Session Duration
3 hrs
Course Duration
3 months
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Program overview
The program aims to teach programming to absolute beginners using the Python3 programming language. No previous knowledge of programming or computer science is assumed. Prerequisite knowledge would be working knowledge of using computers and installing software.
- Python is the top programming language in the TIOBE and PYPL indexes. It overtook C in the TIOBE index in 2021.
- It’s used in everything from Data Science to Web Application development.
- The payscale for Python developers is $100k/annum, and the general rule of thumb for remote work is that we can easily land 60-70% of that salary while working remotely, after a few years of experience
Benefits of learning:
- Python is the top programming language in the TIOBE and PYPL indexes. It overtook C in the TIOBE index in 2021.
- It’s used in everything from Data Science to Web Application development.
- The payscale for Python developers is $100k/annum, and the general rule of thumb for remote work is that we can easily land 60-70% of that salary while working remotely, after a few years of experience.
Program overview
The program aims to teach programming to absolute beginners using the Python3 programming language. No previous knowledge of programming or computer science is assumed. Prerequisite knowledge would be working knowledge of using computers and installing software.
Learning outcomes
Students will be expected to know how to break down problems into solvable chunks, and write code to solve each. They will be also be taught how to interact with databases and API’s to give them experience with technologies they will mostly need to interact with when on job.
Learning outcomes
Students will be expected to know how to break down problems into solvable chunks, and write code to solve each. They will be also be taught how to interact with databases and API’s to give them experience with technologies they will mostly need to interact with when on job.
- Develop solutions using OOP concepts
- Develop and understand Python code being used from modules and packages
- Develop robust code with exception handling
- Develop code that can handle the input-output system
Become an Python Programming
Expert in just 8 weeks
Become an Python Programming
Expert in just 8 weeks
Course Curriculum
Here is what's included in this advanced python programming language Course
2. Arithmetic in Python
3. Simple problem-solving: How to think like a programmer
4. Data types
- Variables
- Getting familiar with error messages
- Multi-line statements
- Comments
- Readability in code
- In-built functions
- Memory addresses
- Defining our own functions
- Tracing a function call step-by-step
- Returning a value vs. not
- Practice with functions
- The Boolean Type
- Making choices
- Nested If statements
- Create a program to solve a real problem
- Importing modules
- Defining your own modules
- Testing code
- Tips
- Organizing thoughts
- Modules, Classes and Methods
- Calling methods
- Exploring string methods
- Storing collections of data using Lists
- Modifying Lists
- Operations on Lists
- Slicing and indices
- Aliasing
- List methods
- Lists of Lists
- Processing items in a list
- Processing characters in strings
- Looping over range of Numbers
- Processing lists using indices
- Nesting Loops in Loops
- Looping until a condition is reached
- Repetition based on user input
- Controlling loops using break and continue
- Kinds of files
- Opening and reading files
- Files over the internet
- Writing Files
- Sets
- Tuples
- Dictionaries
- Searching for values
- Timing functions
- Binary Search
- Sorting
- More efficient sorting Algorithms
- Merge sort
- Understanding a Problem Domain
- Function isinstance, Class object, class Book
- Writing a method
- Special methods
- OO theory
- Cases studies
- How to debug like a pro
- Hunting bugs
- Overview
- Creating and Populating
- Retrieving data
- Updating and Deleting
- Using Joins
- Advanced Features
- Keys and Constraints
- Figuring out API documentations
- Hitting endpoints
- Accessing responses
Course Curriculum
Here is what's included in this advanced python programming language Course
2. Arithmetic in Python
3. Simple problem-solving: How to think like a programmer
4. Data types
- Variables
- Getting familiar with error messages
- Multi-line statements
- Comments
- Readability in code
- In-built functions
- Memory addresses
- Defining our own functions
- Tracing a function call step-by-step
- Returning a value vs. not
- Practice with functions
- The Boolean Type
- Making choices
- Nested If statements
- Create a program to solve a real problem
- Importing modules
- Defining your own modules
- Testing code
- Tips
- Organizing thoughts
- Modules, Classes and Methods
- Calling methods
- Exploring string methods
- Storing collections of data using Lists
- Modifying Lists
- Operations on Lists
- Slicing and indices
- Aliasing
- List methods
- Lists of Lists
- Processing items in a list
- Processing characters in strings
- Looping over range of Numbers
- Processing lists using indices
- Nesting Loops in Loops
- Looping until a condition is reached
- Repetition based on user input
- Controlling loops using break and continue
- Kinds of files
- Opening and reading files
- Files over the internet
- Writing Files
- Sets
- Tuples
- Dictionaries
- Searching for values
- Timing functions
- Binary Search
- Sorting
- More efficient sorting Algorithms
- Merge sort
- Understanding a Problem Domain
- Function isinstance, Class object, class Book
- Writing a method
- Special methods
- OO theory
- Cases studies
- How to debug like a pro
- Hunting bugs
- Overview
- Creating and Populating
- Retrieving data
- Updating and Deleting
- Using Joins
- Advanced Features
- Keys and Constraints
- Figuring out API documentations
- Hitting endpoints
- Accessing responses
Course Curriculum
Here is what's included in this advanced python programming language Course
Working with Modules and packages
Exception handling
String manipulations(ASCII, UNICODE, UTF-8, codepoints, escape sequences), Converting string with methods, Iterating through strings, concatenation, multiplying, comparing, Working with various methods/function over strings.
OOP (class, object, property, method, encapsulation, inheritance, super and sub classes, Instance vs class variables, __dict__ property,
name mangling, method declaring, method with self, __name__, __module__, __bases__ properties, single, multiple inheritance, overriding, constructor (declaring and invoking).
Polymorphism, __name__, __module__, __str__() method, multiple interitance
List comprehension: if operator, using list comprehensions, lambdas: defining and using lambdas, self-defined func tions taking lambda as as arguments; map(), filter().
Python Iterators, Generators & Generators Expression
Final Project : Using Python Libraries & Database Handling (MySQL Operations and MongoDB)
Entry Requirements
There are no formal requirements for this certification, however it is recommended that you should start with our Python for Beginners course for better understanding.
Meet Our Trainers
Our experienced python programming language expert are here to help you understand the concepts of advanced programming language and to apply them practically for your successful career
Programming languages and tools
Benefits of the course
Learn the second-highest paid computer language (according to Indeed)
Enter the pathway to a career in data sciences
Bullet-proof your career and your job prospects with versatile career paths
