Introduction to Python 3

Introduction to Python 3, available at $19.99, has an average rating of 4.1, with 48 lectures, 10 quizzes, based on 202 reviews, and has 2536 subscribers.

You will learn about Learn the latest version of the python programming language Write well-tested code that other people can use Learn how to use a high-level programming language to solve real-world computing problems Hands on experience through exercises This course is ideal for individuals who are Programmers familiar with one of more programming languages other than python or Beginner computer programmers curious about the python programming language or Professionals and University Students from non-computing disciplines who require Python skills or Python developers looking to sharpen their skills or Undergraduate or first year college students or India: 10-12th standard students, FY/SY Engineering, FY/SY BSc/BCom/BCS etc students. It is particularly useful for Programmers familiar with one of more programming languages other than python or Beginner computer programmers curious about the python programming language or Professionals and University Students from non-computing disciplines who require Python skills or Python developers looking to sharpen their skills or Undergraduate or first year college students or India: 10-12th standard students, FY/SY Engineering, FY/SY BSc/BCom/BCS etc students.

Enroll now: Introduction to Python 3

Summary

Title: Introduction to Python 3

Price: $19.99

Average Rating: 4.1

Number of Lectures: 48

Number of Quizzes: 10

Number of Published Lectures: 48

Number of Published Quizzes: 10

Number of Curriculum Items: 58

Number of Published Curriculum Objects: 58

Number of Practice Tests: 2

Number of Published Practice Tests: 2

Original Price: $139.99

Quality Status: approved

Status: Live

What You Will Learn

Learn the latest version of the python programming language
Write well-tested code that other people can use
Learn how to use a high-level programming language to solve real-world computing problems
Hands on experience through exercises

Who Should Attend

Programmers familiar with one of more programming languages other than python
Beginner computer programmers curious about the python programming language
Professionals and University Students from non-computing disciplines who require Python skills
Python developers looking to sharpen their skills
Undergraduate or first year college students
India: 10-12th standard students, FY/SY Engineering, FY/SY BSc/BCom/BCS etc students.

Target Audiences

Programmers familiar with one of more programming languages other than python
Beginner computer programmers curious about the python programming language
Professionals and University Students from non-computing disciplines who require Python skills
Python developers looking to sharpen their skills
Undergraduate or first year college students
India: 10-12th standard students, FY/SY Engineering, FY/SY BSc/BCom/BCS etc students.

Python is now the fastest growing programming language in the world, and rapidly rising to the top to become the most popular.

Starting as a niche scripting language, it has evolved over the years to become a much loved and powerful general purpose programming language. It finds use in all walks of life, from web services to embedded systems, from data analysis to artificial intelligence. Most university level engineering and science students must have a grasp of python for numerical and data analysis tasks. Software professionals must also quickly scale up their familiarity with python as it makes rapid strides in the corporate world. Tech majors from Google to IBM, Microsoft, Amazon and Facebook now use python.

This course aims to provide a solid grounding in python for those students who have some understanding of computer programming or already know another programming language. Working professionals who have some familiarity with computer programming or are experts in other programming languages will also benefit from this course. Even if you have already done some programming in python, this course can help you refresh your knowledge and solidify your grasp of the language. The syllabus is modeled after programming languages courses taught in most prestigious universities around the world.

What this course will cover:

Numbers and Strings
Variables, Statements and Expressions
Functions
Lists and Dictionaries
Control Flow and Looping
Sets and Tuples
File and Console I/O
Python Objects and Namespaces
Object Oriented Programming
Functional Programming
Exception Handling
The Python Standard Library
Regular Expressions
Testing and Debugging

The course lectures are organized into Sections. Each Lecture has in-lecture Quizzes, and each Section has a Coding Exercise. There are 2 practice tests — a mid-term exam and a final exam.

Only the Practice Tests and Coding Exercises are graded.

Lectures also include more than 150 live demonstrations of actual python code snippets to explain every concept.

So join this course now, and open the door to new avenues, skills and career opportunities.

Enroll Now! Refer a friend and earn gifts! For details, contact info@tooringanalytics.com.

Course Curriculum

Chapter 1: Introduction to Python

Lecture 1: Installing the Python Interpreter (CPython) on Windows

Lecture 2: Installing the Python Interpreter (CPython) on Linux

Lecture 3: Installing the Python Interpreter (CPython) on OS X

Lecture 4: Introduction

Lecture 5: Numbers and Arithmetic

Lecture 6: Strings

Lecture 7: Objects, Values and Types

Lecture 8: The Python Programming Language

Lecture 9: Running Python Programs

Lecture 10: Recap

Chapter 2: Variables, Expressions and Statements

Lecture 1: Variables

Lecture 2: Statements, Expressions and Operators

Lecture 3: Errors

Lecture 4: String Operations

Lecture 5: Control Flow and Looping

Lecture 6: Recap

Chapter 3: Lists, Dictionaries and Functions

Lecture 1: Lists

Lecture 2: Dictionaries

Lecture 3: Conditional Evaluation

Lecture 4: Functions

Lecture 5: Recap

Chapter 4: More Data Structures and I/O

Lecture 1: Tuples

Lecture 2: Sets

Lecture 3: Useful String Operations

Lecture 4: File Input and Output

Lecture 5: Python Modules

Lecture 6: Advanced Functions

Lecture 7: Recap

Chapter 5: Object Oriented and Functional Programming

Lecture 1: Python Objects

Lecture 2: Python Namespaces

Lecture 3: Object Oriented Programming

Lecture 4: Functional Programming

Lecture 5: Exception Handling

Lecture 6: Raw Strings and f-Strings

Lecture 7: Recap

Chapter 6: The Python Standard Library

Lecture 1: Revisiting Modules and Packages

Lecture 2: The Python Standard Library

Lecture 3: Regular Expressions and the re Package

Lecture 4: Systems Programming Packages

Lecture 5: Other Packages

Lecture 6: Third Party Packages

Lecture 7: Date and Time Processing in Python

Lecture 8: Recap

Chapter 7: Testing and Debugging

Lecture 1: Debugging

Lecture 2: Testing

Lecture 3: Unit Testing

Lecture 4: Integration and Functional Testing

Lecture 5: Recap and Conclusion

Instructors

Anshuman Kanetkar
Founder, Tooring Analytics

Rating Distribution

1 stars: 7 votes
2 stars: 9 votes
3 stars: 50 votes
4 stars: 90 votes
5 stars: 46 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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