Introduction to Python
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Introduction to Python

Learn the Python Programming Language
0.0 (0 ratings)
Course Ratings are calculated from individual students’ ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately.
4 students enrolled
Last updated 2/2020
English
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Current price: $13.99 Original price: $19.99 Discount: 30% off
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This course includes
  • 9.5 hours on-demand video
  • Full lifetime access
  • Access on mobile and TV
  • Assignments
  • Certificate of Completion
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What you'll learn
  • The Python Programming Language
  • Data Types
  • Assignment Statements
  • Lists
  • Working with Operators
  • IF Statements
  • Loops
  • Command Line Arguments
  • Handling Exceptions
  • and More
Requirements
  • This program is for all wanting to learn the Python Programming Language
Description

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’s 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 Visualization 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!

How much can you make?

The average salary for a Python Developer is $117,155 per year in the United States. You can just search for Python jobs and see the ranges from $20/hr to over $40/hr

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.


Who this course is for:
  • Anyone and everyone wanting to learn the Python Programming Language
Course content
Expand all 33 lectures 09:23:52
+ Working with Primitive Data Types
5 lectures 01:01:53
Working with Primitive Data Types
19:27
Working with Primitive Data Types pt.2
21:46
Working with Primitive Data Types pt.3
14:14
Working with Primitive Data Types pt.4
01:20
Working with Primitive Data Types pt.5
05:06
Practice file to use for Section 2
Section 2
1 question
+ Working with Multiple Assignments Statements
1 lecture 16:20
Working with Multiple Assignments Statements
16:20
Practice file to use for Section 3
Section 3
1 question
+ Convert Types in Python
1 lecture 09:11
Convert Types in Python
09:11
Practice file to use for Section 4
Section 4
1 question
+ Creating Lists
1 lecture 11:48
Creating Lists
11:48
Practice file to use for Section 5
Section 5
1 question
+ Modifying Lists
1 lecture 30:31
Modifying Lists
30:31
Practice file to use for Section 6
Section 6
1 question
+ Sorting and Reversing Lists
1 lecture 15:00
Sorting and Reversing Lists
15:00
Practice file to use for Section 7
Section 7
1 question
+ Slicing Lists
1 lecture 18:39
Slicing Lists
18:39
Practice file to use for Section 8
Section 8
1 question
+ Working With Operators
3 lectures 01:27:50
Working With Operators
32:38
Working With Operators pt.2
27:20
Working With Operators pt.3
27:52
Practice file to use for Section 9
Section 9
1 question
+ Determining Operator Precedence
1 lecture 12:11
Determining Operator Precedence
12:11
Practice file to use for Section 10
Section 10
1 question