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Python Certificate Course

Master the Basics to Advanced Python Programming
Python programming is a versatile, high-level language known for its simplicity and wide range of applications. Python is the most widely used programming language. Learning Python is vital due to its ease of use, extensive community support, and applicability in fields like web development, data science, artificial intelligence, and automation.
Gain hands-on experience with Python Programming through real-world programs and expert mentorship. Earn an industry-recognized certification to boost your career in software industry.
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Python Certificate Course in Vadodara

This comprehensive Python Certificate Course is designed to take you from the fundamentals of programming to advanced Python techniques. Whether you’re a beginner looking to learn the basics of coding or an experienced developer aiming to enhance your skills, this course offers a structured, hands-on approach to mastering Python. You will explore key topics such as data structures, object-oriented programming, web development, automation, data analysis, and more. Upon successful completion, you will earn a certificate that showcases your proficiency in Python programming, opening doors to diverse job opportunities and career growth.

Python Course Curriculum

Start your Python journey by understanding the fundamentals of programming with Python, a versatile and beginner-friendly language widely used in web development, data analysis, automation, and AI.
Topics Covered:
  • What is Python? Overview and Applications
  • Setting Up Your Development Environment (IDEs and Tools)
  • Writing Your First Python Program
  • Understanding Syntax, Indentation, and Basic Commands
  • Python’s Place in Modern Tech
Outcome: By the end of this module, you’ll have a solid foundation in Python and the confidence to write simple programs and navigate the coding environment.
  • Python-Pluses, Python-Minus
  • Working in python
  • Python-Pluses
  • Python-Minus
    • Working in default Python Distribution
    • Anaconda Distribution
  • Python commands using interactive mode
  • First program using script mode
  • Saving, Opening & Editing Python script files (.py)
  • Python Character Set
  • Token
    • Keywords
    • Identifiers (Name)
    • Literals Values / Constants
    • Operators Punctuators
  • Variables and Assignment
    • Creating a variable
    • Multiple Assignments
    • Variable Definition
    • Dynamic Typing
  • Simple Input and Output
    • Reading Numbers – input() & eval()
    • Output Through Print Statements
  • Data Types
  • Token
    • Numbers
    • String
    • Lists and Tuples
    • Dictionary Set
  • Mutable and Immutable Type
    • Variable Internals
  • Operators
    • Arithmetic Operators
    • Relational Operators
    • Logical Operator
    • Membership Operators
    • Identity Operators
    • Expressions
  • Expressions
    • Evolution Expression
    • Type Casting
  • Types of Statements in Python
  • Statements Flow Control
  • Program Logic-Development Tools
    • Algorithms
    • Flowcharts
  • The if statements of Python
    • The is statements
    • The if-else statements
    • The if-elif statements
    • The nested if statements
  • Repetition of Tasks – a Necessity
  • The range () Function
  • Iteration / Looping Statements
    • The for Loops
    • The while Loops
    • Loop else Statements
    • Jump Statements: pass, assert, break and continue
    • Nested Loop
  • Introduction
  • Traversing a String
  • String Operators
    • Basic Operators
    • Membership Operators
    • Comparison Operator
  • String Slice
  • String Functions and Method
    • Len(), capitalize(), find()
    • Isalnum(), isalpha(), isdigit(), islower(), isupper(), isspace()
    • Lower(), upper(), Istrip(), rstrip(), replace(), split(), join(),str(),swapcase()
    • Special string operators (+, *, in, not in, comparison)
  • Introduction
  • Creating and Accessing List
    • Creating List
    • Accessing List
  • List Operators
    • Joining List
    • Repeating or Replicating List
    • Slicing the Lists
    • Comparing List
  • Working with Lists
  • Lists Function and Method
    • len()
    • count()
    • append()
    • extend()
    • insert()
    • pop()
    • remove()
    • del statement
    • reverse()
    • sort()
    • clear()
    • max() & min()
  • What is Tuple?
  • Creating and Accessing Tuples
    • Creating Tuples
    • Accessing Tuples
  • Tuple Operation
    • Joining Tuples
    • Slicing the Tuples
    • Addition
    • Multiplication
    • Deleting Tuple
  • Packing & Unpacking Tuples
  • Tuple Function and Method
    • cmp()
    • count()
    • len()
    • max() & min()
    • sorted()
    • tuple()
    • index()
    • sum()
  • Introduction
  • Dictionary-key: Value Pairs
    • Creating a new dictionary
    • Accessing element of dictionary
    • Characteristics of dictionary
  • Working with Dictionaries
    • Multiple ways of creating dictionary
    • Adding elements to dictionary
    • Updating Existing elements in a dictionary
    • Deleting elements from the dictionary
    • Pretty printing a dictionary
    • Counting Frequency of elements in a list using dictionary
    • Dictionary Functions and Methods
    • dict()
    • cmp()
    • len()
    • clear()
    • get()
    • pop()
    • popitem()
    • keys()
    • values()
    • items()
  • time()
  • local time()
  • clock()
  • sleep()
  • now()
  • today()
  • date()
  • dir()
  • asleep()
  • first weekday()
  • eval()
  • max()
  • min()
  • pow()
  • round()
  • Int()
  • abs()
  • ceil()
  • floor()
  • fabs()
  • sqrt()
  • exp()
  • divmod()
  • random()
  • randint()
  • uniform()
  • randrange()
  • Defining Functions
  • Calling Functions
  • Function with Params
  • Return statement
  • Function with default Params
  • Recursive functions
  • Opening & Closing Files
  • Various File modes
  • Close() method
  • Reading & Writing Files
  • File positions
  • Renaming & Deleting files
  • Directory related commands
  • Introduction
  • What is Debugging?
  • Errors and Exception
    • Errors in the program
    • 14.3.2. Exception
  • How to Debug a Program?
    • Debugging Techniques
  • What is Exception?
  • Exception types
  • Exception handling code
  • Try-finally cause
  • Raising an exception
  • Introduction to OOPS Programming, Advantages & Disadvantages
  • What is class & objects
  • Implementing classes
  • Creating Objects
  • Sample codes for Classes and objects
  • Main Module
  • Multiple Modules
  • Import Modules
  • Variations of Import
  • Introduction to MySQL Database
  • Creating Database
  • Creating Tables
  • Applying Constraints (PK, FK, NULL, UNIQUE etc.)
  • Connecting Python with MySQL
  • CRUD operations (Create, Read, Update, Delete)
  • Demo Application with CRUD
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Why Choose Python Certificate Course at KS Technologies?

Choose our Python Certificate Course for hands-on training, expert mentorship, and industry-recognized certification. Master Python for programming, data analysis, and automation with real-world projects and career support.
  • 100% Practical based training approach
  • More than 17 years of industry expertise
  • Study material with Books & pdfs
  • Flexible batch timings in weekdays & weekends
  • Training available in Offline as well Online modes
  • Free Demo sessions are available
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What are the Career opportunities with Python Certificate Course?

Python developers are in high demand due to Python’s widespread use in fields such as data science, web development, machine learning, automation, and more. With the growing trend toward data-driven decision-making and automation, Python developers are expected to have excellent job prospects, competitive salaries, and diverse career paths.
Software Developer
Full stack developer
Data Scientist
Data Analyst
Automation Engineer
Game Developer

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