London College Of Online Learning

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£49.00

Duration: 7 Hours 53 Minutes

33 Course Videos

Introduction To Python

Python is developed under an OSI-approved open source license, making it freely usable and distributable, even for commercial use. Python is a general-purpose programming language. Created nearly 30 years ago, it is now one of the most popular languages out there to use. Its popularity is particularly important in the data science and machine learning fields. But it is also a language that is easy to learn, and that is why it has become the language most taught in universities.

Python interpreters are available for the main operating systems as well (Linux, Mac OS, Windows, Android, iOS, BSD, etc.) so it’s very flexible in where it is used. Python has a simple syntax that makes it suitable for learning to program as a first language. The learning curve is smoother than other languages such as Java, which quickly requires learning about Object Oriented Programming or C/C++ that require understanding pointers. Still, it’s possible to learn about OOP or functional programming in Python when the time comes.

Where is Python Used?

Web Development, using the frameworks Django, Flask, Pylons
Data Science and Visualisation using Numpy, Pandas, and Matplotlib
Machine learning with Tensorflow and Scikit-learn
Desktop applications with PyQt, Gtk, wxWidgets, and many more
Mobile applications using Kivy or BeeWare
Education: Python is a great language to learn to program

This course will teach you and show you the basics of Python programming. We will go over concepts like loops, variables, operators, syntax, and coding practices. With each module, we will build upon your knowledge from the previous module. This reinforces all the concepts along the way and at the end of some modules, you will work on exercises to prove to yourself you can do this.

After taking this course you will be ready to move on to a move advanced course allowing you to build on the foundation this course provides. You will be making more sophisticated and more robust programs in no time using your new skills.

For complete information on this certification course, please visit the Python website for details.

Course Videos

This course contains the following modules and videos. Click the down arrow to view video details.

Module 1: Getting Started with Python

Intro to Course and Instructor
Getting Started with Python

Module 2: Working with Primitive Data Types

Working with Primitive Data Types
Working with Primitive Data Types Part 2
Working with Primitive Data Types Part 3
Working with Primitive Data Types Part4
Working with Primitive Data Types Part4 Answers

Module 3: Working with Multiple Assignments Statements

Working with Multiple Assignments Statements

Module 4: Convert Types in Python

Convert Types in Python

Module 5: Creating Lists

Creating Lists

Module 6: Modifying Lists

Modifying Lists

Module 7: Sorting and Reversing Lists

Sorting and Reversing Lists

Module 8: Slicing Lists

Slicing Lists

Module 9: Working With Operators

Working With Operators Part1
Working With Operators Part2
Working With Operators Part3

Module 10: Determining Operator Precedence

Determining Operator Precedence

Module 11: Working with IF Statements

Working with IF Statements

Module 12: Working With For Loops

Working With For Loops

Module 13: Working With While Loops

Working With While Loops

Module 14: Nesting for Loops

Nesting for Loops

Module 15: Reading Files

Reading Files Part1
Reading Files Part2

Module 16: More on Files

More on Files

Module 17: Merging Emails

Merging Emails

Module 18: Reading Console Inputs and Formatting Outputs

Reading Console Inputs and Formatting Outputs

Module 19: Reading Command Line Argument

Reading Command Line Argument

Module 20: Defining Functions

Defining Functions

Module 21: Using Default Argument

Using Default Argument

Module 22: Using Keyword and Positional Arguments

Using Keyword and Positional Arguments

Module 23: Handling Exceptions

Handling Exceptions

Module 24: Using Math and Random Modules

Using Math and Random Modules

Module 25: Displaying Daytime Working Directory and File Metadata

Displaying Daytime Working Directory and File Metadata

Our Learning System Includes

Instructor Led Lectures

All of our IT Courses recreate a real time class experience with a highly qualified and experienced instructor delivering the course’s theories and concepts on screen. All of our lectures are pre-recorded and available to the user 24/7. They can easily be paused, repeated, rewound and fast-forwarded.

Visual Presentations

We understand that all students are different when it comes to learning, therefore different types of delivery mediums are needed in order to achieve success for students. Taking that into account, we deliver our content in a variety of different ways to ensure that students stay engaged and productive throughout their courses.

Mobile Optimisation & Progress Tracking

Our courses are optimised for all mobile devices allowing users to learn on the go whenever they have spare time and wish to do so. Users can access their courses from anywhere and their progress is completely tracked and recorded delivering peace of mind to each and every user.

Practice Quizzes and Exams

Our custom practice exams prepare students for their exams differently and more effectively than the traditional exam preps on the market. Students will have practice quizzes after each module to ensure that they are confident on the topic they are learning.

World Class Learning Management System

We provide the next generation Learning Management System (LMS) to all of our students. This is an experience that combines the feature set of traditional LMS with advanced functionality designed to make learning management easy and online learning engaging from the student’s perspective.