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Python Programming Complete Training
This Python Programming Complete Training course for Consistent Profits has been specially designed to help learners gain a good command of Python Programming Complete Training.
Course Highlights
Are you looking to develop a solid foundation in Python Programming and take your career to the next level? Our comprehensive Python Programming Complete Training course is the perfect solution. Designed by industry experts, this course provides a step-by-step approach to mastering the essential skills and knowledge needed to excel in Python Programming Complete Training. Whether you’re a beginner or an experienced professional, this course will help you understand the key concepts, tools, and techniques used in the field.
Throughout the Python Programming Complete Training course, you’ll gain valuable experience with exercises that will reinforce your learning. Our course module will help you better understand Python Programming Complete Training, ensuring you grasp the fundamental principles and advanced strategies. You’ll also have the opportunity to network with fellow learners and industry professionals, enhancing your learning experience and career prospects.
By the end of the course, you’ll be well-equipped to take on professional roles in Python Programming. You’ll have a solid foundation of knowledge that will make you a valuable asset to any organisation. Plus, you’ll be able to showcase your skills and achievements on your resume, giving you a competitive edge in the job market. Join us today and start your journey to consistent profits and career success with our Python Programming Complete Training course.
Learning outcome
- - Develop a strong understanding of the core concepts in Python Programming.
- - Gain valuable learning experience with exercises.
- - Understand relevant job roles and their responsibilities in Python Programming.
- - Enhance your resume with valuable skills and knowledge.
- - Improve your problem-solving and critical-thinking abilities.
- - Prepare for a successful career in Python Programming.
- - Achieve consistent profits and professional growth.
Course media
Why should I take this course?
- - Learn from seasoned industry experts with deep experience in Python Programming.
- - Boost your resume and differentiate yourself in the competitive job market.
- - Develop a comprehensive understanding and solid foundation in Python Programming.
- - Equip yourself for a variety of professional roles in the field.
- - Achieve steady profits and significant career growth.
- - Upon completing this Python Programming Complete Training, you'll receive a CPD QS Accredited certificate of completion (additional certificate fees apply).
Requirements
- - No prior experience in Python Programming is required.
- - Basic computer skills and internet access.
- - A willingness to learn and apply new concepts.
Course Curriculum
Course Curriculum
| Introduction to Python Programming from A-Z 9 lectures | |||
| Intro To Python Section Overview | 00:06:00 | ||
| What is Python Programming? | 00:10:00 | ||
| Who is This Course For? | 00:05:00 | ||
| Python Programming Marketplace | 00:06:00 | ||
| Python Job Opportunities | 00:05:00 | ||
| How To Land a Python Job Without a Degree | 00:08:00 | ||
| Python Programmer Job Roles | 00:09:00 | ||
| Python from A-Z Course Structure | 00:04:00 | ||
| Getting Familiar with Python | |||
| Getting Familiar with Python Section Overview | 00:06:00 | ||
| Installing Python on Windows | 00:10:00 | ||
| Anaconda and Jupyter Notebooks Part 1 | 00:08:00 | ||
| Anaconda and Jupyter Notebooks Part 2 | 00:16:00 | ||
| Python Syntax | 00:02:00 | ||
| Line Structure | 00:03:00 | ||
| Line Structure Exercise | 00:07:00 | ||
| Comments | 00:05:00 | ||
| Joining Lines | 00:05:00 | ||
| Multiple Statements on a Single Line | 00:05:00 | ||
| Indentation | 00:08:00 | ||
| Basic Data Types | |||
| Basic Data Types Section Overview | 00:08:00 | ||
| Python Variables | 00:08:00 | ||
| Integers and Floats | 00:08:00 | ||
| String Overview | 00:10:00 | ||
| String Manipulation | 00:07:00 | ||
| String Indexing | 00:04:00 | ||
| String Slicing | 00:08:00 | ||
| Boolean | 00:05:00 | ||
| Printing | 00:10:00 | ||
| Mini Project 1 : Letter Counter | 00:20:00 | ||
| Python Operators | |||
| Python Operators Section Overview | 00:04:00 | ||
| Arithmetic Operators | 00:08:00 | ||
| Comparison Operators | 00:09:00 | ||
| Logical Operators | 00:13:00 | ||
| Identity Operators | 00:05:00 | ||
| Membership Operators | 00:02:00 | ||
| Bitwise Operators | 00:08:00 | ||
| Advanced Data Types | |||
| Python Advanced Data Types Section Overview | 00:11:00 | ||
| List Overview | 00:05:00 | ||
| List Slicing and Indexing | 00:04:00 | ||
| Tuples | 00:02:00 | ||
| Sets | 00:06:00 | ||
| Dictionaries | 00:11:00 | ||
| When to use each one? | 00:05:00 | ||
| Compound Data Types | 00:03:00 | ||
| Control Flow Part 1 | |||
| Control Flow Part 1 Section Overview | 00:15:00 | ||
| Intro to Control Flow | 00:01:00 | ||
| Basic Conditional Statements | 00:14:00 | ||
| More Conditional Statements | 00:05:00 | ||
| For Loops | 00:10:00 | ||
| Control Flow Part 2 | |||
| While Loops | 00:12:00 | ||
| Control Flow Part 2 Section Overview | 00:02:00 | ||
| Break Statements | 00:08:00 | ||
| Continue Statements | 00:05:00 | ||
| Zip Function | 00:07:00 | ||
| Enumerate Function | 00:04:00 | ||
| List Comprehension | 00:04:00 | ||
| Python Functions | |||
| Python Functions Section Overview | 00:03:00 | ||
| Intro to Functions | 00:02:00 | ||
| Python help Function | 00:03:00 | ||
| Defining Functions | 00:09:00 | ||
| Variable Scope | 00:08:00 | ||
| Doc Strings | 00:04:00 | ||
| User Input and Error Handling | |||
| User Input and Error Handling Section Overview | 00:02:00 | ||
| Introduction to error handling | 00:03:00 | ||
| User Input | 00:04:00 | ||
| Syntax Errors | 00:04:00 | ||
| Exceptions | 00:11:00 | ||
| Handling Exceptions Part 1 | 00:08:00 | ||
| Python Advanced Functions | |||
| Python Advanced Functions Section Overview | 00:05:00 | ||
| Lambda Functions | 00:05:00 | ||
| Functions args and kwargs | 00:10:00 | ||
| Iterators | 00:08:00 | ||
| Generators and Yield | 00:12:00 | ||
| Map Function | 00:14:00 | ||
| Python Scripting and Libraries | |||
| Python Scripting and Libraries Section Overview | 00:05:00 | ||
| What is a script? | 00:01:00 | ||
| What is an IDE? | 00:17:00 | ||
| What is a text editor? | 00:12:00 | ||
| From Jupyter Notebook to VScode Part 1 | 00:15:00 | ||
| Importing Scripts | 00:03:00 | ||
| Standard Libraries | 00:04:00 | ||
| Third Party Libraries | 00:06:00 | ||
| NumPy | |||
| NumPy Section Overview | 00:04:00 | ||
| Why use NumPy? | 00:04:00 | ||
| NumPy Arrays | 00:10:00 | ||
| Reshaping, Accessing, and Modifying | 00:07:00 | ||
| Slicing and Copying | 00:06:00 | ||
| Inserting, Appending, and Deleting | 00:10:00 | ||
| Array Logical Indexing | 00:04:00 | ||
| Broadcasting | 00:08:00 | ||
| Pandas | |||
| Intro to Pandas | 00:17:00 | ||
| Pandas DataFrame | 00:17:00 | ||
| Pandas DataFrame Manipulation | 00:13:00 | ||
| Dealing with Missing Values | 00:10:00 | ||
| Intro to OOP | |||
| Functional vs OOP | 00:06:00 | ||
| OOP Key Definitions | 00:04:00 | ||
| Create your First Class | 00:12:00 | ||
| How to Create and Use Objects | 00:06:00 | ||
| How to Modify Attributes | 00:12:00 | ||
| Advanced OOP | |||
| Python Decorators | 00:27:00 | ||
| Class Method Decorator | 00:07:00 | ||
| Static Methods | 00:10:00 | ||
| Inheritance from A to Z | 00:21:00 | ||
| Starting a Career in Python | |||
| Getting Started with Freelancing | 00:09:00 | ||
| Building A Brand | 00:12:00 | ||
| Personal Branding | 00:13:00 | ||
| Importance of Having Website/Blog | 00:04:00 | ||
| Do’s and Don’ts of Networking | 00:06:00 | ||
| Creating A Python Developer Resume | 00:06:00 | ||
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1 Year Access 
122 Students 
14 hours, 2 minutes