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Python Training & Information

Day 1.

Module 1

100% hands-on Introduction to Google Co-lab Installing Python and Jupiter notebook

1 Services/Tools covered
Services/Tools covered: Google Colab Python 3.0

Module 2

90% hands-on – 10% theory Variables naming and using variables avoiding the simple messages. Simple messages strings changing case in a string with methods. Combining or concatenating strings adding whitespace to strings with tabs or newlines. Name cases. Stripping names, numbers, integers, floats. Avoiding type errors with the str() function integers in adding. If statements (90% hands on – 10% theory): A simple example of conditional tests checking for equality. Ignoring case when checking for equality. Checking for inequality numerical comparisons. Checking multiple conditions. Checking whether a value is in a list. Checking whether a value is not in a list boolean. If-else statements. The if-elif-else chain using multiple elif blocks Omitting the else block. Testing multiple conditions. Using if statements with lists. Checking for special items. Checking that a list is not empty. Using multiple lists. Ordinal numbers. Styling if statements.

1 Services/Tools covered
Services/Tools covered: Google Colab Python 3.0 (3hrs)

Day 2.

Module 3

User input and while loops (90% hands-on – 10% theory): How the input() function works .Writing clear prompts. Using int() to accept numerical input.The modulo operator. The while loop in action. Letting the user choose when to quit. Using a flag. Using the break to exit a loop. Using continue in a loop. Avoiding infinite loops. Infinity. Using a while loop with lists and dictionaries. Moving items from one list to another. Removing all instances of specific values from a list. Filling a dictionary with user input.

1 Services/Tools covered
Services/Tools covered: Google Colab Python 3.0 (2hrs)

Module 4

Dictionaries (90% hands-on – 10% theory): A simple dictionary. Working with dictionaries. Accessing values in a dictionary. Looping through a dictionary. Looping through a dictionary’s keys in order. Loping through all values in a dictionary. Nesting. A list of dictionaries. A list in a dictionary. A dictionary in a dictionary.

1 Services/Tools covered
Services/Tools covered: Google Colab Python 3.0 (2hrs)

Day 3.

Module 5

FUNCTIONS (90% hands-on – 10% theory): Defining a function. Passing information to a function. Arguments and parameters. Returning a dictionary. Using a function with a while loop. Passing a list. Modifying a list in a function. Preventing a function from modifying a list. Passing a number of arguments. Mixing positional and arbitrary arguments. Using arbitrary keyword arguments. Storing functions in modules. Importing an entire module. Importing specific functions. Importing all functions in a module. Styling functions. Printing models.

1 Services/Tools covered
Services/Tools covered: Google Colab Python 3.0 (3hrs)

Same Module

Files and exceptions (90% hands-on – 10% theory): Reading from a file. Reading an entire file. File paths. Reading line by line. Making a list of lines from a file. Working with a file’s contents. Writing to an empty file. Writing multiple lines. Appending to a file. Exceptions handling the zero division error

1 Services/Tools covered
Services/Tools covered: Google Colab Python 3.0 (4hrs)

Day 4.

Module 6

Classes (80% hands-on – 20% theory): Creating and using a class. Setting a default value for an attribute. Modifying attribute values. Inheritance. The __init__() method for a child class. Defining attributes and methods for the child class. Overriding methods from the parent class. Instances as attributes. Modeling real-world objects

1 Services/Tools covered
Services/Tools covered: Google Colab Python 3.0 (4hrs)

Day 5.

Module 7

Databases (80% hands on – 20% theory): Introduction to MySQL

1 Services/Tools covered
Services/Tools covered: Google Colab Python 3.0

Same Module

Intermediate python 2 class room projects using all the concepts learned

1 Services/Tools covered
Services/Tools covered: Google Colab Python 3.0 (3hrs)

Day 6.

Module 8

ntroduction to Django One class room project using Django framework to build a web application

1 Services/Tools covered
Services/Tools covered: Django

Day 7.

Module 9

Class Project using real data and API Working with Matplotlib. Assignment: one project

1 Services/Tools covered
Services/Tools covered: Git and Git hub

Day 8.

Module 10.

Hands-on class project (10% theory, 90% hands) Data Analysis with python Vectorizing Operations withNumPy The operation and manipulation of pandas Visualization and Exploratory Data Analysis using matplotlib

1 Services/Tools covered
Services/Tools covered: Pandas, Numpy and Matplotlib
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Python Training & Information

$995
Early bird discount $100 till 10/30/2019.
Instructor:
Categories:
Reviews:

About this course

Python most popular programming languages which is in demand for software development and web applications. This is the most used programming languages in 2018 and will be in 2019 as reported by Github. Our Python course emphasizes real-world programming techniques, which are illustrated through interesting, useful examples. No matter what your ultimate goals maybe, if you work with a computer at all, you will soon be finding endless ways to improve your life by automating tasks and solving problems through Python programs that you create.

Why python?

Python most popular programming languages which is in demand for software development and web applications. This is the most used programming languages in 2018 and will be in 2019 as reported by Github.

How Will You Benefit From This Python Course?

Whether you’re new to programming or a professional software developer looking to dive into a new language, this course will teach you all of the practical Python that you need to get started on projects on your own.
Our Python course emphasizes real-world programming techniques, which are illustrated through interesting, useful examples. No matter what your ultimate goals maybe, if you work with a computer at all, you will soon be finding endless ways to improve your life by automating tasks and solving problems through Python programs that you create.
This is a 100% hands-on course. You will get over 300 practice programs besides coding with the instructor in the class.

Who is the instructor?

Our instructor has over 20 years of diverse background in software engineering and cloud computing whose students are working at Google, Apple, FaceBook, Cisco and many others.

What is the Course Duration?

32 hours spread over 4 weeks so that that you can practice as much as you can. Followed by a real-life project that you need to submit within two weeks after the course completion.

How about preparing for the interview?

You will be given additional help to prepare for the interview.

Syllabus

Python Python's most popular programming languages are in demand for software development and web applications. This is the most used programming language in 2018 and will be in 2019 as reported by Github.

Day 1. 0/1

Module 1

100% hands-on Introduction to Google Co-lab Installing Python and Jupiter notebook

1 Services/Tools covered
Services/Tools covered: Google Colab Python 3.0
1 hours

0/1

Module 2

90% hands-on – 10% theory Variables naming and using variables avoiding the simple messages. Simple messages strings changing case in a string with methods. Combining or concatenating strings adding whitespace to strings with tabs or newlines. Name cases. Stripping names, numbers, integers, floats. Avoiding type errors with the str() function integers in adding. If statements (90% hands on – 10% theory): A simple example of conditional tests checking for equality. Ignoring case when checking for equality. Checking for inequality numerical comparisons. Checking multiple conditions. Checking whether a value is in a list. Checking whether a value is not in a list boolean. If-else statements. The if-elif-else chain using multiple elif blocks Omitting the else block. Testing multiple conditions. Using if statements with lists. Checking for special items. Checking that a list is not empty. Using multiple lists. Ordinal numbers. Styling if statements.

1 Services/Tools covered
Services/Tools covered: Google Colab Python 3.0 (3hrs)
3 hours

Day 2. 0/1

Module 3

User input and while loops (90% hands-on – 10% theory): How the input() function works .Writing clear prompts. Using int() to accept numerical input.The modulo operator. The while loop in action. Letting the user choose when to quit. Using a flag. Using the break to exit a loop. Using continue in a loop. Avoiding infinite loops. Infinity. Using a while loop with lists and dictionaries. Moving items from one list to another. Removing all instances of specific values from a list. Filling a dictionary with user input.

1 Services/Tools covered
Services/Tools covered: Google Colab Python 3.0 (2hrs)
2 hours

0/1

Module 4

Dictionaries (90% hands-on – 10% theory): A simple dictionary. Working with dictionaries. Accessing values in a dictionary. Looping through a dictionary. Looping through a dictionary’s keys in order. Loping through all values in a dictionary. Nesting. A list of dictionaries. A list in a dictionary. A dictionary in a dictionary.

1 Services/Tools covered
Services/Tools covered: Google Colab Python 3.0 (2hrs)
2 hours

Day 3. 0/1

Module 5

FUNCTIONS (90% hands-on – 10% theory): Defining a function. Passing information to a function. Arguments and parameters. Returning a dictionary. Using a function with a while loop. Passing a list. Modifying a list in a function. Preventing a function from modifying a list. Passing a number of arguments. Mixing positional and arbitrary arguments. Using arbitrary keyword arguments. Storing functions in modules. Importing an entire module. Importing specific functions. Importing all functions in a module. Styling functions. Printing models.

1 Services/Tools covered
Services/Tools covered: Google Colab Python 3.0 (3hrs)
3 hours

0/1

Same Module

Files and exceptions (90% hands-on – 10% theory): Reading from a file. Reading an entire file. File paths. Reading line by line. Making a list of lines from a file. Working with a file’s contents. Writing to an empty file. Writing multiple lines. Appending to a file. Exceptions handling the zero division error

1 Services/Tools covered
Services/Tools covered: Google Colab Python 3.0 (4hrs)
4 hours

Day 4. 0/1

Module 6

Classes (80% hands-on – 20% theory): Creating and using a class. Setting a default value for an attribute. Modifying attribute values. Inheritance. The __init__() method for a child class. Defining attributes and methods for the child class. Overriding methods from the parent class. Instances as attributes. Modeling real-world objects

1 Services/Tools covered
Services/Tools covered: Google Colab Python 3.0 (4hrs)
4 hours

Day 5. 0/1

Module 7

Databases (80% hands on – 20% theory): Introduction to MySQL

1 Services/Tools covered
Services/Tools covered: Google Colab Python 3.0
1 hours

0/1

Same Module

Intermediate python 2 class room projects using all the concepts learned

1 Services/Tools covered
Services/Tools covered: Google Colab Python 3.0 (3hrs)
3 hours

Day 6. 0/1

Module 8

ntroduction to Django One class room project using Django framework to build a web application

1 Services/Tools covered
Services/Tools covered: Django
4 hours

Day 7. 0/1

Module 9

Class Project using real data and API Working with Matplotlib. Assignment: one project

1 Services/Tools covered
Services/Tools covered: Git and Git hub
4 hours

Day 8. 0/1

Module 10.

Hands-on class project (10% theory, 90% hands) Data Analysis with python Vectorizing Operations withNumPy The operation and manipulation of pandas Visualization and Exploratory Data Analysis using matplotlib

1 Services/Tools covered
Services/Tools covered: Pandas, Numpy and Matplotlib
4 hours

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