Python is a programming language that lets you work quickly and integrate systems more effectively. Whether you’re new to programming or an experienced developer, it’s easy to learn and use Python.
Learn features, advanced functionalities, unit testing and more in this extensive Python training course.
Training Duration: 5 Days
Minimum private group training class: 5 Participants
- Certificate Of Completion Available
- Group Private Class
- VILT Class Available
- SBL-Khas Claimable
Related training:
For more details, may check out the entire series and blogs at Learn Python with GemRain
This Python training introduces the student to the Python language. On completion of this class the student should feel comfortable with writing Python programs.
This Python course for beginners provides insight to the features of Python that make it an excellent choice for projects of virtually any size.
After completing this course, students will be able to:
- Write Python programs dealing with sequences and mappings, program flow control, system calls and file manipulation.
This course requires participants to meet the following prerequisites:
- Introduction to Unix course or equivalent experience
- Recent programming experience
This Python coding course is designed for those already using Korn shell scripting, Perl, or C programming languages to manipulate files or control processes.
Module 1: Why Python?
- Why do people use Python?
- Is Python a scripting language?
- What can I do with Python?
- What are Python's technical strengths?
Module 2: How Python Runs Programs- Introducing the Python interpreter
- Program execution
- Execution model variations
Module 3: Numbers- Python program structure
- Why use built-in types?
- Numbers
- Python expression Operators
- Numbers in action
- The dynamic typing interlude
Module 4: Strings- String literals
- Strings in action
- String formatting
- String methods
- General type categories
Module 5: Lists & Dictionaries- Lists
- Lists in action
- Dictionaries
- Dictionaries in action
Module 6: Tuples, Files & Everything Else- Tuples
- Files
- Type categories revisited
- Object generality
- References versus copies
- Comparisons, equality, and truth
- Python's type hierarchies
- Other types in Python
- Built-in type gotchas
Module 7: Assignment, Expressions, & Print- Assignment statements
- Expression statements
- Print statements
Module 8: If Test- If statements
- Python syntax rules
- Truth tests
Module 9: While And For Loops- While loops
- Break, continue, pass, and the loop else
- For loops
- Loop variations
Module 10: Function Basics- Why use functions?
- Coding functions
- Definition & calls
- Intersecting sequences
Module 11: Scopes & Arguments- Scope rules
- The global statement
- Scopes and nested functions
- Passing arguments
- Special argument matching modes
Module 12: The Big Picture- Why use modules?
- Python program architecture
- How imports work
Module 13: Coding Basics- Module creation
- Module usage
- Module namespaces
- Reloading modules
Module 14: Packages- Package import basics
- Package import example
- Why use package imports?
Module 15: OOP: The Big Picture- Why use classes?
- OOP from 30,000 feet
Module 16: Class Coding Basics- Classes generate multiple instance objects
- Classes are customized by inheritance
- Classes can intercept python operators
Module 17: Class Coding Details- The class statement
- Methods
- Inheritance
- Operator overloading
- Namespaces
Module 18: Designing with Classes- Python and OOP
- Classes as records
- OOP and inheritance: "is-a" relationships
- OOP and composition: "has-a" relationships
- OOP and delegation
- Multiple inheritance
- Classes are objects: Generic object factories
- Methods are objects: Bound or unbound
- Classes versus modules
Module 19: Exception Basics- Why use exceptions?
- Exception handling: The short story
- The try/except/else statement
- The try/finally statement
- The raise statement
- The assert statement
Module 20: Exception Objects- String-based exceptions
- Class-based exceptions
- General raise statement forms
Module 21: Designing with Exceptions- Nesting exception handlers
- Exception idioms
- Exception design tips
- Exception gotchas
- Core language summary
Module 22: Common Task in Python- Conversions, numbers and comparisons
- Manipulating strings
- Data structure manipulations
- Manipulating files and directories
- Internet-related modules
- Executing programs
- Debugging, testing, timing, profiling
Module 23: Advanced Topics- Web frameworks
- GUI frameworks
- Content management frameworks
Are you looking to take your career to the next level? Python training and certification can be the perfect way to give your resume a competitive edge and open up new opportunities in the tech industry.
Python is a popular and powerful programming language that is widely used in a variety of industries, including finance, data analysis, and web development. With its versatility and growing demand, investing in Python training and certification can be a valuable asset for professionals looking to advance their careers.
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Join the ranks of top professionals and learn Python with our expert-led training and certification courses today.