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Python Programming: The Art Programming In Python
Coderzon Technologies offers “Python Programming: The Art of Programming in Python,” designed to build a solid foundation in Python programming for beginners. Our course provides expert instruction on essential Python concepts and best practices, focusing on hands-on coding skills and practical applications. With a comprehensive curriculum that covers fundamental programming techniques and problem-solving strategies, you’ll gain the knowledge and confidence to start your programming journey. Benefit from personalized guidance and support from experienced instructors, and begin your path to becoming proficient in Python programming with confidence.
Admission Process
There are 3 simple steps in the Admission Process which is detailed below
01
Fill the Application Form
Apply to our Python Programming: The Art Programming In Python course by filling a simple online application form to kick-start the admission process.
02
Interview Process & Demo Session
Go through a screening call with Admissions office and Book your demo.
03
Join the Program
Block your seat for Python Programming: The Art Programming In Python with a payment of ₹ 1000 to begin learning with prep course.
What You Will Learn In Our Python Programming Course
1. Introduction to Programming
- Understanding Programming: The role of a programmer, programming paradigms.
- Overview of Programming Languages: Compilers, interpreters, and assemblers.
2. Introduction to Python
- Why Python?: Advantages and use cases.
- How Python Works: Python interpreter, interactive mode, and running Python files.
- Python Environment: Working with Python shell and IDEs.
3. Basic Programming Concepts
- Variables and Data Types: Static vs. dynamic typing.
- Operators and Expressions: Types and usage.
- Control Structures: Conditionals and loops.
4. Functions
- Defining and Calling Functions: Syntax and usage.
- Function Arguments: Required, keyword, default, and variable-length arguments.
- Scope of Variables: Global vs. local variables.
5. Data Structures & Algorithms
- Data Structures: Lists, tuples, sets, dictionaries, linked lists, and trees.
- Algorithms: Sorting and searching algorithms.
6. Object-Oriented Programming
- OOP Principles: Encapsulation, inheritance, abstraction, and polymorphism.
- Method Overloading vs. Overriding: Operator overloading.
7. Functional Programming
- Functional Programming Paradigm: First-class functions, inner functions, and higher-order functions.
- Lambda Functions: Using lambda for functional programming.
- Functional Programming Tools:
map(),filter(), andreduce().
8. Exception Handling
- Understanding Exceptions: Exception vs. error.
- Handling Exceptions: Creating and logging custom exceptions.
9. Regular Expressions
- Introduction to Regular Expressions: Pattern matching and the
remodule. - Creating Patterns: Commonly used regex patterns.
10. Python Modules and Packages
- Using Modules: Creating and importing modules.
- Packages: Understanding namespaces,
PYTHONPATH, and package management.
11. Multithreading and Concurrency
- Introduction to Threading: Creating and managing threads.
- Thread Synchronization: Locks, semaphores, and avoiding deadlocks.
12. Decorators
- Understanding Decorators: Why and how to use them.
- Advanced Decorators: Nesting, arguments, and state management.
13. Generators
- Introduction to Generators: Usage and benefits.
- Generator Techniques: Yield statements, pipelines, and infinite content generation.
14. Iterators
- Understanding Iterators: Protocols and usage.
- Creating Iterators: Async iterators and generator iterators.
15. Unit Testing
- Testing Basics: Creating and running unittests.
- Advanced Testing: Test suites, mocking, and setup/teardown.
16. Virtual Environment
- Understanding Virtual Environments: Purpose and creation.
- Package Management: Using
pipand managing dependencies.
17. Memory Management
- Python Memory Management: Techniques like garbage collection and reference counting.
- CPython Specifics: GIL, pros and cons of memory management.
18. System Design Principles
- SOLID Principles: Importance and application.
- Additional Principles: DRY (Don’t Repeat Yourself) and KISS (Keep It Simple, Stupid).
Why Choose Our Python Programming Course?
- Expert Instructors: Learn from experienced professionals who bring real-world knowledge and practical insights.
- Hands-On Projects: Work on real-time projects to apply what you’ve learned and build a robust portfolio.
- Comprehensive Curriculum: Cover all aspects of the Python Programming, to ensuring a complete understanding of the technology.
- Career Support: Receive 100% placement assistance to help you transition smoothly into the tech industry.
New Batch Opening For Python Programming Course
Next Batch
Cochin: Aug 12th 2024 (Offline & Online)Duration: 2 Months, 5 Days a Week, 2 Hours/day
Course Fees:
Fees (One time Payment mode) 9,999
Registration Fee: 1000
Certification: Course completion certificate from coderzon.
For New Admissions Click Enroll Button
Course Overview
Many people struggle with programming, even after studying computer science, often gravitating towards non-IT careers due to a lack of programming skills. This challenge often arises from a focus on the syntax of programming languages rather than understanding the core concepts and thought processes essential for successful programming. In reality, programming can be engaging and accessible once these fundamental concepts are grasped.
For beginners, choosing a programming language can be overwhelming. However, understanding programming paradigms is crucial. Mastering these paradigms in one language, such as Python, can make learning other languages significantly easier.
Programming knowledge is vital for various fields including web development, game development, software testing automation, data engineering, data science, and AI product development.
This course, “Python Programming: The Art of Programming in Python,” is designed specifically for those who find programming daunting but wish to build a strong foundation. It will help you understand the principles of Python programming and prepare you for a successful journey in software development.
Technologies Covered in the Python Programming: The Art Programming In Python
- Python: Core language for programming concepts and projects.
- Standard Library: Includes modules such as
math,datetime,os, andsys. - NumPy: For numerical operations and array manipulations.
- Pandas: For data manipulation and analysis.
- Matplotlib/Seaborn: For data visualization.
- unittest: For unit testing and test cases.
- SQLite: Lightweight database for simple data storage and management.
- SQLAlchemy (Optional): ORM for database operations (if included).
- Virtualenv: For managing project-specific Python environments.
- Pip: Package installer for Python.
- Git (Optional): Version control system for managing code changes.
- Regular Expressions (re module): For pattern matching and text processing.
- Threading and Concurrency Modules: For handling multiple threads and asynchronous operations.
- Decorators and Generators: Advanced Python features for functional programming and efficient iteration.
- Integrated Development Environments (IDEs): Such as PyCharm, VS Code, or Jupyter Notebooks for coding and debugging.
Why Memorizing Syntax in Python Programming Isn't Enough
Lack of Problem-Solving Skills: Relying solely on memorizing Python syntax without grasping the underlying concepts results in a shallow understanding of programming. This approach limits your ability to solve problems creatively and effectively. Problem-solving is central to Python programming; it involves knowing how to approach, break down, and resolve issues.
Difficulty in Learning New Languages: As programming languages evolve and new ones emerge, relying on memorized syntax can make transitioning to new languages challenging. A solid understanding of Python programming concepts enables you to adapt to new languages more easily, as the fundamental principles remain consistent across languages.
Poor Code Quality:Python code written with only a superficial understanding of syntax tends to be inefficient, difficult to maintain, and error-prone. Mastering Python programming involves writing clean, efficient, and readable code, which stems from a deep comprehension of concepts like data structures, algorithms, and design patterns.
The Importance of Grasping Core Programming Concepts
Programming paradigms are essential styles or approaches within computer science for solving problems. They provide frameworks for designing and writing Python programs. Different paradigms, such as procedural, functional, and object-oriented, offer various methods for structuring and managing code, each with its advantages and trade-offs.
Core concepts such as variables, control structures (loops, conditionals), data structures (lists, dictionaries, tuples), and algorithms (searching, sorting) form the foundation of Python programming. Mastering these basics allows you to understand the broader context and apply the appropriate tools to solve problems efficiently.
OOP principles, including encapsulation, inheritance, polymorphism, and abstraction, are crucial for managing complex systems in Python. These principles help organize code into manageable sections and promote code reuse. A solid grasp of OOP concepts is necessary to leverage Python’s full potential.
Understanding memory management, including stack vs. heap allocation, garbage collection, and memory leaks, is vital for writing efficient Python programs. This knowledge helps you optimize performance and avoid common pitfalls that can impact application efficiency.
Adhering to design principles such as SOLID, DRY (Don’t Repeat Yourself), and KISS (Keep It Simple, Stupid) is crucial for developing maintainable and scalable Python code. These principles guide you in structuring your codebase to be robust and adaptable to changes.
Memorizing Python syntax might help in exams or coding interviews, but a deep understanding of Python programming concepts will make you a proficient and versatile developer. Embrace the journey of learning and understanding Python programming, and you will be well-prepared to tackle any coding challenge.
Python Programming: The Art Programming In Python Summary
The “Python Programming: The Art of Programming in Python” course is designed to provide a thorough understanding of Python programming, from foundational concepts to advanced techniques. You will learn to write efficient Python code, develop practical applications, and apply best practices in programming. This course also includes hands-on projects and exercises, equipping you with the skills to tackle real-world coding challenges and excel in Python programming. By the end of the course, you will have the expertise to build robust Python applications and confidently pursue further opportunities in the tech industry.