This course is available immediately. It’s the most popular language for AI and machine-learning and it’s ideal for beginners. It is much simpler than JavaScript and C++.
Mosh Hamedani – Complete Python Mastery
Python It is the most used programming language worldwide. The average salary for a Python Developer is $116k in USA That’s nearly $30k more than other developers.
Python Big companies such as Google and Facebook use it, as well as Dropbox, Reddit Reddit Spotify, Quora and Reddit.
It is loved by mathematicians, engineers, scientists, and developers for its elegant syntax.
It is the most popular language for AI and machine-learning, and it is the best language to start with. It is much simpler than JavaScript and C++.
This course covers everything Python has to offer, from the basics to more complex topics.
It is a perfect combination of theory and practice.-Step examples, exercises and world examples-By-Step solutions – Free of charge “fluff” Long description!
Learn how to use Python In automation, web development, and machine learning.
From Beginner to Advanced
Access to the Library for Life
200 Lessons
12 hours of video
Exercises and solutions
Downloadable
Subtitles
Access via Mobile/Mobile
Certificate
Hi, I’m Mosh and I can’t wait to teach you Python!
By the end of this course, you’ll be able to…
Write Python With confidence, code
Learn web development and machine-learning with Python
Command-Line utilities
Automate boring, repetitive tasks
Write clean code like a pro
What you’ll learn…
Along with all the programming fundamentals, you’ll learn how to…
Use essential Python Data structures
Use modules and classes
Apply object-Principles of oriented programming
Be flexible
Create web scraping tools
3rd-Party Python You can also publish your own packages
Files and directories can be used for work
You can work with CSV files, JSON files, Excel spreadsheets and PDFs.
Send texts and emails
Selenium allows you to automate UI testing
APIs for calling backends
The basics of building web apps Python Django
Use Python Machine learning and data science projects
You can find out more about it here.
Take a bite-It’s small, easy and memorable-To-Videos with no fluff can be digested.
Are you done with the python course? Now I’m more motivated to make apps and machine-learning models with python. Python ?? Thank you @moshhamedani for your course. You are a great teacher
— Awais Chaudhary (@ChAwais25) March 2, 2019
Are you looking to learn #python You should check out the new course @moshhamedani Mosh’s courses are my go-Learn all about cutting-Edge technologies
— Brian Poole (@Zipped6648) December 11, 2018
Who is this course intended for?
Anyone who wishes to learn programming.
Students at college who are interested in learning more Python
Anyone who wishes to automate repetitive tasks Python
Anyone interested in a career in AI or data science, as well as web development
Python Developers who wish to improve their skills Python skills
No prior knowledge required
This course assumes that you don’t know anything about it Python Programming languages, or any other. With plenty of hands, you can move from beginner to expert in programming languages.-You will also be able to do some exercises along the journey.
Join 55318 other happy students!
Your instructor
Mosh Hamedani
Mosh Hamedani
Hi! Hi! Mosh Hamedani. Two decades of experience as a software engineer. Through my online courses and YouTube channel, I’ve taught millions of people how code and how they can become software engineers.
Coding should be fun for all.
Get your instant download Mosh Hamedani – Complete Python Mastery
Course Curriculum
1- Getting ed 32m
1. What is it? Python (3:21)
2- Installation Python (1:52)
3- Python Interpreter (1:55)
4-Code Editors (1.19)
5- Your First Python Program (3.36)
6- Python Extension (2:52).
7- Linting Python Code (4:14).
8- Formatting Python Code (3.54)
9-Running Python Code (2:59).
10- Python Implementations (2.28)
11- How Python Code Executed (2.46)
12- Quiz (1:37)
Follow me around
2- Primitive Types (34m)
1- Variables (3:04)
2- Variable names (3:02).
3-Strings (5:30).
4- Escape Sequences (2:40)
5-Formated Strings (2.08)
6-String Methods (5.54)
7-Numbers (2:46).
8- Working with numbers (2:09).
9-Type Conversion (5.04)
10- Quiz (2:43)
3- Control Flow (37m).
1- Comparison Operators (2.04)
2- Conditional Statements (4.09)
3-Ternary Operator (2.09)
4- Logical Operators (4.02)
5- Minutes Short-circuit Evaluation (2:06)
6- Chaining comparison operators (1:22).
7- Quiz (1:43)
8- For Loops (3.38)
9- For..Else (2:46)
10- Nested Loops (2.44)
11- Iterables (3:08)
12- While Loops (4.59)
13- Infinite Loops (1.37)
14- Exercise (2:05)
4- Functions (41m).
1- Defining functions (2:24).
2- Arguments (2.20)
Three Types of Functions (4.02)
4- Keyword Arguments (2:20)
5-Default Arguments (1.35)
6- xargs (4.15)
7- xxargs (2.20)
8- Scope (5.09)
9- Debugging (6:50)
10- VSCode Coding Tricks – Windows (2:21)
11- VSCode Coding Tricks – Mac (1:49)
12- Exercise (1:29)
13- Solution (4.41)
A Quick Note
5- Data Structures (1h20m).
1-Lists (3.54)
2- Accessing Items (3.13)
3rd List Unpacking (3.51)
4- Looping Over Lists (2.54)
5- Adding or removing items (2:56).
6- Finding Items (1.28)
7- Sorting lists (4:35)
8- Lambda Functions (1.49)
9-Map Function (3.25)
10- Filter Function (2.05)
11-List Comprehensions (3.10)
12- Zip Function (1:49)
13- Stacks (4.24)
14- Queues (2:50)
15- Tuples (4:02)
16- Swapping Variables (2:37)
17- Arrays (3.11)
18-Sets (4:03).
19- Dictionaries (5:24)
20- Dictionary Comprehensions (3.19)
21- Generator Expressions (3.51)
22- Unpacking Operator (4.05)
23- Exercise (6:21)
6- Exceptions (20m).
1- Exceptions (2.16)
2- Handling Exceptions (4.10)
3- Handling Different Exclusions (3:05).
4- Cleaning up (1:57).
5- The With statement (3:07)
6- Raising Exceptions (3:21)
7- Cost of raising exceptions (4:41).
7- Classes (1h25m).
1- Classes (2.35)
2- Creating Classes (3.45)
3-Constructors (4.37)
4- Instance Attributes vs Class (3:58).
5-Class vs. Instance Methods (4.05)
6- Magic Methods (3.13)
7- Comparing Objects (3.11)
8- Performing Arithmetic Operations (1:31).
9- Making custom containers (6.55)
10- Private Members (3.40)
11- Properties (7:30).
12- Inheritance (4.23)
13- The Object Class (2.23)
14- Method Overriding (3.14)
15- Multi-Level Inheritance (2.42)
16- Multiple Inheritance (3.22)
17- A Good example of Inheritance (4.31)
18- Abstract Base Classes (4:50).
19- Polymorphism (3.56)
20- Duck Typing (2.50).
21- Extension Built-Types (2.26)
22- Data classes (4:36).
8- Modules (20m)
1- Creating Modules (4:16)
2- Compiled Python Files (2:19)
3-Member Search Path (1.35)
4-Packages (2:27).
5- Sub-Packages (1:01).
6- Intra-Package References (1.36)
7- The dir Function (1.39)
8- Executing Modules and Scripts (2.55)
9- Python Standard Library (1h).
1- Python Standard Library (0,51)
2- Working With Paths (4.48)
3- Working with directories (4:14).
4- Working with Files (3.59)
5- Working with Zip Files (3.15)
6- Working with CSV files (4:50)
7- Working with JSON Files (3.57)
8- Working With a SQLite Database (9.10)
9- Working with Timestamps (2.24)
10- Working with DateTimes (5.05)
11- Working with Time Deltas (2.41)
12- Generating Random Values (4.09)
13- Opening the browser (1:12).
14- Sending email (6:48).
15- Templates (4.53)
16- Command-Line Arguments (1.54)
17- Running External Programmes (8:06).
10- Python Package Index (1h30m).
1-Pypi (1.49)
2-Pip (6.23)
3- Virtual Environments (4.04)
4- Pipenv (3.40).
5- Virtual Environments in VSCode (3.49)
6- Pipfile (4.48)
7- Managing Dependencies (3:28)
8- Publishing packages (8:22).
9- Docstrings (5.48)
10- Pydoc (4.06)
11- Popular Python Packages (1h30m).
1- Introduction (1.41)
2- What are APIs (2.36)
3- Yelp API (2.51)
4- Searching for Businesses (9.54)
5- Hide API Keys (2.05)
6- Text messages to send (6:02)
7- Web Scraping (9.06).
8- Browser Automation (11.28)
9- Working With PDFs (6.18)
10- Excel Spreadsheets – Working (09:52)
11- Command Query Separation Principe (4:39).
12- NumPy (9.05)
12- Building web applications using Django (30m).
1- Introduction (1.43)
2- Your First Django Project (4:11)
3- Your First App (3:41)
4-Views (7.59)
5- Models (4:57)
6-Migrations (8:00)
7- Modifying the Models (5.38)
8- Admin (4.29)
9- Customizing Admin (6.55)
10- Database Abstraction API (3.52)
11- Templates (10.23).
12- Adding Bootstrap (4:19)
13- Customizing the Layout (2.23)
14- Sharing a single template across multiple applications (3:48)
15- Url Parameters (4.37)
16- Getting One Object (3.48)
17- Raising 404 Errors (3:51)
18- Referencing Urls (3:47)
19- Creating APIs (9.26)
20- Adding the Home Page (4:27)
21- Getting Ready To Deploy (9.44)
22- Deployment (7.59)
Machine Learning with Python (30m)
1- What is Machine Learning (1.58)?
2- Machine Learning in Action (2.47)
3- Libraries and Tools (4.54)
4- Importing a data set (6:21)
5-Jupyter Shortcuts (5.26)
6- A Real Machine Learning Problem (3.17)
7- Preparing the Data (3.05)
8- Learning and Predicting (04:04)
9- Calculating the Accuracy (6.20).
10- Persisting Models (3:14)
11- Visualizing Decision Tree (6.26)
12 What Next?
13- Thanks
30-Day Money-Back Guarantee
It’s risky!-No cost
Download immediately Mosh Hamedani – Complete Python Mastery
I’m confident you’ll get everything you need from this course and be 100% satisfied. But in the unlikely event you decide it’s not for you just ask for a refund any time during the first 30 days and you’ll get your money back with no questions asked.
Frequently Asked Question
What is the final point of the course?
It is a course that never ends. It is self-evident.-Online course that you can pace yourself – You decide when and how you want to finish.
How long can I access the course?
What does lifetime access look like? You have unlimited access to the course after enrolling – on any device you own.
What if I am not satisfied with the course?
We don’t want you to be dissatisfied! We will refund your entire purchase if you are not satisfied within the first 30 days.
Is this course any different to the YouTube tutorials?
My YouTube tutorial will give you a quick overview. Python Although it covers many of these features, it does not go into detail. This is a great book for hobbyists or absolute beginners. If you’re serious about learning PythonThis course is for YOU.
Learn more https://archive.is/Lc9PT
Here’s what you’ll get in Mosh Hamedani – Complete Python Mastery
Course Features
- Lectures 1
- Quizzes 0
- Duration 50 hours
- Skill level All levels
- Language English
- Students 403
- Assessments Yes
