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Python

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Find out more about Python

 A Python course provides comprehensive training in one of the most versatile and popular programming languages. It covers core concepts like variables, data types, control structures, functions, and object-oriented programming (OOP). Learners also explore advanced topics such as file handling, modules, exception handling, libraries for data analysis (like Pandas and NumPy), web development (Flask/Django), and automation. The course emphasizes hands-on projects, enabling students to build real-world applications, develop problem-solving skills, and prepare for careers in software development, data science, AI, and automation. 

Duration
35 Hrs.
Fees
$399.00
Goal
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Certifyera Review
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Certifyera Review
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About Python

  • Learn Python programming fundamentals for software development and data analysis.

  • Understand variables, data types, operators, loops, and control statements.

  • Master object-oriented programming concepts like classes, objects, and inheritance.

  • Handle exceptions and errors efficiently using Python’s robust exception system.

  • Work with lists, dictionaries, sets, tuples, and advanced data structures.

  • Perform file handling and manage data input/output operations effectively.

  • Explore Python libraries like NumPy, Pandas, and Matplotlib for analysis.

  • Develop web applications using frameworks like Flask and Django easily.

  • Automate tasks and scripts for increased productivity and efficiency.

  • Gain practical experience through projects for real-world Python implementation.

Course Contents

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What is Python? Overview and history

Setting Up the Environment: Installation of Python and IDEs

First Program: Writing and running a simple script

Understanding Python Syntax: Indentation, comments, and basic structure

Primitive Data Types: Integers, floats, booleans, strings

Data Structures: Lists, tuples, sets, dictionaries

Type Conversion: Casting between data types

Variables and Constants: Naming conventions and scope

Conditional Statements: if, elif, else

Loops: for and while loops

Comprehensions: List, dictionary, and set comprehensions

Error Handling: try, except, finally blocks

Defining Functions: Parameters, return values

Lambda Functions: Anonymous functions

Modules and Packages: Importing standard and third-party modules

Scope and Lifetime: Local and global variables

Classes and Objects: Defining and instantiating classes

Attributes and Methods: Instance and class variables

Inheritance and Polymorphism: Extending classes and method overriding

Encapsulation: Private and protected members

Reading and Writing Files: Text and binary files

Working with CSV, JSON, and XML: Parsing and generating data

Context Managers: Using with statements for resource management

Decorators: Enhancing functions and methods

Generators and Iterators: Creating and using iterables

Regular Expressions: Pattern matching with re module

Multithreading and Multiprocessing: Concurrency and parallelism

Web Scraping: Using libraries like BeautifulSoup and requests

Database Interaction: Connecting to SQL and NoSQL databases

Web Development: Introduction to Flask or Django

Automation: Scripting repetitive tasks

Unit Testing: Using unittest and pytest

Debugging Techniques: Using pdb and logging

Code Quality: Linting and formatting with flake8 and black

Project Planning: Defining objectives and requirements

Development: Implementing features and functionalities

Testing and Debugging: Ensuring code reliability

Presentation: Showcasing the project and reflecting on learning

Eligibility of the course

  • Basic understanding of computers and operating systems.
  • No prior programming experience required for beginners.
  • For advanced modules, knowledge of Python basics and OOP concepts is needed.
  • Familiarity with databases, web development, or data analysis is advantageous.
  • Suitable for students, graduates, and professionals seeking programming skills.

Key takeaways

  • Comprehensive Study material
  • Access to Practice tests
  • Access to LMS course content
  • Access to course assignments
  • Industry-relevant case-studies




Course features

Structured Curriculum with Clear Learning Objectives

Engaging and Interactive Content Delivery

Hands-On Practice and Real-World Applications

Regular Assessments and Feedback

Access to a Supportive Learning Community

Flexible Learning Pace and Accessibility

Expert Instruction and Industry-Relevant Content

Certification and Career Support

Course Benefits

 Python's clean and readable syntax makes it an excellent choice for newcomers to programming. Its straightforward structure allows learners to focus on problem-solving without getting bogged down by complex syntax rules. This simplicity accelerates the learning process and reduces the learning curve. 

Python is a general-purpose language used across various domains, including:

  • Web Development (e.g., using frameworks like Django and Flask)
  • Data Science and Machine Learning (with libraries such as NumPy, Pandas, scikit-learn, and TensorFlow)
  • Automation and Scripting
  • Game Development
  • Scientific Computing
  • Artificial Intelligence and Robotics

 Python boasts a large and active community of developers who contribute to its growth and provide support through forums, tutorials, and open-source projects. This community-driven approach ensures that Python remains up-to-date with the latest technological advancements and best practices. 

 Python's rich ecosystem includes a vast array of libraries and frameworks that simplify complex tasks. For example, libraries like NumPy and Pandas facilitate data manipulation, while frameworks like Django and Flask streamline web development. These tools enable developers to build robust applications efficiently. 

 Proficiency in Python opens doors to various career paths, including roles in data science, machine learning, web development, and automation. The demand for Python developers continues to grow, making it a valuable asset in the job market 

 Python excels at integrating with other technologies and languages, allowing developers to leverage existing codebases or optimize performance-critical components of an application. Its interoperability ensures that Python can be seamlessly incorporated into diverse tech stacks. 

 Python's simplicity and extensive library support make it ideal for rapid development and prototyping. Developers can quickly build and test ideas, allowing for iterative improvements and faster time-to-market. This agility is particularly valuable in industries like technology and startups, where innovation and speed are crucial. 

FAQs

Asked Questions & Answer

 The course typically lasts 2–4 months depending on the level. 

 No, beginners can start without any prior coding experience. 

 Variables, data types, loops, functions, OOP, file handling, libraries. 

 Yes, frameworks like Flask and Django are covered in advanced modules 

 Yes, libraries like NumPy, Pandas, and Matplotlib are included. 

 Yes, real-time projects help strengthen hands-on Python skills. 

 Yes, a recognized certificate is awarded upon successful completion. 

 Roles include Python Developer, Data Analyst, AI/ML Engineer, Automation Engineer. 

 Yes, Python automation scripts and practical examples are included. 

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