Python Programming

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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
  1. Course Introduction
  2. Python Basics
  3. Data Operations
  4. Conditional Statements and Functions
  5. Error Handling and File Operations
  6. Shell Scripting and Django
  • General-purpose, high-level programming language.
  • Easy-to-read syntax emphasizing code readability and simplicity.
  • Widely used for web development, scientific computing, data analysis, artificial intelligence, and automation.
  • Extensive standard library and a large ecosystem of third-party packages.
  • Supports multiple programming paradigms, including procedural, object-oriented, and functional programming.
  • Interpreted language with a dynamic type system.
  • Cross-platform compatibility (Windows, macOS, Linux).
  • Interactive shell (REPL) for testing and experimenting with code.
  • Strong community support with active online forums, tutorials, and resources.
  • Used by tech giants like Google, Facebook, Instagram, and NASA.
  • Named after Monty Python’s Flying Circus comedy show.
  • Created by Guido van Rossum and first released in 1991.
  • Open-source language with an active development community.
  • Version 3.x introduced significant improvements over Python 2.x, including better Unicode support and syntax enhancements.
  • Popular frameworks include Django (web development), Flask (microframework), and NumPy (scientific computing).
  • Supports integration with other languages like C, C++, and Java.
  • Continuous growth and evolution with regular updates and new features.

About this Course

  • Duration 4 Weeks
  • Certificate on Completion
  • Level Beginner
  • Price UGX 500,000 350,000

Enroll Now