Tutorialspoint

Python Programming

Learn Python Programming the easy way, with hands-on demos, lesson end quizzes and course end project

Course Description

Python is the future of Artificial Intelligence and Machine LearningAdrian Rosebrock, Author.

Python is the most loved programming languages by developers, data scientists, software engineers, and even hackers.

This Python Training course covers the fundamental concepts of Python programming and ways to apply this to real-world applications. The course modules, lesson-end quizzes and lesson-end project collectively covers the training course topics such as data operations, strings, file I/O, exception handling, error handling, conditional statements, CGI programming, shell scripting, web scraping and Django.

Why learn Python:

1. Easy to learn

2. Easy to use

3. Open source

4. Lot of python libraries and frameworks

5. Preferred language to use in data science

6. Preferred language to use in analytics and visualization

7. Used for building websites

8. Used for automating tasks

And last but not the least, an experienced python developer earns an average salary of $110 K per year.

Increase your in-depth understanding of Python's design, memory models, object-arranged highlights, information and be industry prepared.

This course comprises of the self-paced videos, 18 demos, 30 lesson-end quizzes and a competitive course-end project.

Who uses Python?

As python is a general-purpose language, it is used in a variety of fields and industries:

  • Software engineer

  • Developer

  • Data analyst

  • Data scientist

  • Ethical hacker/penetration tester

  • Cloud architect

  • QA engineer

So come join this course and become a Python Programmer and be part of the one of most popular programming languages.

Who this course is for:

  • Software Developers
  • Programming Enthusiasts
  • Technical Leads
  • Architects


Goals

  • From a beginner level to a confident level Python programming
  • Configuration of Development Environment
  • Python Standard Libraries
  • Variables, Arrays, and String Functions
  • Control Statements and Loops
  • Python Collections (Arrays)
  • Functions and Exceptions in Python
  • Classes, Objects and Regular Expressions
  • Networking and Database Access using Python and CGI Programming
  • XML Processing and GUI Programming
  • Python for Data Science- Data Frame & Data Visualization

Prerequisites

  • There are no prerequisites
Show More

Curriculum

  • Course Introduction
    01:50
Tutorialspoint
Tutorialspoint
Tutorialspoint
Tutorialspoint
Tutorialspoint
Feedbacks
4.5
Course Rating
50%
50%
0%
0%
0%

    Feedbacks (2)

  • Sivakrishna Singavarapu
    Sivakrishna Singavarapu

  • Anubhav Maheshwari
    Anubhav Maheshwari

Python Programming
This Course Includes
  • 3.5 hours
  • 62 Lectures
  • Completion Certificate Sample Certificate
  • Lifetime Access Yes
  • Language English
  • 30-Days Money Back Guarantee

Sample Certificate

Use your certification to make a career change or to advance in your current career. Salaries are among the highest in the world.

We have 30 Million registered users and counting who have advanced their careers with us.

X

Sample Certificate