What is Certified Python Developer?
Datamites Team
A Certified Python Developer Course provides comprehensive training in Python, beginning with the fundamentals and advancing to more complex topics. The course aims to furnish learners with high-level python skills, preparing them for various roles in software development and data analysis.
Recognized By IABAC, DataMites offers a Platinum Partner Python Developer Training, spanning four months. This program includes python developer internship opportunities and live projects, ensuring practical experience alongside theoretical learning.
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The Certified Python Developer Program encompasses a range of modules aimed at providing job-oriented training. Here are the 12 courses included in the Python Developer track:
- Python Basics
- Python Control Statements
- Python Data Structures
- Python Functions
- Python NumPy Package
- Python Pandas Package
- Python OOPs Basics
- Python File Management
- Python Exception Handling
- Application Programming Interface (API)
- Flask Application Deployment
- Python Project
Python Basics - Introduces fundamental concepts and syntax of the Python programming language.
What will be covered - Introduction of python, Installation of Python and IDE, Python objects, Python basic data types, Number & Booleans, strings, Arithmetic Operators, Comparison Operators, Assignment Operators, Operator’s precedence and associativity.
Python Control Statements - Covers conditional and iterative control flow statements like if, else, and loops.
What will be covered - IF Conditional statement, IF-ELSE, NESTED IF, Python Loops basics, WHILE Statement, FOR statements, BREAK and CONTINUE statements.
Python Data Structures - Focuses on built-in data structures such as lists, tuples, dictionaries, and sets.
What will be covered - Basic data structure in python, String object basics and inbuilt methods, List: Object, methods, comprehensions, Tuple: Object, methods, comprehensions, Sets: Object, methods, comprehensions, and Dictionary: Object, methods, comprehensions.
Python Functions - Teaches the creation and usage of functions for code organization and reusability.
What will be covered - Functions basics, Function Parameter passing, Iterators, Generator functions, Lambda functions, and Map, reduce, filter functions.
Python Numpy Package - Introduces NumPy, a library for numerical computing in Python, with support for arrays and matrices.
What will be covered - NumPy Introduction, Array – Data Structure, Core Numpy functions, and Matrix Operations.
Python Pandas Package - Introduces Pandas, a library for data manipulation and analysis, particularly suited for working with tabular data.
What will be covered - Pandas functions, Data Frame and Series – Data Structure, Data munging with Pandas, and Imputation and outlier analysis.
Pythos Oops Basics - Covers Object-Oriented Programming (OOP) concepts like classes, objects, inheritance, and polymorphism.
What will be covered - Oops basic concepts, Creating classes, Inheritance, Polymorphism, Encapsulation and Abstraction, Decorator, Class methods and static methods, Special (magic/dunder) methods, and Property decorators - getters, setters, and deletes.
Python File Management - Focuses on reading from and writing to files, as well as file manipulation tasks.
What will be covered - Working with Files, Reading and Writing files, Buffered read and Write, Other File Methods, Logging & Debugger, and Modules and Import Statements.
Python Exception Handling - Deals with handling errors and exceptions gracefully in Python programs.
What will be covered - Exceptions handling with try-except, Custom exception handling, List of general use exception, and Best practice exception handling.
Application Programe Interface (Api) - Introduces the concept of APIs for communication between software systems, often using JSON or XML.
What will be covered - What is web API, Difference b/w API and web API, Rest and soap architecture, and Restful services.
Flask Application Deployment - Teaches deploying web applications using Flask, a lightweight web framework for Python.
What will be covered - Introduction to Flask, Flask application, Open link flask, App routing flask, URL building flask, HTTP methods flask, and Templates flask.
Python Project - A culmination module where students apply their knowledge to develop a complete Python project, integrating various concepts learned throughout the course.
What will be covered - Setting up Project Environment and folders, Working with Git Repository, Requirements and Project Documents, Hands-on Python Project Coding, and Deploying the Application.
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According to the PYPL Index, the Programming Language Market, valued at US$ 170.92 billion in 2022, is poised to double by 2029, showcasing a robust CAGR of 10.5%. Python emerges as the leading programming language in TIOBE Index, solidifying its position as the most favored choice among developers.
Python developers command impressive salaries worldwide;
The average salary for python developer in USA is $1,25,116 per year.
The average salary for a Python Developer is £61,491 per year in London.
The average python developer salary in India is ₹5,59,499 per year. (Glassdoor)
DataMites Institute Python Developer Training Program is a career-oriented program designed to empower individuals to become proficient python developers. With a vigorously updated curriculum and a total of 400 learning hours packed into just 4 months, participants can attain certification as Python developers swiftly. Don't miss out on this opportunity - enroll in DataMites Python Developer Course today and kickstart your journey towards a rewarding career in Python development.
