Faysal AzizPython (OJT) Part II
Advanced Implementation and Issue Resolution
Why this course
Welcome to the Advanced Python On-the-Job Training (OJT) course! This advanced training is designed to address deeper issues and ensure that the knowledge and skills gained from the initial Python courses are being effectively implemented in your daily work. We will focus on refining your Python capabilities, troubleshooting complex problems, and optimizing your workflows for maximum efficiency. This course will provide hands-on guidance, practical solutions, and advanced techniques to elevate your Python proficiency to the next level.
Learning outcomes
By the end of this course, participants will be able to:
- Identify and resolve advanced issues in Python scripts and workflows.
- Implement best practices for code optimization and performance enhancement.
- Develop advanced data manipulation and analysis techniques.
- Integrate Python with other tools and technologies used in their job.
- Apply advanced Python features and libraries to complex tasks.
- Ensure the robust and efficient implementation of Python solutions in their work.
Prerequisites
To get the most out of this course, participants should have:
- Completion of the initial Python refresher and OJT courses.
- Proficiency in basic and intermediate Python programming.
- Experience with using Python in their job-specific tasks.
- Willingness to engage in advanced problem-solving and optimization exercises.
12 modules
01Review of Previous Learning and Implementation3 topics
- Recap of key concepts from initial courses
- Discussion on implementation experiences and challenges
- Assessing current proficiency and areas for improvement
02Advanced Python Techniques4 topics
- Advanced data structures (sets, frozensets, tuples)
- List comprehensions and generator expressions
- Decorators and context managers
- Advanced functions and lambda expressions
03Optimizing Python Code4 topics
- Profiling and benchmarking code performance
- Identifying and resolving performance bottlenecks
- Techniques for optimizing data processing and manipulation
- Utilizing efficient data structures and algorithms
04Advanced Data Manipulation and Analysis4 topics
- Complex data transformations with pandas
- Advanced merging, joining, and concatenating techniques
- Handling large datasets and memory optimization
- Advanced data visualization techniques with matplotlib and seaborn
05Troubleshooting and Debugging4 topics
- Common advanced errors and exceptions
- Debugging complex scripts and workflows
- Using advanced debugging tools and techniques
- Writing and running unit tests to ensure code reliability
06Integration with Other Tools and Technologies4 topics
- Connecting Python with databases and SQL
- Integrating Python with web services and APIs
- Automating tasks with Python and shell scripting
- Using Python with other data analysis tools (Excel, BI tools)
07Advanced Data Wrangling for Real-World Applications3 topics
- Case studies and real-world scenarios
- Practical exercises tailored to job-specific tasks
- Hands-on projects to apply advanced techniques
08Ensuring Robustness and Efficiency4 topics
- Writing clean, maintainable, and scalable code
- Implementing best practices for code documentation
- Using version control (Git) for code management
- Ensuring data integrity and quality
09Collaborative Problem Solving and Peer Learning3 topics
- Group discussions on advanced problems and solutions
- Peer reviews and feedback sessions
- Sharing insights and best practices among participants
10Custom Projects and Advanced Assignments3 topics
- Working on complex, job-specific projects
- Continuous guidance and support from the trainer
- Presentations and feedback on project implementations
11Continuous Learning and Improvement3 topics
- Identifying resources for ongoing learning
- Setting goals for future skill development
- Strategies for staying updated with the latest Python advancements
12Wrap-Up and Next Steps3 topics
- Summary of advanced concepts and techniques learned
- Q&A and open discussion
- Planning for future training and skill enhancement
This advanced Python OJT course is designed to help you tackle deeper issues and ensure that the skills acquired from the previous courses are effectively implemented in your work. By focusing on advanced techniques and real-world applications, we aim to refine your Python proficiency and empower you to handle complex tasks with confidence and efficiency. Let's dive deeper into Python and take your skills to the next level!
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