TechPledge Certified Python Expert

• Lectures (PDF)
•  Lab Manual (PDF)
• Recorded Video
• AWS Pass/Azure Pass

- Writing effective and scalable Python code for various applications
- Developing back-end components and web services to improve performance and functionality
- Integrating user-facing elements and front-end technologies with Python applications
- Testing and debugging Python programs to ensure quality and reliability
- Implementing security and data protection solutions for Python applications
- Assessing and prioritizing feature requests from clients or stakeholders

- Introduction to Python
  - What is Python and why use it?
  - Installing Python and setting up the environment
  - Running Python scripts and using the interactive shell
  - Basic syntax, variables, data types and operators
- Control Structures and Functions

  - Conditional statements and loops
  - Writing and calling functions
  - Scope, parameters and return values
  - Lambda expressions and built-in functions
- Data Structures and Algorithms

  - Lists, tuples, sets and dictionaries
  - List comprehensions and generators
  - Sorting, searching and slicing
  - Recursion and dynamic programming
- Object-Oriented Programming

  - Classes, objects and methods
  - Inheritance and polymorphism
  - Encapsulation and abstraction
  - Multiple inheritance and mixins
- Modules and Packages

  - Importing and using modules
  - Creating and organizing packages
  - The standard library and third-party modules
  - Virtual environments and pip
- File Handling and Exceptions

  - Reading and writing files
  - Working with text, binary and JSON files
  - Handling errors and exceptions
  - Using try-except-finally blocks
- Web Development with Flask

  - Creating a Flask app and routing requests
  - Rendering templates and using Jinja2 syntax
  - Handling forms and user input
  - Working with databases and SQLAlchemy
- Data Analysis with Pandas

  - Loading and manipulating data with Pandas
  - Exploring and visualizing data with Matplotlib
  - Performing statistical analysis with SciPy
  - Building machine learning models with scikit-learn

Note: For detailed syllabus and lab , please book a demo or email us at info@techpledges.com.”