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Python online course

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Overview:

This course is designed for beginners who want to build a strong foundation in Python programming. It covers essential concepts from basic syntax to more advanced programming techniques, including data structures, functions, and file handling. The course is structured with hands-on examples and exercises to reinforce learning.

By the end of this course, you will be proficient in writing Python scripts, using data structures effectively, and building basic applications.

What you’ll learn:

  • Set up Python environment and write your first Python script.
  • Understand variables, data types, and basic operators.
  • Perform input/output operations and format strings.
  • Implement decision-making using conditional statements (if, elif, else).
  • Use loops (for, while) for repetitive tasks and control flow statements.
  • Define and call functions, including lambda functions and recursion.
  • Understand local and global variable scope.
  • Work with data structures: lists, tuples, dictionaries, and sets.
  • Perform file handling: read/write text, CSV, and JSON files.
  • Handle exceptions using try, except, finally blocks.
  • Debug code using print statements and IDE tools.
  • Apply Object-Oriented Programming (OOP) concepts: classes, objects, inheritance, and polymorphism.
  • Write modular, maintainable, and reusable code.
  • Solve practical problems and build simple applications.
  • Develop foundational coding skills for advanced Python concepts.

Course Content

Module 1: Introduction to Python
Module 2: Data Types
Data Types 2 Topics
Module 3: Python Strings Tutorial
Lesson 1: String Illustrated 1 Topic
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Module 4: Python Numbers Tutorial
Lesson 1: Working with Integers 1 Topic
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Module 5: Python Floats Tutorial
Lesson 1: Working with Floats 1 Topic
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Module 6: Python Booleans Tutorial
Lesson 1: Working with Booleans 1 Topic
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Module 7: Data Structures
Lesson 3: Sets 4 Topics
Lesson 5: Stack 1 Topic
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Lesson 6: Queues 1 Topic
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Module 8: Control Structures
Module 9: Functions and OOP
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FAQs

1. What is Python, and what are the reasons I should study it?

Python is a powerful, beginner-friendly programming language used in web development, data science, machine learning, and automation. Its straightforward nature and adaptability make it ideal for both novices and experts.

2. Is this Python Programming Botcampus suitable for beginners?

Absolutely! This Python programming online course is aimed at beginners who have no previous experience in coding. It covers Python fundamentals and gradually introduces advanced concepts, ensuring a smooth learning curve.

3. What job paths can I explore after finishing this course?

Completing the course prepares you for roles such as Python Developer, Data Analyst, Machine Learning Engineer, Software Developer, and Automation Specialist.

4. How long does the Python Programming Botcampus take to complete?

The Python Online Course is 11 hours and 42 minutes long. If you commit to 1 hour per day, you can complete it in 2 to 3 weeks. Adjustable learning alternatives enable you to learn at a speed that suits you.

5. What skills will I acquire in this Python course?

You’ll learn Python programming basics, data analysis with Pandas, data visualization with Matplotlib, object-oriented programming, and an introduction to APIs and web development.

6. Do I need any prior programming experience to enroll in this course?

No, this course is beginner-friendly and starts from the fundamentals, making it accessible even if you have no prior experience in programming.

7. Will I work on projects during the Python course?

Yes! The course includes practical projects such as creating Python scripts, automating tasks, building data visualizations, and working with APIs to give you real-world coding experience.

8. Which certification will I obtain upon finishing the course?

You’ll receive an industry-recognized certificate upon completion, which you can showcase to demonstrate your Python programming skills to employers.

9. What tools and libraries will I learn in this course?

You’ll work with essential Python tools and libraries such as Jupyter Notebook, Pandas, NumPy, Matplotlib, and Flask, along with guidance on setting up your coding environment.

10. Can this course help me transition into data science or web development?

Yes, this course provides a strong foundation in Python, with modules focusing on data analysis, visualization, and basic web development. It’s an excellent starting point for transitioning into these fields.

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