy - The Complete Python Programmer Bootcamp 2020 ...
https://www.udemy.com/course/the-complete-python-programmer-bootcamp/
Python Programmer Bootcamp 2020
Udemy - The Complete Python Programmer Bootcamp 2020 ...
https://www.udemy.com/course/the-complete-python-programmer-bootcamp/
Python Programmer Bootcamp 2020
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Description
Python Programmer Bootcamp 2020
This Python course is different. It will not only teach you Python, it will give you a problem solving super-power using Python code! And that will make all the difference, especially if you are pursuing a career in data science, AI, web development, big data, web testing, or programming for smart devices in Python.
The author of this course, Giles McMullen-Klein, is a British programmer who went to Oxford University and used Python for his research there. Giles is one of the best-known Python and data science vloggers on YouTube where more than 133,000 subscribers follow his videos.
There are several reasons why this course is different and why Giles could be the perfect Python teacher for you:
· Engaging, informative and fun! Giles' lectures are entertaining and will inspire you to learn Python
· Motivating ,enthusiastic and effective - Giles' passion for coding in Python and teaching the language is infectious
· Develop a thorough understanding of Python
· Carefully crafted lectures and superb quality of production (Full HD videos) + animations and callouts
· Practice, practice, practice - the course contains dozens of exercises to help you master the Python programming concepts covered in the lessons
· Giles' English accent :D
Have you always wanted to learn one of the world's most popular programming languages? If so, this is the perfect course for you. It will teach you how to program in Python and help to prepare you for coding challenges frequently posed during job interviews.
Giles' teaching style builds a connection with students. And what's more - he's there for you if you need any help. Just post any queries or questions in the course Q&A section.
In this comprehensive course, we will cover several key topics:
⁃ Why program? Why study Python?
⁃ How to install Python
⁃ Hands-on programming with strings
⁃ Print function
⁃ Variables
⁃ Conditionals
⁃ Loops
⁃ Data structures
⁃ Modules
⁃ Files
⁃ OOP
⁃ Time complexity
⁃ Big O
⁃ Stacks
⁃ Debugging
There are many exercises throughout the course, some of our favourites are:
⁃ The Sierpinski Triangle
⁃ The Towers of Hanoi
⁃ And the Computer Vision capstone project
365 Careers' team is very excited about this project. The creation of a Python course has been an ambition of ours for quite some time. but as we were not prepared to make any compromises on the quality of the course content, we needed to choose the right partner. Luckily, Giles was as excited about working with us as we were with him and together, after much hard, work we have created what we believe to be a first-class learning experience. We are confident that programming novices will benefit from Giles' authenticity combined with our visual approach to teaching which includes our much-loved graphics and animations.
To date, employees from 80 of the Fortune 100 companies have taken our courses. 600,000 students have given us an average rating of 4.5 stars. And we are confident that this is the perfect course for you if you want to become a Python programmer.
Sounds great, doesn't it? Are you ready for a life-changing adventure? If you are serious about learning Python, this is the only bootcamp you will need.
The course comes with a 30-day money-back guarantee. If you decide it wasn't for you, you will be refunded in full (+keep all the downloaded resources free of charge)!
No risk for you, so go ahead, click the "Buy now" button and start your Python programmer journey today!
Para quem é este curso:
Anyone who wants to learn Python, this course is suitable for beginners with no programming experience
Programmers in other languages who want to learn Python 3
Python programmers who want to learn coding best practice
Anyone who is interested in the fastest-growing and most popular programming language in 2020
People interested in a data science, web development, big data, web testing, or an AI Python programming career
Course content
Welcome! Course introduction
What's inside the course?
Why code? Why Python?
The best way to take the course
Download all resources
Setting up the environment
Installing Anaconda and introducing Spyder
Introducing Spyder
Python basics + Hands-on coding
PRINT function
Your help needed
Variables and strings - Exercises
The solution
Variables
Strings
Let's write a program
Question 1
Question 2
Question 3
Question 4
Question 5
Conditionals
Intro to conditionals
Logical operators
Not TRUE is FALSE
IF statement
More on strings
More strings!
Practice challenge
For loops
Intro to For loops
A little more on variables
Lists
The power of lists and loops and working together
Some list methods
While loops
Modulus
Practical challenge
Dictionaries
Modules
Dictionaries
Zip function
More string methods
Tuples
More than 1 dimension
Import counters (1/2)
Import counters (2/2)
Files and functions
Files and functions
Appending to a file
Fibonacci in a function
Recursion
More on functions
Classes
Objects
Class
__Init__
Class variables
Methods
Inheritance
Practical exercise 1
Practical exercise 2
General tips
General tips
BIg O
_Big_O
O(n)
O(n^2)
O(n!)
Summary
Advanced Python: Caesar two sum
Intro
Caesar cipher
Jupyter notebook intro
Caesar cipher solution
Two sum
Two sum solution
Card class
Playing card class
Playing card class solution
Advanced Python: Matplotlib
Matplotlib
Random walk explanation
Simulating a random walk
Sierpinski triangle
Creating the triangle in Matplotlib
Python imaging library
Advanced Python: Stacks
Intro to stacks
Coding a stack in Python
Practical challenge - stacks
Hint on solving the challenge
Solving the stacks challenge
Towers of Hanoi
Some hints
Code for Tower of Hanoi
Enumerate sets & none
Search and sort
Intro to search and sort
Linear search
Binary search
Insertion sort
Advanced Python: Cards and coins
Intro to cards and coins
Luhn's algorithm
Coins
Coins - Python code
Advanced Python: Debugging
Debugging
Beyond the PRINT function
Debugging in Spyder
Advanced Python: Strings and expressions
A little more on strings
Regular expressions
More regular expressions
Type hints
Capstone project - Computer vision
Introduction to the project
Coin photographs
Introducing OpenCV
Starting to work with Visual Studio
Hough circle transform
Get circle radii
Get brightness values
Performing coin classification
Closing remarks
Further exercises
Further exercises
Farewell
Farewell
Appendix - Quick Reference
String slicing
String methods
List basics
List methods
List, sort, min, max, sum, pop
List extend
List index
List length
List count
Look for item in list
More list slicing
Nested list
Empty list
Zip function
List comprehensions
Dictionaries
Dictionary get
Dictionary set default
Nested dictionaries
Dictionary comprehension
Sets
Tuple
Lambdas
Sorted lambda
Map
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