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2021 Python Programming From Beginner to Expert

2021 Python Programming From Beginner to Expert

By John Academy

4.3(43)
  • 30 Day Money Back Guarantee
  • Completion Certificate
  • 24/7 Technical Support

Highlights

  • On-Demand course

  • 15 hours 28 minutes

  • All levels

Description

Course Overview

Find the ultimate Python Developer roadmap by taking this 2021 Python Programming From Beginner to Expert course. Through this course, you will gain the fundamental skills to create your Python programs from scratch.

In this step-by-step 2021 Python Programming From Beginner to Expert course, you will learn core Python skills from beginners to advanced features. The training begins by outlining the software installation procedure, guiding you through a series of Python basic data types, Python operators, advanced data types, Python functions and loops. You will learn how to handle errors in Python and comprehend the advanced functions in Python. The skills you develop in the program will enable you to create and run your first Python project.

Enroll today and take your Python programming skills to the next level!

Learning Outcomes
  • Learn how to install Python on various operating systems

  • Gain in-depth knowledge of the basic data types in Python

  • Strengthen your knowledge of Python operators

  • Learn about Python advanced data types

  • Deepen your understanding of Python advanced functions

  • Learn step-by-step how to handle errors

Who is this course for?

Anyone interested in learning Python programming and exploring the path to become a Python developer can take this 2021 Python Programming From Beginner to Expert course. This course opens the door for tremendous opportunities.

Entry Requirement
  • This course is available to all learners, of all academic backgrounds.

  • Learners should be aged 16 or over to undertake the qualification.

  • Good understanding of English language, numeracy and ICT are required to attend this course.

Certification
  • After you have successfully completed the course, you will be able to obtain an Accredited Certificate of Achievement. You can however also obtain a Course Completion Certificate following the course completion without sitting for the test. Certificates can be obtained either in hardcopy at the cost of £39 or in PDF format at the cost of £24.

  • PDF certificate's turnaround time is 24 hours, and for the hardcopy certificate, it is 3-9 working days.

Why choose us?
  • Affordable, engaging & high-quality e-learning study materials;

  • Tutorial videos/materials from the industry-leading experts;

  • Study in a user-friendly, advanced online learning platform;

  • Efficient exam systems for the assessment and instant result;

  • The UK & internationally recognized accredited qualification;

  • Access to course content on mobile, tablet or desktop from anywhere anytime;

  • The benefit of career advancement opportunities;

  • 24/7 student support via email.

Career Path

The 2021 Python Programming From Beginner to Expert course would be beneficial for any related profession or industry such as:

  • Python Developer

  • Python Programmer

  • Product Manager

  • Data Analyst

Module 01: Introduction to Python Programming from A-Z

Introduction To Python Section Overview

00:05:00

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

Module 02: 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

Comments

00:05:00

Python Syntax

00:02:00

Line Structure

00:03:00

Line Structure Exercise

00:07:00

Joining Lines

00:05:00

Multiple Statements on a Single Line

00:05:00

Indentation

00:08:00

Module 03: Basic Data Types

Basic Data Types Section Overview

00:08:00

String Overview

00:10:00

String Manipulation

00:07:00

String Indexing

00:04:00

String Slicing

00:08:00

Printing

00:10:00

Python Variables

00:08:00

Integers and Floats

00:08:00

Booleans

00:05:00

Mini Project 1 : Letter Counter

00:20:00

Module 04: Python Operators

Python Operators Section Overview

00:04:00

Comparison Operators

00:09:00

Arithmetic Operators

00:08:00

Assignment Operators

00:04:00

Logical Operators

00:13:00

Identity Operators

00:05:00

Membership Operators

00:02:00

Bitwise Operators

00:08:00

Module 05: Advanced Data Types

Python Advanced Data Types Section Overview

00:11:00

Sets

00:06:00

List Overview

00:05:00

List Slicing and Indexing

00:04:00

Tuples

00:02:00

Dictionaries

00:11:00

When to use each one?

00:05:00

Compound Data Types

00:03:00

Module 06: Control Flow Part 1

Control Flow Part 1 Section Overview

00:15:00

Introduction to Control Flow

00:01:00

Basic Conditional Statements

00:14:00

More Conditional Statements

00:05:00

For Loops

00:10:00

While Loops

00:12:00

Module 07: Control Flow Part 2

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

Module 08: Python Functions

Python Functions Section Overview

00:03:00

Introduction to Functions

00:05:00

Python help Function

00:03:00

Defining Functions

00:09:00

Variable Scope

00:08:00

Doc Strings

00:04:00

Module 09: 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

Handling Exceptions Part 2

00:08:00

Module 10: 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

Filter Function

00:08:00

Module 11: 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

From Jupyter Notebook to VScode Part 2

00:05:00

Importing Scripts

00:03:00

Standard Libraries

00:04:00

Third Party Libraries

00:06:00

Module 12: NumPy

NumPy Section Overview

00:04:00

Introduction to NumPy

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

Module 13: Pandas

Introduction to Pandas

00:17:00

Pandas Series

00:17:00

Pandas Series Manipulation

00:17:00

Pandas DataFrame

00:17:00

Pandas DataFrame Manipulation

00:13:00

Dealing with Missing Values

00:10:00

Module 14: Introduction 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

Module 15: Advanced OOP

Python Decorators

00:27:00

Property Decorator

00:09:00

Class Method Decorator

00:07:00

Static Methods Decorator

00:10:00

Inheritance

00:21:00

Module 16: Starting a Career in Python

Python Career Section Overview

00:06:00

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

Networking Do's and Don'ts

00:04:00

Top Freelance Websites

00:08:00

Creating A Python Developer Resume

00:06:00

Resources

Resources - Python Programming Beginner to Expert Course

00:00:00

Certificate and Transcript

Order Your Certificates and Transcripts

00:00:00

About The Provider

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