Zero to Hero in Python 3

About Course

Learn Python Programming the Easy Way, Complete with Examples, Quizzes, Exercises, and more. Learn Python 2 and Python 3.

Course Content

Learn the Basics (24 hr)
Master the fundamentals of Python programming with lectures covering variables, lists, operators, string operations, conditions, loops, functions, classes, dictionaries, modules, and packages for a solid foundation in Python development.

Variables and Types (2 hr)
Lists (2 hr)
Basic Operators (2 hr)
String Formatting (2 hr)
Basic String Operations (2 hr)
Conditions (2 hr)
Loops (2 hr)
Functions (2 hr)
Classes and Objects (2 hr)
Dictionaries (2 hr)
Modules and Packages (2 hr)

Data Science Tutorials (4 hr)
Delve into data science essentials with tutorials on Numpy arrays and Pandas basics, equipping you with the necessary skills to manipulate and analyze data effectively for data science projects.

Advanced Tutorials (24 hr)
Advance your Python proficiency with in-depth tutorials covering generators, list comprehensions, lambda functions, multiple function arguments, regular expressions, exception handling, sets, serialization, partial functions, code introspection, closures, and map, filter, reduce functions, enabling you to write more efficient and powerful Python code.

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About Course

What Will You Learn?

Course Content

Learn the Basics (24 hr)
Master the fundamentals of Python programming with lectures covering variables, lists, operators, string operations, conditions, loops, functions, classes, dictionaries, modules, and packages for a solid foundation in Python development.

Variables and Types (2 hr)

Lists (2 hr)

Basic Operators (2 hr)

String Formatting (2 hr)

Basic String Operations (2 hr)

Conditions (2 hr)

Loops (2 hr)

Functions (2 hr)

Classes and Objects (2 hr)

Dictionaries (2 hr)

Modules and Packages (2 hr)

Data Science Tutorials (4 hr)
Delve into data science essentials with tutorials on Numpy arrays and Pandas basics, equipping you with the necessary skills to manipulate and analyze data effectively for data science projects.

Numpy Arrays (2 hr)

Pandas Basics (2 hr)

Generators (2 hr)

List Comprehensions (2 hr)

Lambda functions (2 hr)

Multiple Function Arguments (2 hr)

Regular Expressions (2 hr)

Exception Handling (2 hr)

Sets (2 hr)

Serialization (2 hr)

Partial functions (2 hr)

Code Introspection (2 hr)

Closures (2 hr)

Map, Filter, Reduce (2 hr)

Enroll Now

Take the next step in your journey.

About Course

What Will You Learn?

Course Content

Learn the Basics (24 hr) Master the fundamentals of Python programming with lectures covering variables, lists, operators, string operations, conditions, loops, functions, classes, dictionaries, modules, and packages for a solid foundation in Python development.

Variables and Types (2 hr)

Lists (2 hr)

Basic Operators (2 hr)

String Formatting (2 hr)

Basic String Operations (2 hr)

Conditions (2 hr)

Loops (2 hr)

Functions (2 hr)

Classes and Objects (2 hr)

Dictionaries (2 hr)

Modules and Packages (2 hr)

Data Science Tutorials (4 hr) Delve into data science essentials with tutorials on Numpy arrays and Pandas basics, equipping you with the necessary skills to manipulate and analyze data effectively for data science projects.

Numpy Arrays (2 hr)

Pandas Basics (2 hr)

Generators (2 hr)

List Comprehensions (2 hr)

Lambda functions (2 hr)

Multiple Function Arguments (2 hr)

Regular Expressions (2 hr)

Exception Handling (2 hr)

Sets (2 hr)

Serialization (2 hr)

Partial functions (2 hr)

Code Introspection (2 hr)

Closures (2 hr)

Map, Filter, Reduce (2 hr)

Student Ratings & Reviews

Enroll Now

Take the next step in your journey.

Learn the Basics (24 hr)
Master the fundamentals of Python programming with lectures covering variables, lists, operators, string operations, conditions, loops, functions, classes, dictionaries, modules, and packages for a solid foundation in Python development.

Data Science Tutorials (4 hr)
Delve into data science essentials with tutorials on Numpy arrays and Pandas basics, equipping you with the necessary skills to manipulate and analyze data effectively for data science projects.