Corporate Training

Python

Learn the optimal way to get exposure for python programming, python scripting, python for test automation, python for big data, and data analysis.

Python

Python

During this course, you will learn more about python programming from the basics. You will gain in-depth knowledge of essential concepts like conditional statements, third-party modules, web scraping, shell scripting, error handling, Python web framework Django, etc. You will learn basic and advanced concepts of python programming, a comprehensive understanding of MasterObject-Oriented Programming concepts, Implement loops and conditional statements, expertise in creating python functions, Get familiar with IDEs, and python editors, string manipulations.Gain knowledge in advanced analytics and data visualization concept work by developing algorithms and build real-life applications. Get expertise in file handling

Python

Student Journey

Soon after enrolling in the course, you will get trained by professionals experienced with 10+ of experience. This course got designed for freshers, software developers, professionals with programming experience, testing professionals, project managers, Aspirants who desire to learn python programming, and Individuals looking for career growth in bigdata and python. There are no specific requirements to learn python. Anyone with basic programming knowledge is eligible to take python training. Instructors conduct assignments and doubt clarifications for better understandings. After successful completion of the course, the expert’s advice will be provided based on individuals performance.

Python- Student Journey
Python- Student Journey

Course Content

  • Module: 01
    • A Installing Python
    • Documentation
    • Command Line
    • Variables
    • Simple Python Syntax
    • Keywords
    • Import Module
    • Additional Topics
    • Using Different IDE for python
  • Module: 02
    • If Elif Else
    • Iterable
    • For
    • Loops
    • Execute
    • Exceptions
    • Data Types
  • Module: 03
    • Number Types
    • More Number Types
    • Strings
    • More Strings
    • Files
    • Lists
    • Dictionaries
    • Tuples
    • Sets
  • Module: 04
    • Comprehensions
    • Definitions
    • Functions
    • Default Arguments
    • Doc Strings
    • Variadic Functions
    • Factorial
    • Function Objects
  • Module: 05
    • Lambda
    • Generators
    • Closures
  • Module: 06
    • OOPS
    • Creating Our Own Objects
    • Attributes and Methods
    • @classmethod and @staticmethod
    • Encapsulation
    • Abstraction
    • Private vs Public Variables
    • Inheritance
    • Polymorphism
    • super()
    • Dunder Methods
    • Multiple Inheritance
    • MRO - Method Resolution Order
  • Module: 07
    • The import statement
    • Module search path
    • Creating Modules
    • Using packages
    • Function and Module aliases
  • Module: 08
    • Syntax errors
    • Exceptions
    • Using try/catch/else/finally
    • Handling multiple exceptions
    • Ignoring exceptions
  • Data Science with Python:
    1. Data Science Environment Setup
    2. Over View of Data Science
    3. A glance at Python’s essential libraries
    4. NUMPY For Data Science
    5. Data pre-processing with Numpy; Introducing EDA
    6. Pandas For Data Science
    7. Data loading and pre-processing with pandas
    8. Data Visualization and presentation using seaborn, ggplot and matplotlib
    9. Data Processing

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