Python trainer for Data science, Data Engineering, Test Automation, Embedded, Telecom, Networking
HELLO: have 10+ Years experience in Data engineering/Data Science/ embedded/Telecom/Networking/Application domain Script development and good Teaching and Training experience for grooming up students and experience Professionals in Python script development. I will teach real time examples in Python for Data science, Data engineering, System testing, Regression testing, Automation testing and system administration. SYLLABUS: 1. GETTING STARTED Covers basics of Python programming language. Includes, using interpreter, running scripts and introduction to basic data types. 2. WORKING WITH DATA Introduction to Python's powerful data structures including, lists and dictionaries. Also covers working with files. 3. MODULES AND EXCEPTIONS Introduction to Python module system. Covers imports, pydoc and quick tour of standard library. 4. REGULAR EXPRESSIONS Simple Character Matches, Special Characters, Grouping, Matching at Beginning or End, Match Objects, Substituting and Splitting a String 5. WRITING PYTHON LIBRARIES Covers best practices of writing, documenting, testing and distributing python libraries. ADVANCED PYTHON SYLLABUS:- 6. CLASSES AND OBJECTS Introduction to object-oriented programming with Python. Covers writing classes, object creation, inheritance and exception handling. 7. WORKING WITH THIRD-PARTY MODULES Introduction to installing third-party modules from PyPI 8.TEST AUTOMATION FRAMEWORK & Selenium Test framework Introduction to automation testing using unittest framework, web page testing using Selenium web driver, and Android test suite development. 9.DATABASE PROGRAMMING Introduction, Connections, Executing queries, Transactions and Handling error 10.NETWORKING Socket, Socket Module, Methods, Client and server and Internet modules and ftp/telnet 11. TYPICAL APPLICATIONS XML and HTML parsing, Sub process handling to run Linux commands/tools, Large Data FILE Reading/Writing & Configuration file Reading/Writing. 12.DATA SCIENCE and DATA ENGINEERING: AI, ML implementation with Python Libraries like Pandas, NumPy, SciPy and Scikit-learn