1st lesson free
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Robert Steven
- Rate $50
- Response 1h
$50/h
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1st lesson free
- Computer languages
Iam an excellent Computer Programming Coach. I can teach you Python, Java or C++. I charge$50 per hour.
- Computer languages
Lesson location
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At Robert Steven's house: Albany
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About Robert Steven
IAre you looking to master Python, Java, C++, or dive into advanced topics like Artificial Intelligence (AI), Data Analytics, Machine Learning, Blockchain, Internet of Things (IoT), or Drone Science? Look no further!
Our highly experienced Professor of Computer Science and Software Engineering offers comprehensive, hands-on courses in:
Python, Java, and C++
Artificial Intelligence (AI)
Data Analytics & Machine Learning
Blockchain Technology
IoT (Internet of Things)
Drone Science
With over a decade of experience, this expert professor provides personalized training at just $50 per hour, with each course typically running for 50 hours. Whether you're a beginner or looking to advance your skills, you'll receive top-notch instruction and guidance tailored to your needs.
Unlock your potential today! Contact us to schedule your course.
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About the lesson
- All Levels
- English
All languages in which the lesson is available :
English
Python Programming Syllabus
This Python Programming Syllabus is designed for beginners and intermediate students who want to build strong programming skills in Python. The course is structured to gradually introduce fundamental concepts, advance to intermediate topics, and culminate with hands-on projects and real-world applications.
Course Duration: 50 hours
Prerequisites: No prior programming experience required
Target Audience: Beginners, college students, professionals seeking to learn Python for automation, data science, or application development.
Module 1: Introduction to Python (5 hours)
What is Python?
Introduction to Python and its uses
Installing Python and setting up the environment (IDLE, VS Code, Jupyter)
Python Basics
Syntax, comments, and code structure
Variables and data types (int, float, str, bool)
Input/Output functions: print() and input()
Arithmetic operations
First Python Program
Writing, running, and understanding a simple Python program
Debugging simple errors
Assignment: Write a simple calculator program that performs basic arithmetic operations (addition, subtraction, multiplication, division).
Module 2: Control Structures and Logic (8 hours)
Conditional Statements
if, else, elif statements
Logical and comparison operators
Nested conditionals
Loops
while loops
for loops and iterators
Using loops with ranges and sequences
Break and Continue Statements
Controlling the flow within loops
Functions
Defining and calling functions
Function parameters and return values
Local vs. global variables
Recursive functions
Assignment: Write a program that asks a user to input a number and prints all prime numbers up to that number.
Test: Create a number guessing game using if statements and loops.
Module 3: Data Structures (10 hours)
Lists
Creating, accessing, and modifying lists
List methods: append(), pop(), remove(), slicing
Iterating over lists
Tuples
Creating and using tuples
Difference between lists and tuples
Dictionaries
Key-value pairs, creating, and accessing dictionaries
Dictionary methods: keys(), values(), items()
Sets
Creating and using sets
Set operations: union, intersection, difference
Comprehensions
List, set, and dictionary comprehensions for concise data structure creation
Assignment: Create a program that counts the frequency of words in a text and displays the top 5 most common words.
Module 4: File Handling (5 hours)
Reading and Writing Files
Opening files in different modes (r, w, a, r+)
Reading from files (read(), readline(), readlines())
Writing to files (write(), writelines())
File Processing
Working with CSV files
Handling file exceptions with try-except
Assignment: Write a program to read a CSV file and calculate the average value of a column.
Module 5: Object-Oriented Programming (10 hours)
Introduction to OOP
Classes and objects
Creating classes and instances
Methods and attributes
Inheritance
Parent and child classes
Method overriding
Using super() to access parent methods
Encapsulation and Abstraction
Private and protected attributes
Getter and setter methods
Polymorphism
Method overloading and overriding
Operator overloading
Special Methods
__init__, __str__, __repr__, and other dunder methods
Assignment: Create a class for managing a library with methods to add, remove, and lend books.
Test: Build a mini-banking application using OOP principles where users can create accounts, deposit, and withdraw money.
Module 6: Error Handling and Debugging (3 hours)
Types of Errors
Syntax, runtime, and logical errors
Exception Handling
Using try, except, else, and finally
Raising exceptions with raise
Debugging Tools
Using the Python debugger (pdb)
Debugging techniques and strategies
Assignment: Write a program that reads user input and handles different errors (e.g., invalid input, file not found).
Module 7: Advanced Topics (7 hours)
Working with Libraries and Modules
Importing modules (math, random, etc.)
Installing and using third-party libraries (pip, numpy, matplotlib)
Regular Expressions
Introduction to regex
Pattern matching with re module
Searching, splitting, and replacing text using regex
Lambda Functions
Anonymous functions
Using map(), filter(), and reduce() with lambdas
Introduction to Data Science with Python
Using pandas for data manipulation
Basic data analysis and visualization with matplotlib
Introduction to Web Scraping
Using requests and BeautifulSoup to scrape web data
Assignment: Write a program that scrapes weather data from a website and displays it in a readable format.
Module 8: Capstone Project (2 hours)
Project Guidelines
Students will build a final project that integrates all the concepts learned throughout the course.
Projects can range from a simple web scraper, data visualization tool, game, or small application like a task manager.
Final Presentation
Students will present their projects, explaining their design choices, challenges faced, and the code structure.
Capstone Project: Create a project of your choice using Python, involving data input/output, functions, and object-oriented principles.
Evaluation & Assessment
Quizzes: Regular quizzes after each module to assess understanding of key concepts.
Assignments: Practical assignments at the end of each module, building up to more complex tasks.
Mid-term test: A test covering Modules 1-4, with programming challenges and theoretical questions.
Capstone Project: A final project that showcases the student’s ability to use Python to solve real-world problems.
By the end of this course, students will be able to:
Write clean, efficient Python code.
Understand and implement advanced programming concepts.
Develop real-world applications using Python.
Work with data, files, and libraries.
Apply object-oriented programming techniques.
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Rates
Rate
- $50
Pack rates
- 5h: $250
- 10h: $500
free lessons
This first lesson offered with Robert Steven will allow you to get to know each other and clearly specify your needs for your next lessons.
- 1hr
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