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Comprehensive Python Programming Training For Freshers To Become A Pro in Python

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Objectives

The Python course aims to provide a comprehensive understanding of Python programming, from foundational concepts to advanced application development. Participants will learn fundamental programming principles, object-oriented programming, and DevOps practices. Through hands-on exercises, they'll master Python syntax, virtual environments, and popular IDEs like Jupyter Notebook and Google Colab.

The course emphasizes strong logic and problem-solving skills with decision-making structures and looping constructs. Additionally, learners will explore advanced topics such as numeric and string processing, exception handling, and web development frameworks like Flask and Django. The ultimate goal is to enable participants to design, develop, and deploy full-stack web applications efficiently.

Course Outcome

Grasp fundamental programming concepts, including data types, variables, and control flow, along with an introduction to object-oriented programming.
Acquire knowledge of the Application Development Life Cycle (ADLC) and its importance in software development projects. Gain proficiency in Python syntax, working with virtual environments, and utilizing popular IDEs like Jupyter Notebook and Google Colab.
Understand Python tokens such as keywords, variables, constants, and operators for effective code construction. Master decision-making structures, looping constructs, and implement PyTest for continuous testing to ensure code reliability.
Explore numeric and string processing functions, including handling date/time data, lists, tuples, dictionaries, and sets. Learn to implement various functions, modules, and libraries, including user-defined, lambda, and recursive functions, along with file input/output operations.
Delve into advanced topics such as exception handling, regular expressions (Regex), CGI scripting, and web development frameworks like Flask and Django Design, develop, and deploy a full-stack web application.
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Course Preview

  • Concepts of programming, programming languages, generations, types, OOPS, DevOps, Scrum, Git
  • Concepts of Application Development Life Cycle (ADLC)
  • Concepts of Python, Virtual Environment, Features, Basic Syntax,IDE, Google Collab, Jupyter Notebook
  • Concepts Of Keywords, Variables, Constants, Dat Types, Operators
  • Concepts of Decision Making, Branching, Loops, iterations, Switching
  • Concepts of if, then, else
  • Concepts of While, For, Do while loops
  • Implementing PyTest for Continuous Testing
  • Concepts of functions, Modules, Library, Package, Framework
  • Implementing Numeric Functions and numeric data structures
  • Concepts of string processing
  • Implementing String Functions
  • Concepts of Time Series, Historical Data, Bi-directional Chronological Data
  • Implementing Date/Time Functions
  • Concepts of Data processing, List and Tuple processing
  • Implementing List and Tuple processing
  • Concepts of No SQL Data processing, Dictionary and Set processing
  • Implementing Dictionary and Set processing
  • Concepts of functions, Modules and library
  • Implementing inbuilt functions, user defined functions, library functions, lambda and recursive functions
  • Concepts of monitoring, tracing, testing, identification, logging, messaging, debugging, report generation
  • Implementing Exception Handling and OOPS
  • Concepts of Regex, CGI, REST, Client, Server, Multiprocessing, Parallel Processing, Disributed processing
  • Implementing Regex, CGI, Multiprocessing, Parallel Processing
  • WSGI, JInga2, Micro Framework for Web Server, Web application, FlaskCGI
  • Routing, Logging, Testing, Templates, Sessions,Messaging, Error Handling
  • Implementing database CRUD operations in SQLite, Mail, WTF
  • Concepts of API, MVC, MVT, Django
  • Implementing Django
  • Concepts of App architecture and development
  • Implementing Django
  • Concepts of Models, Views, URL's, Admin
  • Implementing Django
  • Design, development, and deployment of Full Stack Web application in Python