$990 – $1,099

Python Immersive • Start a Career with Python (2 weeks)

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Practical Programming (3rd Fl.)

49W 33 street

New York, NY 10001

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Description

Python Immersive

Start a Career with Python

October 9th - October 20th, Total in-Class Hours: 70

What this program is about:

Our program designed to be a base for a career in the tech industry. Learn from scratch to comfortably program in Python. We are teaching the fundamentals of programming, and the best practices for real life opportunities. After finishing our program, you will have a solid foundation for career in Data Science, Application development, and information technology operations. Get started in the world of software development, and go from zero knowledge of programming to comfortably writing small to medium-sized programs in Python.

· Gain a fundamental understanding of Python Programming Language

· Become a proficient Python programmer by learning along with skilled mentors

· Learn how to search and navigate the tech documentation and efficiently handle errors and exceptions

· Get comfortable developing Python programs on your own through a series of coding exercises

· Learn how search and navigate the tech documentation and efficiently debug your code

· Become familiar with industry standards and learn the best practices for writing code

· Master your programming skills by working on real life projects; great for a resume building

· Get yourself ready for a job interview in the tech industry

· Create two of your projects for your portfolio of code

If you have questions please contact us at class@programwithus.com

Who this program is for:

Novice and people with no previous programming experience, seeking a comprehensive course to enter the tech industry.

Schedule:

Two weeks, Monday to Friday from 10am to 5pm. Total in-Class Hours: 70

Typical studying day starts at 10pm with a previous day recap and completing previous exercises. Lecture on new topics takes about two hours and starts at 11.00pm. After lecture, students start working on new exercises with instructor guidance. Around 3pm students present and discuss their work with instructors, learn alternative solutions, and best practices from instructors and invited professional programmers.

Career services:

  • By the end of second week you would have a portfolio of projects and code samples on GitHub to show to employers.

  • We will guide you step by step through the process how to build and improve your resume for an Entry-Level position in the Tech industry.

  • We will teach you the best practices on GitHub and help you organize your code to show a portfolio of projects to employers.

  • We will help you to deliver your resume to a startup community.

Python Immersive syllabus

Week one

Day 1

  • Terminal commands
  • Variables
  • Data types: strings, integers, floats, lists
  • For loops
  • Practical Exercises
  • Git versions of common source management concepts and commands

Day 2

  • Functions
  • Data types: tuples, dictionaries, sets
  • If statements
  • While loops
  • Indexing and slicing
  • Python's datetime module
  • Practical Exercises

Day 3

  • Reading from a File
  • Making a List from a File
  • Analyzing a File’s content
  • Regular expressions
  • Writing to a File
  • Appending to a File
  • Practical Exercises

Day 4

  • Program structure
  • Args and Kwargs
  • Exceptions
  • Assert statements
  • Working on projects

Day 5

  • Week 1 Review and Q&A
  • Working on projects
  • Weekly Quiz

Week two

Day 1

  • Big-O notation
  • Data structures
  • Bubble Sort
  • Insertion sort
  • Selection sort
  • Merge sort
  • Exercises
  • Binary search

Day 2

  • Creating Objects
  • Classes and Methods
  • Relational databases
  • SQLite
  • Exercises

Day 3

  • Python and the Web
  • Web scraping
  • Exercises

Day 4

  • Modular Programming
  • Working on Project

Day 5

  • Week 2 Review and Q&A
  • Resume builder session
  • Portfolio of code review
  • Projects presentation

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Date and Time

Location

Practical Programming (3rd Fl.)

49W 33 street

New York, NY 10001

View Map

Refund Policy

Refunds up to 1 day before event

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