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2021 Python Programming From A-Z: Beginner To Expert Course.
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A comprehensive list of all sections & lectures for this course can be found below.
Intro To Python Programming - 05:21 [Play]
What is Python Programming? - 09:30
Who is This Course For? - 04:33
Python Programming Marketplace - 05:47
Python Job Opportunities - 04:43
How To Land a Python Job Without a Degree - 08:20
Python Programmer Job Roles - 08:41
Python from A-Z Course Structure - 04:19
Getting Familiar with Python Section Overview - 05:56 [Play]
Installing Python on Windows - 09:36
Anaconda and Jupyter Notebooks Part 1 - 07:31
Anaconda and Jupyter Notebooks Part 2 - 16:24
Python Syntax - 02:13
Line Structure - 02:44
Line Structure Exercise - 07:12
Comments - 05:01
Joining Lines - 05:00
Multiple Statements on a Single Line - 04:52
Indentation - 07:40
Basic Data Types Section Overview - 08:26 [Play]
Python Variables - 08:10
Integers and Floats - 08:26
Strings Overview - 09:50
String Manipulation - 07:18
String Indexing - 04:28
String Slicing - 08:17
Booleans - 04:54
Printing - 09:48
Mini-Project 1 - Letter Counter (1) - 19:56
Python Operators Section Overview - 04:12 [Play]
Arithmetic Operators - 08:17
Assignment Operators - 03:40
Comparison Operators - 09:20
Logical Operators - 12:37
Identity Operators - 04:41
Membership Operators - 02:02
Bitwise Operators - 07:50
Python Advanced Data Types (Section Overview) - 10:37 [Play]
List Overview - 04:39
List Indexing and Slicing - 04:26
Tuples - 02:20
Sets - 06:01
Dictionary - 10:40
When to use each one? - 04:31
Compound Data Types - 02:44
Control Flow Part 1 Section Overview - 15:01 [Play]
Intro to Control Flow - 00:57
Basic Conditional Statements - 13:39
More Conditional Statements - 05:04
For Loops - 09:51
While Loops - 11:47
Control Flow Part 2 Section Overview - 02:29 [Play]
Break Statements - 08:00
Continue Statements - 04:52
Zip Function - 07:20
Enumerate Function - 03:58
List Comprehension - 04:28
Python Functions Section Overview - 02:50 [Play]
Intro to Functions - 02:17
Python Help Function - 03:12
Defining Functions - 09:29
Variable Scope - 08:13
DocStrings - 03:44
Error Handling and User Input (Section Overview) - 01:49 [Play]
Intro to Error Handling - 02:48
User Input - 04:22
Syntax Errors - 04:00
Exceptions - 11:23
Handling Exceptions Part 1 - 08:29
Handling Exceptions Part 2 - 08:18
Python Advanced Functions - [Missing] - 08:18
Python Advanced Functions (Section Overview) - 05:11 [Play]
Lambda Functions - 05:29
Functions args and kwargs - 10:02
Iterators - 08:13
Generators and Yield - 11:53
Map Functions - 14:25
Filter Function - 08:03
Python Scripting and Libraries Section Overview - 04:30 [Play]
What is a script? - 01:24
What is an IDE? - 17:20
What is a text editor? - 11:46
From Jupyter Notebook to VScode Part 1 - 14:45
From Jupyter Notebook to VScode Part 2 - 05:03
Importing Scripts - 03:05
Standard Libraries - 04:13
Third Party Libraries - 05:35
NumPy Section Overview - 04:08 [Play]
What is NumPy - 04:28
Why NumPy - 04:10
NumPy Arrays - 10:24
Reshaping, Accessing, and Modifying - 07:20
Slicing and Copying - 05:53
Inserting , Deleting, Appending - 09:45
Array Logical Indexing - 03:44
Broadcasting - 08:20
Intro to Pandas - 16:44 [Play]
Pandas Series - 16:59
Pandas DataFrame - 17:04
Pandas DataFrame Manipulation - 12:55
Pandas Series Manipulation - 16:32
Dealing with Missing Values - 10:09
Functional vs OOP - 06:16 [Play]
OOP key Defintions - 04:04
Create your First Class - 12:09
How to create and use Objects - 06:04
Modifying Attributes - 12:29
Python Decorators - 27:09 [Play]
Property Decorator - 08:44
Class Methods Decorator - 07:11
Static Methods Decorators - 10:29
Inheritance from A to Z - 20:36
Python Career Section Overview - 05:56 [Play]
Getting Started with Freelancing - 09:26
Building A Brand - 11:57
Personal Branding - 13:09
Importance of Having Website/Blog - 04:23
Do's and Don'ts of Networking - 05:31
Top Freelance Websites - 08:05
Creating A Python Developer Resume - 06:01
Welcome to the Learn Python Programming From A-Z: Beginner To Expert Course
Where you're going to learn how to become a professional Python Developer and create programs, apps, scripts, games and so much more...
In this practical, hands-on course our main objective is to give you the education not just to understand the ins and outs of Python Programming, but also to learn exactly how the software development industry works, the different roles within a team, and how to land a Python Programming job without a degree.
Blending practical work with solid theoretical training, we take you from the basics of Python Programming to mastery, giving you the training you need not just to create software programs, scrape websites, and build automations, but also the foundational understanding of data science and visualization so you can become a well-rounded Python Programmer.
We understand that theory is important to build a solid foundation, we understand that theory alone isn't going to get the job done so that%u2019s why this course is packed with practical hands-on examples that you can follow step by step.
Even if you already have some coding experience, or want to learn about the advanced features of Python, this course is for you! In this course, you'll learn Python 3.
Python is the number one programming language choice for machine learning, data science, and artificial intelligence. In order to get those high paying programming jobs, you need the skills and knowledge of how to become an expert Python Programmer, and that%u2019s exactly what you'll learn in this course.
Together we're going to give you the foundational education that you need to know not just on how to write code in Python, create various scripts and softwares but also how to get paid for your newly developed programming skills.
All course reviews are written by students who have completed the course or are currently enrolled.
So far it looks like a very to-the-point course which does not waiver around and sticks to the subject at hand. Good for people who want to jump right into the experience.
Really an amazing course for absolute beginners which has more and more Quizes and coding exercises which was very useful. Instructor "Ahmed" sir was excellent in delivering the content in the lectures and example problems are explained clearly after each and every lectures. He tries his full effort in solving the students queries in the Q
Entire course structure made learning python easy and doubt clearance was too good.
Outstanding course for absolute beginners!
Great course for Python beginners. They have quizzes and coding exercises as awesome Q
I can highly recommend this course for my friends. I was totally new to python but the course instructors are really awesome made a brief explanation of each concept. It was good course and I would like to be part of Ahmed sir courses in future as well. Thanks to you as well Juan sir. I will be happy if you both start a Data science course for us.
This course is really good for the Beginners who want to get Expert in Python. This course not only teaches about programming it also tell you how you can step in market , how you should prepare your resume and many more.
Great teaching throughout the course. The pace was just right and the Q
This course is everything a beginner is looking for. exercises and quizzes are great. Way of teaching is also very soothing and professional. loved the way ahmed teach. If some projects can also be added in the course to sum up everything taught in the course ,that would be so great.
juan galvan is currently teaching 16 courses. All courses are currently open for enrollment.
juan galvan currently has 304,224 global enrollments across 16 courses that are active on the platform.
juan galvan has an average rating of 4.5/5 stars, across 16 courses.
Hi I'm Juan. I've been an Entrepreneur since grade school. My background is in the tech space from Digital Marketing, E-commerce, Web Development to Programming. I believe in continuous education with the best of a University Degree without all the downsides of burdensome costs and inefficient methods. I look forward to helping you expand your skillsets.
You have nothing to lose. Give the course a try. If it's not what you expected, get a full refund within 30 days of purchase.
