Python Certification Training in Manila, Philippines

Learn Python Programming Language from Basics to Advanced

  • 24 hours of Instructor led Training
  • Immersive hands-on training on Python Programming
  • Learn Python Programming core concepts-control flow, operators, functions, syntax & indentations
  • Learn Best Python Coding Practices
Group Discount

Description

Python Certification will assist you in mastering the concepts of Python and its libraries like SciPy, Matplotlib, Scikit-Learn, Pandas, NumPy, Lambda functions, and Web Scraping. Learn how to write Python Programming for Big Data systems such as Spark and Hadoop.  

Python certification is suitable for beginners, intermediate learners as well as Python experts. Learn Python from scratch and work on real-world projects and case studies to get extensive hands-on experience. 

Over the course duration, interact with the instructors in real-time, that is, listen, learn, interact, question, and apply.

Do you know what exactly is Python?

So what exactly is Python? It’s not as complicated as you think!

Python is a high-level performing, object-oriented, multi-purpose programming language. It has an integrated dynamic semantics which is mostly used for web development as well as app development. Python offers dynamic typing and dynamic binding, which makes it appealing in the field of Rapid Application Development. Also, Python supports packages and modules, encouraging code reuse and program modularity.

What Programming skills will you learn with this Python Certification Training Online?

  • About interpreters and Python Script
  • How to install Anaconda and Python distribution
  • To write Python code to implement string operations
  • To write Python code to understand and implement Python Data Structures
  • To write Python code to implement loop and control structures in R
  • To write Python code to create your own custom functions without or with arguments. Also, learn how to call them by passing arguments as per requirements
  • To write Python code to create modules as well as execute them
  • To write Python code to use Regular Expression and match pattern, parse data and so on
  • To write Python code to construct a class and define objects

The course curriculum has been designed in such a manner that you’ll receive the most advanced knowledge and skills. You can become an expert in Python by grabbing the opportunity to learn hands-on coding with guidance and reviews from our mentors. You will be learning from the best in the field as all our trainers and mentors are experienced professionals.

If you have a basic knowledge of programming concepts and object-oriented concepts and wish to make a career out of Python as a Software Engineer, Python Developer, Data Scientist, Data Analyst, Research Analyst or Software Developer, then choose the best Python certification course and make your dream career come true!

Python Tutorial Chapters

Chapter No

Python Tutorial Chapters

1

Python - Introduction

Get a brief idea of what this Python tutorial has to offer. Know about the main features of Python along with the history of its development.  Learn some important applications of Python, including data science, machine learning, image processing etc, along with who uses Python. 

2

Python - Getting Started

Gain a brief idea about Python Online. Learn how to install Python on your Windows and Linux machine with the help of the installation instructions provided in this module. Also, get acquainted with alternative Python distributions such as Anaconda and Canopy.

3

Python - Basic Syntax

Gain an understanding of Keywords, Identifiers and Statements to learn about the basic syntax of Python. Learn the rules of naming identifiers, Intends and Comments with suitable examples. 

4

Python - Variables

Acquire knowledge on the data type systems in Python, viz. Standard or Built-In data types, which include Numbers, Sequences and Mappings. Learn about Variables, Dynamic Typing and Mutability of Objects in this module. Moreover, gain an understanding of the input/output functions input() and print() along with appropriate examples.

5

Python - Numbers

This module deals with the representation of numeric data types, viz. int, bool, float, complex. Learn about the Built-in Conversion Functions such as int(), float(), complex(); as well as the Built-in Mathematical Functions such as abs(), hex(), oct(), pow(), round() with simple examples. 

6

Python - Strings

Get a detailed look at the characteristics of Python’s string data type and the different escape sequences. Learn various useful methods of built-in String class – such as changing cases, finding and replacing within the string, etc. String formatting and format() function is explained with suitable examples. 

7

Python - List and Tuple

Learn about Python’s built-in container types, List and Tuple. Know the similarities and the differences between the two. Gain an understanding of the built-in functions that can be used along with List as well as Tuple. The Conversion functions list(), tuple() and str() are illustrated in this chapter.

8

Python - Dictionary

Definition of Dictionary along with its representation and examples of dictionary objects. Learn how to access and update values in the dictionary. Gain an understanding of the built-in functions and dictionary class methods. Learn about the Keys(), values() and items() methods with suitable examples.

9

Python - Sets

Know everything about Sets and set() function that you need to know with the help of suitable examples. Learn about the different methods by which the set object can be modified. 

This module also explains how various set operations like union, intersection are performed using respective methods in Set class.

10

Python - Operators

This module deals with operators in Python, that perform various operations on Python objects. Learn about the arithmetic and logical operations defined in Python. Moreover, get to know the use of set operators corresponding to methods in Set class. Get to know about the identity, membership and bitwise operators.

11

Python - Conditional Statements

Get to know the proper definition of program and programming. Acquire the knowledge of logical programming and learn how the statements are executed. Learn how to use the different conditional statements, viz. if, else and elif with appropriate examples.    

12

Python - Loops

Gain a basic understanding of loops through this module. This module describes the importance and usage of while loop, for loop as well as nested loop in Python with the help of examples. Python’s loop control keywords break and continue have been dealt with in detail in this module.

13

Python – Built-in Modules

Python library is bundled with a large number of modules, each containing a number of utility functions. In this module, frequently used functions from various modules are explained with examples. The sys module and statistics module has also been covered. 

14

Python - User Defined Functions

Learn how to define a new function as per requirements and how to call it. Different features of defining and passing arguments to a function are explained with suitable examples in this module. Learn how to make a function return value. Moreover, calling the function by reference is also explained.

15

Python – Functional Programming

This module will give you an overview of some important tools supporting functional programming paradigm. Learn about iterator and generator functions in this module. It also deals with list comprehension and related tools in details.  Learn how to use the map(), filter() and reduce() functions.

16

Python - Custom Modules

This chapter will help you learn how to build a module and import functions from it. Learn how to use the various attributes of these modules under diverse programming situations. Additionally, study how to build a module and import functions from it.  

17

Python - Packages

This module deals with packages, as well as how to construct a package and import functions from it. Furthermore, build a package and install it for system-wide use with the help of setup tools module. The process of publishing module on Python package index repository has also been discussed.

18

Python - Exceptions

This module discusses Exceptions and the numerous predefined Exception classes present in a Python library. Get to know the various exception types. Learn how to use try, except and finally keywords to understand Python’s exception handling mechanism. Define customized exception classes and raise their instances.

19

Python - FileIO

Get acquainted with the built-in File object of Python in this chapter. Various file opening modes like append and simultaneous read/write are explained with relevant examples. A section in this chapter deals with file related exception handling. Moreover, learn how to perform read/write operations on a binary file.

20

Python - CSV

Learn what are Comma Separated Values (CSV) format. Learn about its Reader and Writer classes as well as convenience functions along with suitable examples. 

The various functions discussed are writer(), writerow(), writerows(), reader(), DictWriter(), writeheader(), DictReader(). This module also discusses, in brief, the Dialect class. 

21

Python – Database Connectivity

This chapter introduces the concepts of a relational database, explaining the basic SQL queries for CRUD operations with the help of SQLite and MySQL database. Learn how Python programming can be used to perform SQL operations on the SQLite database.

Here, MySQL connectivity is explained by installing PyMySql module.

22

Python – Tkinter

Get a deeper insight into Tkinter. Learn how to form a basic window and put various widgets like button, label, entry etc. Get to know its layout management with place(), pack() and grid() methods. Learn about Event handling mechanism and how to draw different shapes using the Canvas widget.

23

Python - OOP

Understand the difference between a procedure-oriented approach towards programming from an object-oriented approach. Learn how to build a user-defined class and set up its objects.

Additionally, the concept of constructor, instance attributes and methods are explained along with Python’s built-in property() function using examples.

24

Python - Decorator

Understand what a Decorator is and learn how to define a decorator. Understand the built-in property() function and how to use it as a @property decorator. Moreover,  learn about the @classmethod and @staticmethod built-in decorators as well. 

25

Python - Inheritance

In this chapter, take a look at Python’s implementation of the principle of inheritance. Understand the Syntax of Inheritance. Other topics discussed in this chapter are Overriding, multiple inheritance and Protected attributes.    

26

Python - Magic Methods

This chapter will help you understand what Magic Methods are. In this chapter, magic methods used for object customization are discussed. They are __new__(), __repr__() and __str__(). Get to know about operator overloading and object customization. MyTime class has been used to demonstrate operator overloading.

27

Python - Regex

This chapter explains all the functions that are defined in the regex module of Python’s standard library. This chapter demonstrates searching for, matching, finding and compiling regex patterns. Towards the end of the chapter, typical use cases of regex such as matching domain names are explained.

28

Python - CGI

Important features of Python’s implementation of the CGI protocol has been discussed. It describes how Apache server is configured for running *.py files as a CGI script. Various attributes, methods of FieldStorage class have been used to demonstrate how data is sent from a web client and result is redirected from the server. 

29

Python – Send Mail

This chapter deals with the SMTP protocol with the help of the smtplib module.

A suitable example is used to show how we can use Gmail by configuring its SMTP server to send an email from a Python script.

30

Python - Object serialization

Gain an understanding of serialization and deserialization. In this chapter, understand and learn pickle protocols, which is Python’s own serialization format. Serialization functionality of marshal and shelve module is also explained. Finally, learn how Python objects are represented in JSON format with the help of the JSON module.

31

Python - Multithreading

In this chapter, understand the principles of concurrent threads in a program. The threading module defines functions to initialize, start run and terminate a thread. We shall also see how a thread can be paused and resumed. This chapter takes a look at the concept of thread synchronization.

32

Python - XML

This chapter covers the implementation of the ElementTree API model. With the help of a suitable example, understand and learn how Python objects can be serialized in XML format and reconstructed back. Moreover, learn how to parse, modify an XML file and the comparison between DOM and SAX APIs.

33

Python – Socket Module

This chapter takes a look at the functionality of the 'socket' module that provides access to the BSD socket interface, and focuses mainly on connection-oriented TCP sockets. Understand the various Server Socket methods and learn how to set up a socket server as well as a client application.

34

Python - Dataclasses

Data classes module is the latest addition to Python’s standard library. The @dataclass decorator helps in auto-generation of constructor and operator overloading methods in a class. The functions asdict(), astuple() and make_dataclass() have been discussed with respective examples in this chapter. 

Why Python Certification?

Python has been voted as the most wanted technology of the year 2018, according to the 2018 Developer Survey by StackOverflow. Also, it has been ranked as the seventh most popular programming language in the world amongst software developers.

With various resources available in the market that can teach you to code in Python version 3 without any experience of coding in Python version 2, it is necessary that you make the right choice of course for you. Python 3 being the latest version of Python, is also the future. And starting with the latest version of a programming language is a decision that you will never regret.

The Python Certification course provided by KnowledgeHut is an instructor-led, 24 hours live session with 7- hours of MCQs and assignments. It also includes 22 hours of hands-on practical sessions with Python along with three use cases.

The Python certification training will introduce you to the world of Python and enable you to learn Python from scratch. It will expose you to its architecture, design philosophy, basics of scripts, applications, and packages through hands-on practical sessions.

What you will learn

Prerequisites

We recommend:

  • Knowledge of basic programming concepts
  • Knowledge of object-oriented concepts will be beneficial

3 Months FREE Access to all our E-learning courses when you buy any course with us

Who should Attend?

  • Web developers, programmers, engineers, big data scientists, etc
  • Professionals who want to strengthen their knowledge of Python
  • Suited for beginners and experienced professionals

KnowledgeHut Experience

Instructor-led Live Classroom

Interact with instructors in real-time— listen, learn, question and apply. Our instructors are industry experts and deliver hands-on learning.

Curriculum Designed by Experts

Our courseware is designed by industry experts who have real-world experience. Get the most advanced knowledge and skills.

Hands-on coding

Learn theory backed by practical case studies, exercises, and coding practices. Apply skills and knowledge effectively in the real world.

Expert Mentorship

Learn from the best in the field. Our mentors are all experienced professionals in the fields they teach.

Advance from the Basics

Learn concepts from scratch, and advance your learning through step-by-step guidance on tools and techniques.

Code Reviews by Professionals

Get reviews and feedback on your final projects from professional developers.

Projects

Jumbled Word

Build a small game to rearrange jumbled letters and create a word. A player is given a jumbled word, player will have to arrange the characters of the word and make a correct meaningful word.

Read More

Dice Rolling Simulator

Build a dice rolling simulator using Python, which will randomly select a number between 1 and 6. After selecting the number, it should print it and ask you if you would like to roll the dice again.

Read More

Tic-Tac-Toe

Create the classic Tic-Tac-Toe game (also called Noughts and Crosses) in Python using user defined functions, while loops etc. Player takes turns marking the spaces in a 3×3 grid.

Read More

Calculator

Calculators are handy and can be used to perform simple tasks using simple operations like addition, subtraction, multiplication and division. Create a calculator using operators in Python to add, subtract, multiply and divide.

Read More
Note:These were the projects undertaken by students from previous batches.  

Curriculum

Learning Objective:

Learn about the history of Python and its various uses. Learn to use interpreters and also learn about how Python scripts work on UNIX/Windows.

Topic Covered:

  • History of Python
  • Why to use Python?
  • Starting Python
  • Interpreter PATH
  • Using the Interpreter
  • Python Scripts on UNIX/Windows

Hands-on:

Learn about interpreters and Python Script.

Learning Objective:

Learn how to install Python distribution - Anaconda. Learn basic data types, strings & regular expressions.

Topic Covered:

  • Python Editors and IDEs
  • Install Anaconda

Hands-on:

Install Anaconda - Python distribution

Learning Objective:

In this module, you will learn to convert messy text into something useful.

Topic Covered:

  • String Operations
  • Data Types & Variables
  • Commonly used Operators

Hands-on:

Write Python code to implement string operations.

Learning Objective: 

Learn the various data structures that are used in Python.

Topic Covered:

  • Arrays
  • Lists
  • Tuples
  • Dictionaries
  • Sets

Hands-on:

Write Python Code to understand and implement Python Data Structures.

Learning Objective:

Learn all about loops and control statements in Python.

Topic Covered:

  • For Loop
  • While Loop                
  • Break Statement
  • Next Statements
  • Repeat Statement
  • if, if…else Statements
  • Switch Statement

Hands-on: 

Write Python Code to implement loop and control structures in R.

Learning Objective:

Write user-defined functions in Python. Learn about Lambda function. Learn the object oriented way of writing classes & objects.

Topic Covered:

  • Writing your own functions (UDF)
  • Calling Python Functions                 
  • Functions with Arguments
  • Calling Python Functions by passing Arguments
  • Lambda Functions

Hands-on:

Write Python Code to create your own custom functions without or with arguments. Know how to call them by passing arguments wherever required.

Learning Objective: 

Learn to build modules and install packages.

Topic Covered:

  • The Import Statement
  • Module Search Path
  • Package Installation Ways

Hands-on:

Write Python Code to create modules and execute them.

Learning Objective: 

Learn about Regular Expression Objects, subexpressions, tips and tricks to implement while you code.

Topic Covered:

  • RE Objects
  • Pattern matching
  • Parsing data
  • Subexpressions
  • Complex substitutions
  • RE tips and tricks

Hands-on:

Write Python Code to use Regular Expression and match pattern, parse data and so on.

Learning Objective: 

Gain knowledge on OOPs to code easily and efficiently. Learn to construct classes and define objects.

Topic Covered:

  • Introduction to Python Classes
  • Defining Classes
  • Initializers
  • Instance Methods
  • Properties
  • Class Methods and Data
  • Static Methods
  • Private Methods and Inheritance
  • Module Aliases

Hands-on:

Write Python code to construct a class and define objects.

Learning Objective: 

Study Use Cases to explore Python

Topic Covered:

  • Use Case

Hands-on:

Use cases covering conditional statements, functions, classes, modules, regular expressions.

Python Certification Process

What is Python

Python programming language is a high-level, interpreted and object-oriented language that is used for dynamic semantics and rapid application development. It is a very lucrative language that is very easy to learn and understand. It also comes along with several libraries and packages that help in the development process.

Guido van Rossum conceptualized Python in the 1980s while he was working as an implementer of ABC language at the National Research Institute of Mathematics and Computer Science. He wanted to create a language whose scripting was similar to ABC and he also had access to the AMOEBA, a distribution system. In 1991, he released the first version of the language under the name Modula 3.

There was a 1970s hit BBC comedy show named ‘Monty Python’s Flying Circus’. The creator of Python, Guido Van Rossum was a big fan of the show. He liked the name Python as it was short and mysterious and thus named his pet project ‘Python’.

Manila, Philippines is home to several companies like Accenture, Lingaro, GroWorx, Novare Technologies Inc., Yondu Incorporated, SyCip Gorres Velayo and Company, Willis Towers Watson, Movent Inc., etc. that are looking for Python developers to join their teams. The reason behind the popularity of Python include:

  • Community: Thanks to the huge, open-source community that supports Python, the packages are updated and there are several projects available that you can integrate with your own project.
  • Corporate sponsor: Python is an official language at Google. They update and maintain all the guides and tutorials of Python.
  • Academics: It is used for research purposes because of its usage in general purpose tasks.
  • Efficiency: Since it is such a versatile language, it can be used in any environment with little to no performance loss.
  • Learning: Its syntax and short learning curve makes it an easy language to learn.

The top reasons to learn Python including the following:

  • Ease of learning: Its syntax is similar to English which makes it easy to learn and write.
  • General-purpose: Python has found application in different domains like web development, computing, data science, machine learning, etc.
  • Big community: Python has the support of a big, open-source community that helps in maintaining and updating the packages.
  • Flexibility: Python is a flexible language that can be used with other programming languages as well.
  • Business use: Python is extensively used in data science that makes it more attractive to management.

Below are the 5 steps to help you get started with Python as a beginner:

  1. Understand why Python: The first step is to know why you want to learn Python. This will help you stay motivated.
  2. Install Python: Next step is to install Python either through the official website or the Anaconda package manager.
  3. Use IDE: IDEs are used for debugging code. Solving errors will help you learn the language better.
  4. Learn basics: You need to start learning the basics of Python using blogs, courses, and video tutorials.
  5. Implementation: This last step is to start implementing your knowledge. Start with writing codes and then move on to creating projects.

Here are a few topics that you must understand to learn Python fast:

  • Help in Python: The help() function tells you the working of an object.
  • Indentation: Indentation is used to define the code block’s code.
  • Data types: You need to have a thorough understanding of data structures like lists, dictionaries, and tuples.
  • Flow control statements: This includes control flow statements like if, for, while, and range(<number>).
  • Functions and classes: def keyword is used for functions and class keyword is used for classes.
  • Exceptions: It is handled using the Try-except
  • I/O: Built-in libraries are used for file handling.
  • Importing libraries: External libraries are imported in the main program using import <library> or from <library> import <function> keyword.

Python Certification in Manila, Philippines

No, Python programming language is not difficult to learn. It has an easy syntax. The inbuilt library and the built-in functions make it easy to program.

Python is easy to learn for beginners. Here are the top reasons that make it easy for beginners to learn Python:

  • Thanks to its data structures, Python offers an effective approach to coding.
  • It can be used to learn other programming languages as it is based on object-oriented programming.
  • The built-in library helps in saving time, increasing efficiency, and decreasing program’s complexity.
  • Its syntax resembles the English language that makes it easy to learn.
  • It has a gradual learning curve.

A complete newbie will take about 3 months to learn Python if he/she dedicates 4 hours a day. However, if you have had experience with programming before, you will be able to learn Python in just a month as it has a very easy syntax.

Here are 4 best ways to learn Python programming language in 2019:

In Manila, a Python developer can earn PHP 421,625 per year.

How to Learn Python in Manila, Philippines

As a beginner, here is how you should start learning Python the right way:

  • Figure out what motivates you

Knowing why you want to learn Python will help you stay motivated during the whole learning procedure. Select an area in which you want to implement your Python knowledge. Examples of such domains include Games, websites, data science, mobile applications, automating work, machine learning applications, and hardware/sensor/robots development.

  • Learn the basic syntax

The next step is to start learning Python. Python has a very easy syntax that is very familiar to the English language. If you have had experience in programming before, learning Python will take only a small amount of time. By now, you will be able to create a few basic problems.

  • Develop Structured projects

This step involves creating structured projects. This will help you learn Python effectively and efficiently. This will also help you improve your portfolio.

If you want to learn Python version-2, here are the 3 best ways to do it:

  • Python 2 Course: This self-study course is meant for beginners. The website has an online interpreter through which you can get hands-on experience on the language. You can even download the whole site.
  • Python 2.7 Tutorial: This course is based on ‘mybringback’, the YouTube channel. Meant for beginners, this course contains tutorial videos as well as learning material. It is free and concise.
  • Learn Python 2: This is a 22-part course that was made from two Python courses- Google’s Python class and Django girl’s Python tutorial. You will be able to finish the course in 3 to 4 weeks.

Learning Python over other programming language offers the following 5 benefits:

  • Its general-purpose tasks usability is used for powering major projects in the field of big data, data mining, and automation.
  • Since it is so easy to learn and read, it is helpful in programming as well as research purposes.
  • The packages of Python are updated regularly by its global community to help keep the language up to date with the latest market trends.
  • Python helps in carrying out the development process smoothly through frameworks like Django, Ruby on Rails, etc.
  • Python coders have a more productive coding environment than other programming languages like C# or Java.

The 5 best resources to learn Python are:

  • Learn Python 2 - Codecademy: This 25 hour long course will cover all the fundamentals of the Python programming language. You don’t require any prerequisite for this course.
  • KnowledgeHut: This course is for newbie programmers who want to become an expert in Python programming language. The course covers basic Python’s topics like functions, operators, control flow statements, indentation, and syntax. You will also get an opportunity to work on 3 live projects.
  • Real Python: This course will help you learn about web programming using Python. There are several frameworks that are used for web development like web2py, Django, and Flask.
  • Learn Python, it's cake - Udemy: This 7-hour long free course is for absolute beginners that covers up the basics of Python programming.
  • Python for entrepreneurs: If you want to use Python for your business, you should enroll in this course. This course costs $89 USD and takes 19.3 hours to complete.

Here is how you can learn Python 3 programming from scratch in 5 easy steps:

  1. Find motivation: There are so many domains in which Python 3 can be used. You need to find the one that motivates you the most. Here are a couple of domains in which Python is used:
    • Data science
    • Machine learning
    • Game programming
    • Web development
  2. Learning basics: You need to start by learning the basics of Python and then move on to its libraries. The following courses will help you get an in-depth knowledge of Python:
  3. Implementation: Practice your programming skills. You can either start working on your own projects or find an alternate solution to an already-solved problem. 
  4. Social coding: Participate in open-source projects. This will help you understand how industry-grade projects work. You can easily find such projects on Github.
  5. Competitions: You can try participating in online competitions. It will help improve your programming and problem-solving skills.

Python is the most popular language used in the field of Data Science. Here is how you can learn Python for data science in 7 steps:

  • Step 1: Set up the environment essential for programming by downloading Anaconda.
  • Step 2: Learn the basics of language and its libraries. Familiarize yourself with concepts like dictionaries, lists, tuples, and import/export of libraries and functions, etc.
  • Step 3: This step includes cleaning data and correcting it. This involves finding missing data and removing unnecessary ones.
  • Step 4: Knowledge of data science libraries like NumPy, SciPy, scikit-learn, matplotlib etc. is very important as they will help you in creating a project.
  • Step 5: Matplotlib library of Python is used for data visualization. It will help you understand the data better.
  • Step 6: Machine learning skills are required for data science projects. Libraries like Scikit-learn are used for helping in creating the ML model.
  • Step 7: You can participate in online competitions like Kaggle that will help you improve your data science skills.

Python Developer Salary in Manila, Philippines

For a Python developer in Manila, the annual pay is PHP 421,625.

In Manila, a Python developer can earn an average of about PHP 421,625, which is high in comparison to the salary of a Python developer in Davao City, which is PHP 158,709.

A Python developer can earn an income of about PHP 421,625 in Manila as opposed to Cebu city where the average salary of a Python developer is PHP 306,511.

In  Philippines, there are several organizations that are shifting towards data science and machine learning, and the most common used language in this field is Python. This has increased the demand of Python developers. So, companies like Sprobe Inc., Reed Elsevier Shared Services Inc., Octal Philippines Inc., PubLiCus Asia Inc., Modern Machines Software Inc., etc. are actively looking to hire Python developers.

In Manila, a Python developer earns several benefits. Since they are high in demand right now, they are able to get a handsome salary. The city also offers job growth and opportunities.

The perks and advantages of a Python developer in Manila include:

  • Networking opportunities
  • Job growth
  • Multiple job opportunities
  • Can work in their chosen field of interest

The companies that are looking for Python developers to join their team in Manila include Lingaro, Accenture, Novare Technologies Inc., GroWorx, SyCip Gorres Velayo and Company, Yondu Incorporated, Willis Towers Watson, Movent Inc., Emapta Versatile Services Inc., Movent Inc., etc.

Python Conferences in Manila, Philippines

S.NO.CONFERENCE NAMEDATEVENUE
1.Intro to Python

September 10, 2019- September 11, 2019

Manila, Metro Manila, Philippines

  1. Intro to Python, Manila

    • About the Intro to Python Conference: It is an introductory conference wherein the attendees will be taught the basics of Python as a programming language.
    • Event Date: September 10, 2019-September 11, 2019
    • Venue: Manila, Metro Manila, Philippines
    • Days of Program: 2 Days
    • Timings:  9:00 AM- 6:00 PM on both days
    • Purpose: It enables coders to learn Python and learn how to apply it in real-time applications.
    • How many speakers: NA
    • With whom can you Network in this conference: You can interact with both experts and beginners to explore Python as a programming language.
    • Registration cost: $539
    S.NO.CONFERENCE NAMEDATEVENUE
    1.Tech Summit 2018November 24, 2018

    Uptown Centre 2, BGC, Taguig city, Manila

    1. Women who code Manila Tech Summit 2018

      • About the Summit: The event invited 32 speakers and they shared their experiences about best practices, new technologies, leadership, soft skills and more. 
      • Event Date: November 24, 2018
      • Venue: Uptown Centre 2, BGC, Taguig city, Manila
      • Days of Program: 1 DAY
      • Timings:  9:00 AM- 5:00 PM 
      • Purpose: This event was crafted to help innovate, level up and grow in your tech career.
      • How many speakers: 32
      • Registration cost: ₱0- ₱3149.70

      Python Developer Jobs in Manila, Philippines

      A Python developer can earn an average of about PHP 422,000 per year in Manila.

      Manila, Philippines is filled with opportunities for Python developers. The startup ecosystem of Manila is ranked 1 in the Philippines and 84 globally. It is home to several startups and big corporations working on systems powered by Python. This makes the scope for Python developers in Manila quite high.

      The companies in Manila looking for Python developers are:

      • Modern Machines Software Inc.
      • Reed Elsevier Shared Services Inc.
      • PubLiCus Asia Inc.
      • Sprobe Inc,
      • Octal Philippines Inc.

      You can meet fellow Python developers in Manila through the following groups:

      As a Python developer you will be responsible for:

      • Writing code
      • Designing and implementing applications
      • Protecting data through security measures

      Learn Python Programming in Manila, Philippines

      Here are the reasons why one should learn Python programming:

      • Popularity and potential for high salaries: Python programming language is in demand right now and so are skilled Python developers. It is one of the reasons why Python developers earn well. In Manila, a Python developer can earn about PHP 422,000 per year.
      • Extensible and portable: Python is portable and extensible. This makes it useful in performing cross-language operations. It supports major platforms like Solaris, Mac, PlayStation, and Linux.
      • Simple and Easy to learn: Python syntax is very easy to learn and understand. It is a high-level, interpreted language with the support of thousands of developers across the globe.
      • Web Development: Python is used in different frameworks that are used in web development. Most of these frameworks are coded in Python and so they run Python code faster and more efficiently.
      • Testing Framework: Python is used by testing networks for debugging and workflows. Companies use them for validation of their ideas and products.
      • Computer Graphics: The Tkinter library allows creating smoother interfaces in desktop applications. For developing games, you can use the ‘pygame’ module.

      If you want to create your first program in Python, you need to follow the below-mentioned steps:

      • Step 0: Type the command ‘Python—version’ to check whether Python is installed in your system or not.
      • Step 1: Write the code in any text editor. For example, print “Hello world!”
      • Step 2: Save the file as <filename>.py. The extension will tell the interpreter is a Python file.
      • Step 3: Fire up the command terminal or prompt, go to the directory where the file is stored and then use the command ‘<filename>.py’.Output: Hello world!

      The 2 different ways to run a Python program:

      1. Using a Python shell for running the program
        • Fire up the IDLE (Python GUI) file
        • Write the Python script and press enter
      1. Using a file for running a Python program

        • Write the code and save it with the ‘.p’ extension
        • Fire up the terminal and go to the location of the file 
        • Type the command ‘Chmod a+x filename.py’ to run the file.
        • Type ./filename.py to run the program.

      There are 2 ways to run a Python script on Windows:

      • Through the Python REPL (interpreter)

      First, make sure that Python is installed in your system by typing the following command

      • Python—version

      If the classpath has the Python executable binary, you can enter the REPL shell by typing Python. 

      • Running a Python program file containing the commands
      • Open the command prompt and go to the location of the file.
        • For example:>> C:\Users\y\hello.py   - For Windows$ /usr/bin/hello.py          - For Linux (Ubuntu)

      Here is how you can effectively run Python scripts on Mac OS X:

      • Write the code in the document editor.
      • Add /usr/local/bin in the shell search path to run the Python script from the terminal.
      • If you want to run the Python script from Finder, here are two ways to do so:
        • Drag it to the PythonLauncher
        • Make PythonLauncher the default application for opening the script through the Finder. 
      • If you want to run Python script with GUI, initialize the script using Pythonw.

      Python Applications

      Python is a programming language that can be used in the following four applications in the real world:

      1. Web application development: Python is extensively used in web application developments using frameworks like Pyramid, Bottle, Flash, and Django. It helps in smooth communication between different protocols and interfaces.
      2. Academics: Python is one of the best languages to be used for academic and research purposes. The different libraries it offers allows it to be used in fields like Data Science, Machine Learning, etc. Examples of such libraries include Pandas, NumPy, SciPy, Scikit-learn, Matplotlib, etc.
      3. GUI-based applications: The Tkinter library of Python is a GUI library used to create desktop applications with smooth interfaces.
      4. Business and enterprise applications: Because of its readability, scalability, and extensibility, Python is used for building and creating large applications like ERP and e-commerce. The libraries used for this are Tryton and Odoo.

      Some of the biggest and the most successful businesses in Manila make use of Python in different ways-

      1. Accenture
      2. Yondu Incorporated
      3. Lingaro
      4. Movent Inc.

      Python Setup

      Python doesn’t depend on the system it is run on. You can just write the script and run it on any system.

      • There are different methods to install Python on different operating systems.
      • Once you have installed Python on your system, you can start to write and run Python scripts.

      Here is how you can download and install Python 3 in Windows through the Anaconda Python package:

      • Go to the official website of Anaconda:
      • From the menu, click on the Anaconda tab and then select the Download tab.
      • Now, depending on your operating system, select your download.
      • Initiate the installation process of the Anaconda Package. The whole process takes less than 10 minutes.
      • Initialize and update Anaconda
        • From the Application Launcher window, select the Conda option.
        • Open the command line and type in the following command to check if Conda is installed or not.
          • Conda -V

      Here is how you can download and install Python on Mac OS X in 3 easy steps:

      1. Install Xcode: Install Xcode by typing in the following command:

      $ Xcode-select --install

      1. Install brew: Next comes the installation of Apple’s package manager Homebrew.:

      /usr/bin/ruby -e "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/master/install)"

      To confirm the installation, use the command: brew doctor

      1. Install Python 3: For installing Python, use the following command:

      brew install Python.

      For downloading and installing Python on Ubuntu, you need to follow these steps:

      • The first step is updating the apt-get package. For this, you need to open the terminal and use the following command:

      $ sudo apt-get update

      • For installing Python 3.6, you need to type in the following command:

      $ sudo apt-get install Python3.6

      • To run Python 3.6, type in the following command:

      $ Python3

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      Faq

      The Course

      Python is an object-oriented, interactive programming language which is supple and allows the lucid expression of concepts in fewer lines of code than in other languages. It is widely deployed for processing text, numbers, images or scientific data, and finds popular application in many development environments. Our course will hand hold you through the various fundamentals of Python going from basic to advanced and helping you master the language in a short time. Our experienced instructors will help you understand the fundamentals and give you hands-on training in handling and delivering Python packages. You can get up to speed with the latest best practices in coding with this multi-paradigm programming language that is actively used both in industry and academic circles. Python is among the most in-demand programming languages and Python developers can earn upto $116, 379 annually. This is the best time to learn this language.

      You will learn:

      • How to use the Python and its environment
      • How to use Python functions to manipulate data
      • How to use Python modules, regular expressions and object oriented concepts

      By the end of this course, you would have gained knowledge on the use of Python programming language to build applications.

      There are no restrictions but we recommend having basic programming knowledge.

      Yes, KnowledgeHut offers python programming training online.

      On successful completion of the course you will receive a course completion certificate issued by KnowledgeHut.

      Your instructors are Python experts who have years of industry experience. 

      Finance Related

      Any registration canceled within 48 hours of the initial registration will be refunded in FULL (please note that all cancellations will incur a 5% reduction in the refunded amount due to transactional costs applicable while refunding) Refunds will be processed within 30 days of receipt of the written request for refund. Kindly go through our Refund Policy for more details.

      KnowledgeHut offers a 100% money back guarantee if the candidate withdraws from the course right after the first session. To learn more about the 100% refund policy, visit our Refund Policy..

      The Remote Experience

      In an online classroom, students can log in at the scheduled time to a live learning environment which is led by an instructor. You can interact, communicate, view and discuss presentations, and engage with learning resources while working in groups, all in an online setting. Our instructors use an extensive set of collaboration tools and techniques which improves your online training experience.

      Minimum Requirements: MAC OS or Windows with 8 GB RAM and i3 processor

      Have More Questions?

      Python Programming Course in Manila

      The ?Pearl of the Orient? tag suits Manila perfectly. Because once you get past the shell of towering sky scrapers and congested roadways, you?ll find a city that is rich in culture and tradition. This thriving megapolis is one of Asia?s fastest developing and is the economic and political capital of Philippines. It is home to several banking and finance, retail, transport, tourism, real estate, manufacturing, petroleum, and IT companies. Off late Manila has reinvented itself into a scientific and educational hub and houses several institutions that provide world class infrastructure to students. There are also numerous sport facilities, and other culturally and historically significant venues where once can go for some well-deserved leisure. If you want to live and work in this city you can pursue some of KnowledgeHut?s globally recognized courses such as, PRINCE2, PMP, PMI-ACP, CSM, CEH, CSPO, CMMI-DEV, Scrum & Agile, Agile User Stories, MS courses and others. Note: Please note that the actual venue may change according to convenience, and will be communicated after the registration.