Python Course

Python is a popular programming language known for its simplicity and readability. It is widely used in various fields, such as web development, data analysis, artificial intelligence, and automation.

Python's simplicity, versatility, and strong community support have made it one of the most widely used programming languages. Its ease of use and extensive libraries make it an excellent choice for beginners and experienced developers alike.

Course Objectives

• Master Python fundamentals, including Python 3.7
• Gain expertise in data visualization and web scraping.
• Perform sentiment analysis using Python.
• Create diverse charts and graphs.
• Handle exceptions and errors in Python.
• Learn data manipulation with NumPy and Pandas.
• Understand machine learning tools and techniques.
• Explore regular expressions for data validation.
• Leverage Python modules for efficient coding.
• Develop practical data analysis and programming skills.

Student Journey Throughout The Course

Once you enroll in our Python training, your journey involves several key steps. You will be trained by our tutor with a minimum of 8+ years of Python/relevant IT experience. The Python course covers the fundamentals of programming, including variables, data types, control structures, functions, and object-oriented programming concepts.

You can gain knowledge of advanced analytics and data visualization concepts by developing algorithms and building real-life applications. Get expertise in file handling. You will be engaged in hands-on coding exercises and assessments to apply your knowledge and reinforce your understanding of Python programming concepts.

Course content

Unit 1: Python as Calculator

• Numbers
• Arithmetic operations
• Variable assignment

Unit 2: Data Structure Basics

• Strings: Creation, indexing, attributes, methods, print formatting
• List: creation, importing, indexing, processing, types of arrays, ways of creation, operations, attributes, indexing, slicing
• Dictionary: operations, dictionary methods, sorting elements, conversions, ordered dictionary
• Tuples: Creation, immutable type, indexing, processing, attributes
• Sets: Creation, methods (union, intersection)
• Boolean
• Files: input, output, and file modes

Unit 3: Python Comparison Operators

• Comparison Operators: greater than (>), less than (<), equals (==), not equal (!=)
• Logical operators: and, or, not
• Bitwise operators: &, |, ~

Unit 4: Python Statements

• If, elif, else
• For loop
• While loop
• Useful operators: range, zip, enumerate, in, not in, min, max, random
• List comprehension

Unit 5: Methods and Functions

• Methods
• Functions i. Map, filter, and reduce ii. Nested statements and scope iii. Args and kwargs

Unit 6: Object-Oriented Programming

• Class
• Inheritance
• Polymorphism
• Special Methods: len, str, repr, add

Unit 7: Modules and Packages

• Subpackage

Unit 8: Errors and Exception Handling

• Try, catch, and finally
• Types of exceptions: index division by zero, IO, etc.

Unit 9: Built-in Functions

• Map
• Reduce
• Filter
• Zip
• Enumerate
• All and Any
• Complex

Unit 10: Decorators

• Creation
• Use of decorators

Unit 11: Generators