Python Programming

The Python Programming course is designed to immerse participants in the versatile world of Python. It covers foundational aspects such as data handling, control flows, functions, and object-oriented principles. Beyond the basics, the course delves into practical skills including error management, file operations, and advanced library use, with tools like NumPy and Pandas. Participants will also gain experience in web scraping, interacting with APIs, and managing databases. By engaging in real-world projects and practical exercises, learners will develop the ability to create robust, scalable applications and apply Python effectively in various professional settings.

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  • 15 Hours Training
  • Online / Classroom / Onsite
  • 17 Aug, 2024 / 24 Aug, 2024
  • Additional Program Dates
  • 100K+ Happy Students

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What is Python Programming All About?

The Python Programming course is designed to provide participants with a comprehensive understanding of Python, covering essential topics like data types, control structures, functions, and object-oriented programming. Participants will also explore advanced concepts such as error handling, file management, web development, and working with libraries like NumPy and Pandas. Through hands-on exercises and real-world projects, learners will master coding techniques and best practices. By the end of the course, participants will be equipped to build efficient, scalable, and complex Python applications.

Why is Python Programming Important?

Python programming is important because it is versatile, easy to learn, and widely used across various industries. Python's simplicity and readability make it an excellent choice for beginners, while its powerful libraries and frameworks support complex applications in data analysis, web development, automation, and more. By learning Python, professionals can automate tasks, analyze data, develop web applications, and efficiently solve problems. Its widespread adoption ensures that Python skills are in high demand, making it a valuable asset for career growth and development.

Why Do Companies Hire Professionals With Python Programming?

Companies hire professionals with Python programming skills because Python is a versatile and powerful tool that supports automation, data analysis, web development, and more. Its simplicity and readability make it accessible to both beginners and experts, allowing teams to quickly adapt and innovate. Python's widespread use across industries ensures that professionals with these skills can help companies stay competitive, streamline processes, and drive technological advancements. By hiring Python experts, companies gain the ability to efficiently solve complex problems and maintain a leading edge in their markets.

Industry Trends

With a booming technology sector and a strong economy, there is increasing demand for professionals skilled in Python. Companies are actively seeking developers to create and maintain innovative software solutions, driving growth in the job market.

Market trends

Python's adaptability fuels ongoing demand, enabling developers to explore fields such as AI, data science, and IoT. Specializing in areas like data visualization or IoT helps developers meet market needs and advance their careers.

Salary Trends

As technology and digital transformation grow, the earning potential for Python professionals remains strong. Various sources indicate that Python developers can command competitive salaries, reflecting the high demand for their skills in the industry.

Demand & Opportunities

With a booming tech sector, the demand for Python-skilled professionals is surging across various industries. From finance to healthcare, companies seek developers to create cutting-edge software solutions, offering numerous opportunities for those with Python expertise.

Here are some of the most sought-after jobs available for professionals with Python skills:

  1. Python Developer
  2. Data Scientist
  3. Machine Learning Engineer
  4. Software Engineer
  5. Data Analyst
  6. DevOps Engineer

Course Outcome

Successful completion of the training for Python Programming will help you in the following ways:

  • Master core programming concepts, including syntax, data types, variables, and control structures
  • Develop skills in defining functions, using modules, and handling errors
  • Learn object-oriented programming principles, including classes, inheritance, and encapsulation
  • Gain expertise in file handling, comprehension, and using decorators
  • Utilize libraries for data manipulation, visualization, and numerical operations
  • Explore web development with HTML, CSS, Flask, and create deployable web applications
  • Understand APIs, web scraping, and database connectivity for data management
  • Apply testing and debugging techniques to ensure code quality and functionality

Course Module

  • Overview of Python and its Applications 
  • Setting up the Python environment (IDEs, Jupyter Notebooks, Anaconda) 
  • Conditional statements (if, Elif, else) 
  • Loops (for, a while) 
  • Loop control statements (break, continue, pass) 
  • Introduction to exceptions 
  • Using try, except, else, and finally blocks 
  • Raising exceptions 
  • Creating custom exceptions
  • Reading from and writing to files 
  • Working with different file types (text, CSV, JSON) 
  • File handling best practices 
  • Using with statement for resource management
  • Understanding decorators and their use cases 
  • Creating custom decorators 
  • Using built-in decorators (@staticmethod, @classmethod, @property) 
  • Introduction to context managers and with a statement 
  • Handling and manipulating data using pandas 
  • Data visualisation using matplotlib and Seaborn 
  • Basic data analysis techniques 
  • Introduction to NumPy for numerical operations
  • Connecting to databases using sqlite3 and SQLAlchemy 
  • Performing CRUD operations 
  • Introduction to ORMs (Object-Relational Mapping) 
  • Building a small project integrating course concepts 
  • Code review and optimisation techniques 
  • Best practices in Python development 
  • Q&A and wrap-up session
  • Numbers, Strings, Booleans 
  • Lists, Tuples, Sets, Dictionaries 
  • Type conversion and casting 
  • Working with variables and constants 
  • Defining and calling functions 
  • Function arguments and return values 
  • Lambda functions 
  • Introduction to modules and packages 
  • Importing and using modules 
  • Introduction to OOP concepts 
  • Creating classes and objects 
  • Inheritance, polymorphism, encapsulation, and abstraction 
  • Magic methods and operator overloading 
  • Working with class methods and static methods 
  • List comprehensions, dictionary comprehensions, and set comprehensions 
  • Introduction to generators and yield statement 
  • Generator expressions 
  • Introduction to commonly used libraries (e.g., numpy, pandas, requests) 
  • Installing and managing packages with pip 
  • Overview of virtual environments 
  • Introduction to APIs and RESTful Services 
  • Making HTTP requests with requests 
  • Parsing JSON data 
  • Basics of web scraping with BeautifulSoup and Scrapy
  • Writing and running unit tests with unittest and pytest 
  • Debugging techniques and tools (e.g., pdb, logging) 
  • Test-driven development (TDD) principles 

Program Dates

17 Aug
  • 12:00 PM
  • Sat
  • Classroom
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24 Aug
  • 02:00 PM
  • Sat
  • Classroom
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Expert Instructors & Teaching Methods

 

 

We, at Learners Point, take immense pride in our teaching methods and instructors. Our instructors are some of the best experts in their fields and employ a practical approach to learning. Many of them are globally recognised and have a diverse set of experience in their field of expertise. You are always sure to have the best in the industry as your teachers who are ready to guide you at every step and make the experience informative yet enjoyable.  Apart from the focus on learning your chosen course, our instructors also encourage students to develop communication skills and interpersonal skills necessary to excel in the practical world.

Our cutting edge teaching methods make every program an immersive and productive experience for the learners. Our learning methods are research-driven and are continuously updated to stay relevant to present times as well as the future. You will enjoy practical applications of everything learned through theory and regular mock examinations to help monitor your progress. Our courses are led by an instructor in a classroom setup and we do offer online high-quality sessions as well for individuals. We also monitor the training sessions with a progress tracker to maintain high standards of instruction & ethics.

Our Trainers

Why Count on Learners Point?

Our primary objective at Learners Point Academy is to offer the best Python Programming course, ensuring professionals acquire the necessary skills for a thriving career.

Our course is exceptional due to the following reasons:

  • Practical, relevant, and up-to-date course content based on real-world scenarios
  • Prioritization of practical case studies to provide both theoretical knowledge and hands-on experience, preparing students for challenging roles
  • Customized curriculum with assignments that simulate actual work environments, providing additional practical experience
  • Comprehensive and effective learning experience through both group sessions and guided learning experiences
  • Discreet career guidance services available to help students transition successfully into their new profession as professionals

Learners Experience

"I enrolled in the Python Programming Course to prepare for a career transition into data science. The course was challenging but rewarding, and I learned how to write efficient, effective code. The course materials were practical and relevant, and I now feel ready to take on more advanced data science projects."

Silvestre Williams

DevOps Engineer

"This Python course was instrumental in advancing my machine learning skills. The modules on data handling and algorithm implementation were particularly valuable for my projects."

Hamidi Zehn

Web Developer

"The Python Programming course offered an excellent foundation for web development. I now feel confident building and deploying web applications using Python, thanks to the comprehensive training provided."

Celia Shephard

Machine Learning Engineer

"This course equipped me with essential Python skills for developing robust software solutions. The hands-on projects and expert instruction significantly enhanced my coding proficiency."

Ashrafaul Maurin

Data Analyst

"The Python Programming course was transformative for my career. It provided me with practical skills and deepened my understanding of data manipulation and analysis. Highly recommended for anyone looking to excel in data science."

Nora Fahidi

Python Developer

Our Graduates

Our graduates are from big companies, small, companies, they are founders, career changers and life long learners. Join us and meet your tribe!

FAQs on Python Programming

No prior programming experience is required. The course is designed for beginners and covers basic to advanced concepts in a structured manner.

Participants will receive a certification upon successful completion of the Python Programming course, demonstrating their proficiency in Python programming.

We follow a clear and transparent refund policy at Learners Point Academy. If a participant wishes to withdraw from the course for any reason, they can do so within two days of registration and receive a full refund. We require written notification of the withdrawal, and the refund will be processed within four weeks of the withdrawal date.

The skills learned can be applied to various domains including software development, data analysis, web development, and automation.

We offer flexible training programs at Learners Point Academy through classroom-based group coaching led by expert instructors, personalized one-on-one training sessions, and high-quality live and interactive online sessions that can be accessed from anywhere, anytime.

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