
Install Python on Windows by downloading from python.org, add Python 3.7 to PATH, install the launcher, verify with the command prompt, and launch IDLE to run a hello world script.
Master dynamic typing in Python by creating variables with simple assignment; inspect integers, floats, and strings, convert types with type() and type casting, and use chain and multi-variable assignments.
Discover Python keywords and identifiers, learn which words are reserved and cannot be used as variable names, and master creating clear identifiers with underscores or camelCase.
Build a Python password generator using the random module and the sample method to create passwords of a given length from lowercase, uppercase, digits, and special characters, then print them.
Explore string methods in Python using inbuilt methods on strings, such as format, lower, upper, capitalize, title, isalpha, isdigit, index, find, and strip, and learn string immutability.
Learn how sets work in programming, including creation, immutability rules, membership tests, and operations like add, remove, discard, union, and intersection, with practical examples.
Set up a tic-tac-toe game by initializing a nine-box board, importing and seeding the random module, and drawing the board in a main loop.
Learn how Python distinguishes syntax errors from exceptions and how to raise and handle them with try, except, else, and finally blocks, including division errors, file not found, and assertion.
Learn to build a scientific calculator using a math module, handling add, subtract, multiply, divide, sin cos tan, square root, and radian degree conversions with string input parsing.
Develop a scientific calculator by using a math module, parsing user input into doms, and evaluating expressions with an interpreter while handling zero-division and invalid input exceptions.
Explore object oriented programming in Python by building classes with attributes and behaviors, creating instances, and using self, constructors, and methods. Learn core concepts like inheritance, encapsulation, and polymorphism.
Explore how generators replace explicit iterators for looping, offering memory-efficient iteration via generator expressions and the for loop, with examples reversing a string and comparing with list comprehension.
Explore Python copy semantics by comparing shallow copy and deep copy using the copy module, showing how shallow copy copies references and deep copy creates independent nested objects.
Explore the regex search method, its advantage over match, and how to use flags and groups to extract text from a line with case-insensitive, multi-line searches.
Welcome to Python Programming world: most popular language skill to have in 2018. You are going to learn every bit of python language in this course so that you can apply your knowledge in real world apps.
You will learn:
1. Android game and app development with Kivy+Python
2. Python basics and advance
3. Important pygame module
Questions that most beginners ask me :
Is Python A Good First Programming Language To Learn?
Even though it has not yet been adopted as a first language by many computer science programs, Python is widely seen by industry experts as a great first programming language when learning to code and its extensive use in SpaceX to automate and handle technologies to launch rockets, Instagram, Google to support their backends and Many companies to support and execute ML and Deep Learning Algorithms; Its undoubtedly No.1 Programming Language to learn.
For starters, the syntax of Python is simpler than that of most other major programming languages, with fewer exceptions and special cases. It also tends to use plain English keywords in place of the system of punctuation that has to be memorized in other languages, making it easier to learn to code. Given these conventions, Python code tends to appear as less of a "jumble" to newcomers than it does in comparable languages.
Another great feature of Python is the ubiquity of its use. While Python is optimized for development on Linux and Unix systems, interpreters are available for just about every major operating system. All implementations of Python are supported by an excellent standard library, which means that new students can very quickly move on to creating actual functional programs that are useful. Additionally, the standard implementation of Python, CPython, is free and open source.
What Type Of Jobs Are Available To Python Programmers?
In the job market, if you observe the trends; Python is often looked as a strong language to support some primary language that is more broadly used like C or Java. But Lately, with the evolution of ML and Deep Learning Algorithms; it is highly demanded skill to have in 2018 and later. There are a variety of jobs that one can get focusing exclusively on Python development, however. Many of these jobs will be in building and improving the internal tools that a company uses to create its finished marketable products, rather than working on the finished product itself.
One specific economic sector where the presence of Python programming is particularly strong is the geospatial industry. This is a critical industry that deals in navigational tools such as GPS, radar and light measurements.
If you're interested in web applications, Python is a better choice for development (working with the back-end or server side) rather than design (creating the actual finished front-end that site visitors interact with). As mentioned previously, Google employed Python for many components of its search engine, and it is quite widely used in the data mining industry.
Finally, Python can also be used for game development. Some famous examples of games developed either entirely or in large part with Python include EVE Online, Civilization IV, the Battlefield game series and the Mount & Blade games. The popular development environment Blender is written in Python.
TOPICS TO BE COVERED IN THIS COURSE:
Installing Python
Running Python Code
Strings
Lists
Dictionaries
Tuples
Sets
Number Data Types
Print Formatting
Functions
Scope
args/kwargs
Built-in Functions
Debugging and Error Handling
Modules
External Modules
Object Oriented Programming
Inheritance
Polymorphism
Encapsulation
Advanced Methods
Copy Module
Decorators
Iterators
Android development with Kivy
Closures
and much more!
PROJECTS
Minor Projects (Basic to advance):
Password generator
Domain Formatting
Star Pattern
Stop timer
Tic Tac Toe
Simple word count
Scientific calculator
Rock Paper Scissors
Credit card Validator
Punctuation removal
Major Projects:
Flappy Bird
2048 game