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Overview
At Campus Buddy, we are committed to providing individuals with the knowledge and practical skills necessary to excel in programming and software development. With over a decade of experience, we offer industry-aligned training in high-demand areas like Core Python to prepare students for success in the ever-evolving technology landscape.
1. Introduction to Python
- Overview of Python
- History and evolution of Python
- Python’s design philosophy and features
- Python 2 vs Python 3
- Python environment setup
- Installing Python
- Using Python IDEs (e.g., PyCharm, VSCode, Jupyter Notebook)
- Python Package Index (PyPI) and pip
2. How Python Works
- Python interpreter and execution model
- Python execution process
- Parsing and compilation
- Bytecode and Python Virtual Machine (PVM)
- Role and function of PVM in Python
- Bytecode and its purpose
- Memory management and garbage collection
3. Executing Python Programs
- Running Python scripts from the command line
- Using Integrated Development Environments (IDEs)
- Executing code in Jupyter Notebooks
- Handling input/output files
4. Variables and Datatype
- Declaring and initializing variables
- Variable naming conventions
- Scope and lifetime of variables
- Basic data types
- Integers, floating-point numbers, strings, booleans
- Data type conversion
- Lists, tuples, sets, dictionaries
5. Operators
- Arithmetic operators
- Comparison operators
- Logical operators
- Assignment operators
- Bitwise operators
- Membership and identity operators
6. Strings
- Creating and Initializing Strings
- String Operations (+, *, indexing, slicing)
- String methods
- String formatting
- Escape sequence, Raw String
7. Type Conversion
- Implicit and explicit type conversion
- Converting between data types
- Functions for type conversion (
int()
,float()
,str()
)
8. Managing Input and Output
- Reading user input using
input()
- Outputting data using
print()
- Formatting output
- String formatting using
f-strings
,format()
, and%
operator
- String formatting using
9. Conditional Statements
if
,elif
,else
statements- Nested conditional statements
- Conditional expressions (ternary operator)
10. Loops
for
loops- Iterating over sequences (lists, tuples, strings)
while
loops- Loop control statements
break
,continue
,pass
- Nested loops
- Pattern printing
11. Array Module
- Introduction to the
array
module - Creating and manipulating arrays
- Array methods and operations
- Differences between lists and arrays
12. NumPy Array
- Introduction to NumPy library
- Creating NumPy arrays
- Array operations and manipulations
- Mathematical functions and statistical operations
- Indexing and slicing NumPy arrays
13. Functions
- Defining functions using
def
keyword - Function parameters and return values
- Variable scope and lifetime
- Recursion and its use cases
14. Lambda Functions
- Syntax and usage of lambda functions
- Comparing lambda functions with regular functions
- Use cases for lambda functions
15. Math Module
- Introduction to the
math
module - Mathematical functions and constants (e.g.,
sqrt()
,pi
) - Using
math
functions for complex calculations
16. Lists
- Creating and initializing lists
- List methods and operations
- List comprehensions
- Nested lists and list manipulation
17. Higher Order Functions
- Concept of higher-order functions
- Functions that accept other functions as arguments
- Functions that return other functions
- Use cases in functional programming
18. Generators
- Understanding generators and yield
- Creating generator functions
- Using generators to handle large datasets
- Differences between iterators and generators
19. Tuples
- Creating and initializing tuples
- Tuple operations and methods
- Immutable nature of tuples
- Use cases of tuples
20. Sets
- Introduction to sets
- Set operations (union, intersection, difference)
- Set methods and properties
- Use cases of sets
21. Dictionaries
- Creating and initializing dictionaries
- Dictionary methods and operations
- Key-value pair management
- Iterating through dictionaries
22. Comprehension
- List comprehensions
- Dictionary comprehensions
- Set comprehensions
- Nested comprehensions
23. Some Important Functions**
map()
,filter()
,reduce()
zip()
,enumerate()
- Common built-in functions (e.g.,
len()
,range()
,type()
)
What Will You Learn in Our Core Python Course?
Our Core Python course serves as a foundational certification that introduces the essentials of programming. It encompasses key topics such as data types, control structures, functions, and object-oriented programming. Completing this course enhances your comprehension of the technology that underpins numerous applications and systems today.
Why is Learning Python Important Today?
In today’s digital era, programming skills are indispensable across various industries. With the surge in data-driven decision-making and automation, the demand for Python-proficient professionals has escalated. A Core Python certification is globally recognized and can significantly enhance your prospects of securing a position in the IT sector.
What Topics Are Covered in Our Core Python Course?
Our comprehensive curriculum covers essential areas such as:
- Introduction to Python: Overview of Python’s history, features, and environment setup.
- How Python Works: Understanding the interpreter, execution model, and memory management.
- Executing Python Programs: Running scripts, using IDEs, and handling input/output files.
- Variables and Data Types: Declaring variables, data type conversion, and working with data structures like lists, tuples, sets, and dictionaries.
- Operators: Utilizing arithmetic, comparison, logical, assignment, bitwise, membership, and identity operators.
- Strings: Creating, manipulating, and formatting strings.
- Type Conversion: Performing implicit and explicit type conversions.
- Managing Input and Output: Reading user input and formatting output.
- Conditional Statements: Implementing if, elif, and else statements.
- Loops: Employing for and while loops, including nested loops and loop control statements.
- Array Module: Introduction to the array module, creating and manipulating arrays.
- NumPy Array: Working with NumPy arrays for numerical computations.
- Functions: Defining functions, understanding scope, and recursion.
- Lambda Functions: Utilizing anonymous functions for concise code.
This curriculum ensures a thorough understanding of programming fundamentals.
What Skills Will You Gain from Our Core Python Course?
Through our Core Python course, you will develop skills in:
- Writing Efficient Code: Develop clean and efficient Python scripts.
- Problem-Solving: Apply logical thinking to tackle programming challenges.
- Data Manipulation: Handle and process data effectively using Python’s data structures.
- Automation: Automate repetitive tasks to enhance productivity.
These skills will empower you to develop and maintain software applications proficiently.
Career Prospects Post-Completion
Upon completing this course, you can pursue roles such as:
- Software Developer
- Data Analyst
- Automation Engineer
With experience, professionals can advance to roles like Senior Developer or Software Architect, with salaries ranging from $70,000 to over $110,000 annually, depending on expertise and specialization.
Why Choose Campus Buddy for Python Training?
At Campus Buddy, we offer:
- Practical Experience: Engage in hands-on projects that mirror real-world programming scenarios.
- Experienced Instructors: Learn from industry experts with extensive backgrounds.
- Flexible Learning Options: Select between online or in-person classes to suit your schedule.
- Comprehensive Career Support: Benefit from our robust network of industry connections and job placement services.
Our institute boasts a 95% job placement rate for Python graduates. We provide hands-on training with state-of-the-art tools, ensuring you gain practical experience. Our instructors have an average of 10 years of industry experience, offering insights that can propel your career forward.
Seamless Transition from Non-Tech to Tech
Many of our graduates have successfully transitioned from non-tech backgrounds to tech careers. In fact, 60% of our students come from non-technical fields. With our comprehensive support and training, you can confidently make this switch and embark on a rewarding programming career.
Embark on your programming journey with Campus Buddy’s Core Python Course and become an integral part of the technological backbone of various organizations.