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Learn A-Z of Python Programming

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February 10, 2025

Learn A-Z of Python Programming

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Back-end Programming, Front-end Programming

Learn A-Z of Python Programming for Beginners

Embark on an exciting journey into the world of Python programming! This comprehensive course is designed for absolute beginners, guiding you through the ultimate fundamentals of Python. You’ll delve into essential concepts such as variables, data types, control structures, and functions. With hands-on projects and interactive exercises, you’ll gain practical skills and confidence to create your own applications. By the end, you’ll have a solid foundation to tackle more advanced topics and unleash your creativity with Python. Join us and start coding today!

What Will I Learn?

  • Python's combination of simplicity, versatility, and powerful libraries makes it an ideal choice for a wide range of programming tasks, from web development to data science. Its growing popularity continues to influence the tech landscape, making Python a valuable skill for aspiring developers.

Course Content

Python Course Introduction

  • Python Course Introduction
    30:59
  • Python Course Curriculum
    10:19
  • Command Line Basics in Python
    06:11
  • What is New in Python
    00:00
  • Python Installation
    05:39
  • PyCharm CE IDE Installation
    05:35
  • Setting Up Your Python Environment
    06:50
  • Running Python Code
    09:57
  • Git and GitHub Overview
    03:53
  • Python Data Types
    08:38
  • Python Arithmetic Operators and Numbers
    00:00
  • Variable Assignments in Python
    15:16
  • Indexing and Slicing with Strings in Python
    08:20
  • String Properties and Methods in Python
    11:53
  • Formatting Strings in Python
    06:57
  • Lists in Python
    11:57
  • Dictionaries in Python
    06:31
  • Tuples in Python
    09:07
  • Comparison Operators in Python
    14:51
  • Logical Operators in Python
    08:21
  • For Loops in Python
    07:33
  • While Loops in Python
    04:27
  • Functions in Python
    06:48
  • Methods in Python
    11:03
  • List Methods in Python
    11:15

Introduction to Object-Oriented Programming in Python
Embark on your journey into the world of Object-Oriented Programming (OOP) with our "Introduction to Object-Oriented Programming in Python" course! This course is designed for beginners who want to understand the core concepts of OOP and how to apply them in Python, enabling you to create more organized and scalable code.

₦100,000.00 ₦200,000.00
  • Intermediate
  • 0 Total Enrolled
  • 7 hours 28 minutes Duration
  • February 10, 2025 Last Updated
Durations: 7 hours 28 minutes
Lectures: 46
Students: Max 0
Level: Intermediate
Language:
Certificate:

Audience

  • The targeted audience for Python programming is diverse and includes:
  • 1. *Beginners:
  • - Individuals new to programming, including students and hobbyists looking for an accessible entry point.
  • 2. *Web Developers:
  • - Developers building web applications using frameworks like Django and Flask, seeking to create dynamic, scalable websites.
  • 3. Data Scientists and Analysts:
  • - Professionals working with data who need tools for data analysis, visualization, and manipulation using libraries like Pandas and NumPy.
  • 4. Machine Learning Engineers:
  • - Those interested in artificial intelligence and machine learning, utilizing libraries like TensorFlow and Scikit-learn.
  • 5. Automators and DevOps Engineers:
  • - Professionals automating tasks, scripts, and workflows, as well as those managing infrastructure using Python tools.
  • 6. Game Developers:
  • - Developers creating games using libraries like Pygame, exploring both educational and commercial projects.
  • 7. Academics and Researchers:
  • - Researchers in fields like scientific computing, bioinformatics, and physics who rely on Python for simulations and data analysis.
  • 8. System Administrators:
  • - IT professionals automating system tasks and managing server configurations through Python scripts.
  • 9. Finance and Quantitative Analysts:
  • - Professionals in finance using Python for algorithmic trading, risk management, and financial modeling.
  • Overall, Python appeals to a wide range of audiences due to its versatility and ease of use.