Hands-On Training for Upcoming Freelance Python Engineers

Duration: This module can vary in duration, but it's often designed as a half-day to full-day training session.

Prerequisites: Participants should have a basic understanding of programming concepts, but prior experience with Python is not required.

Beauty Of This Training

📢 Focus: Python Engineering

📢 Output: successful Participant can earn by doing freelancing from home

📢 Training Duration: 20 hours over one months

📢 Training Time: 10:00 PM (22:00) - 12:00 AM (24:00) GMT+6 [Business Days]

📢 Participation Fee: $150

📢 Mentor: Verified Freelancer M01606319624 @ freelancers.gov.bd

📢 Training Modules: Advanced modules tailored for start Linux freelancing

📢 Target Marketplace: Fiverr | Upwork | Guru.com | Freelancer.com | PPH

📢 Track Training Task: Trello

Training Prerequisite

🏋️ Need To Have Three To Five Years Computer Using Experience.

🚴 Need To Have Willingness, Patience And Concentrations For Participate This Training.

🖥 Need To Have Your Own Laptop/Desktop PC With 200gb Ssd And 8gb Ram (16gb/500gb Recommended).

🕸 Need To Have 24 Hours High Speed Optical Fiber Wired Dedicated Personal Internet Access & Electric.

🆔 Need To Have Government Issued Photo Id (Passport, Nid Or Driving License).

📱 Need To Have Portable Devices For Instant Client Communications.

👓 Need To Have The Capability To Read And Understand English Including Good Typing Skills.

Before join this training please check all training sessions are align and necessary for level up your skills and you are happy to enroll this training from home 🏠

Module Outline:

1. Introduction to Python

   • Brief history and significance of Python.
   • Installing Python (mention different methods like Anaconda, Python.org, etc.).

2. Basic Python Syntax

   • Writing and executing your first Python script (Hello World!).
   • Python's indentation and whitespace rules.
   • Variables and data types (integers, floats, strings, lists, etc.).

3. Control Structures

   • Conditional statements (if, elif, else).
   • Loops (for, while).
   • Using logical operators (and, or, not).

4. Functions

   • Defining and calling functions.
   • Function parameters and return values.
   • Scope of variables (local vs. global).

5. Data Structures

   • Lists, tuples, and dictionaries.
   • Common operations on data structures (e.g., indexing, slicing, iterating).

6. Error Handling

   • Handling exceptions using try and except.
   • Raising custom exceptions.

7. File Handling

   • Opening, reading, and writing to files.
   • Using with statements for file handling.

8. Modules and Libraries

   • Importing and using modules.
   • Overview of commonly used Python libraries (e.g., math, random, datetime).

9. Introduction to Object-Oriented Programming (OOP)

   • Classes and objects.
   • Creating and using classes in Python.
   • Inheritance and polymorphism.

10. Basic Python Projects

    • Simple projects or exercises that allow participants to apply what they've learned (e.g., creating a calculator, a basic game, or a data analysis script).

11. Best Practices and Style

    • PEP 8 and Python coding conventions.
    • Writing clean and readable code.

12. Additional Resources

    • Recommend books, websites, and other resources for further learning.

13. Q&A and Troubleshooting

    • Provide an opportunity for participants to ask questions and address any issues they encountered during the hands-on exercises.

14. Assessment and Feedback

    • Optionally, you can include quizzes or coding challenges to assess participants' understanding.

15. Conclusion and Next Steps

    • Recap of key takeaways.
    • Encourage participants to continue their Python learning journey.

Hands-On Exercises:

Throughout the training module, include hands-on exercises and coding challenges that reinforce the concepts covered. These exercises can be designed to gradually increase in complexity, allowing participants to build confidence in their Python skills.

Note: Depending on the duration and the specific needs of your audience, you may need to adjust the content and depth of each topic. Additionally, consider using interactive development environments (IDEs) or Jupyter notebooks to facilitate the hands-on coding exercises.

Remember that hands-on training is most effective when participants have the opportunity to practice what they've learned. Encourage them to experiment with Python and build small projects to solidify their understanding.