
Explore Python from basics to advanced topics, including image and video processing, data analysis, machine learning, web design, automation with Selenium, and building graphical user interface and ML-powered apps.
Open the integrated development environments for Python using the Anaconda prompt, start with Spyder, learn to run code, switch to Jupyter Notebook as needed, and save your Python programs.
Learn to take user input from the command line with the input function, store values in variables from prompts, and print the results.
Learn to use Len to get the length of a list, check if the shopping cart is empty, and print a message when its length is zero.
Explore the tuple data type, its immutability, and indexing to access elements. See tuples in OpenCV for coordinates and colors, and note why they are less used than lists.
Learn to combine list and range iteration using Python's enumerate to print each car with its index, replacing manual indexing with a counter and item.
Learn how Python list comprehension replaces for loops to build lists from strings and ranges, including filtering spaces and specific letters, and selecting odd or even numbers.
Learn to translate image pixels with a simple Python function, shifting x and y coordinates to move a 4x4 image within a 16x16 screen using nested for loops.
Move from the main Python space to the function space and organize code with functions like shelves, improving readability for other programmers.
Learn to build a two-player ping pong game with Python Turtle. Create a blue 800x600 window, add paddles and a bouncing ball, and score when ball reaches the opponent side.
Implement two-player scoring for a simple ping-pong game: track and display each player's score, update on boundary hits, clear and redraw, then reset the ball and reverse its direction.
Explore dictionaries as a data structure that stores keys and values, offering a more organized alternative to lists for building small databases to store information.
Add keys and values to an empty dictionary at runtime, using update for replacements and append for list-valued entries, as demonstrated with names and ages.
Iterate over the dictionary keys with db.keys, delete the corresponding index for each key, then print and unpack the values with a nested for loop to access individual elements.
Learn how to use try, except, else, and finally in Python to create a folder and five files, handle existing folders, and print status messages.
This course is Everything you will ever need to Master every detail of Python.
Are you looking to master Python from Basics all the way to Any Software Idea that comes up to your mind?
Then this is the right course for you. Because you will not only learn the basics of the language, but you will learn about all the other python supported packages along tens of Hands-On-Projects!
Update
Pygame RPG Game Design From Scratch was added (With Object Oriented Pattern Design).
Update
Web Scraping using Beautiful Soup and Selenium was added . Including Advanced Debugging Techniques.
Update
Flutter For Python section was added (UI Web/Desktop Design).
Update
SQL And Relational Databases was added (DB Basics and SQLAlchemy ). With simplified Social media project.
Let this list of covered Topics give you an Idea:
1 Python Strings and RNG
2 Conditional Statements
3 Lists and Bundle Storage
4 Finite State Machines with Python
5 Loops
6 Functions
7 Dictionaries
8 Exceptions and Crash Handling
9 Python Built-In Functions
10 Python Object Oriented Programming
11 Decorators
12 Handling text Files
13 Handling Compressed Files
14 Data Plotting with Matplotlib
15 Directory Management.
16 Command Line Based Applications
17 Numpy and Math
18 Image Processing With OpenCV
19 Video Processing
20 Object Tracking
21 Pandas And Tabular Data
22 Python GUI Based Apps
23 Converting Python to Stand-Alone Software
24 Recommender Systems with Netflix
25 OCR and Image to Text Conversion
26 Python Data Analysis Breakdown
27 Artificial Data Generation
28 Python Machine Learning Breakdown
29 Features Engineering
30 Seaborn for Data Visualization
31 Gaussian Naive Bayes
32 Principal Component Analysis (PCA)
33 Linear Regression
34 Polynomial Regression
35 K-means Clustering
36 Support Vector Machine (SVM)
37 Linear Discriminate Analysis (LDA)
38 t-SNE
39 Hierarchical Clustering
40 Time Series Analysis
41 Decision Trees
42 Random Forests
43 Reinforcement Learning
44 Natural Language Processing (NLP)
45 Building A Messages and Emails Spam FIlter
46 Market Segmentation
47 Analyzing House Pricing
48. Deep learning Breakdown
49 Artificial Neural Networks
50 Image Classification
51 Convultional Neural Networks
52 Automating Accountant Job
53. Building Web Apps
54 Flutter For Python Using Flet
55 Python SQL and Relational Databases (Using SQLAlchemy)
56. Pygame and RPG Advanced Game Development
And more
See all of those concepts? Do you know the amount of people suffering to understand concepts like Machine Learning, Deep Learning and Data Analysis? it is actually very large. But this won't be the case if you take this course!
They will be broken down to very simple terms,
Like explaining to a 5 years old how algorithms works!
Start now an lay a job in one of the hottest Programming language in the market now!
Because of the high diversity of topics in this course, this will be the only Python Course you will need to build any Python Software.
Plus I will be you mentor, so you can ask me any question any time and I will be more than happy to guide you through!