Advanced Python for Data Analysis 2021

Python 是一种高级通用编程语言，是解释型的。它是一门强大而动态的学科。它是由吉多·范罗苏姆设计的。它具有函数式、面向对象和命令式的特性。它具有 .py 或 .pyd 或 .pyc 等文件扩展名。与其他编程语言相比，Python 的代码和语法具有高度可读性。Python 易于学习、阅读和维护，具有交互模式特性，提供更好的可扩展性并支持 GUI 应用程序。它支持结构化和函数式编程。它是在 Python 软件基金会许可下获得许可的。它首次出现于 1990 年。 它受到了其他几种编程语言的影响，如 C、C++、Java、Haskell、Modula、Perl 等。

培训将包括以下内容；

1.在python中使用内置的标准模块（日期时间，数学，统计）

2. 使用套接字联网

3. 使用 apis 处理 Twitter 和电子邮件

4. 物联网数据科学模块（numpy、scipy、pandas、matplotlib）

5. 多线程和异常处理

因此，我们将在本课程中涵盖以下主题和模块：

安装

螺母和螺栓

网络和网络概念

套接字编程

聊天机器人应用程序

数据库和聊天应用程序

客户端元素和数据集

MP4 | Video: h264, 1280×720 | Audio: AAC, 44100 Hz
Language: English | Size: 2.39 GB | Duration: 6h 17m

What you’ll learn
Learn using in-built standard modules in python such as datetime, math, statistics
Learn networking using sockets
Learn to use apis for twitter and emails
Learn the data science modules in python such as numpy, scipy, pandas, matplotlib etc. along with multi-threading and Exception

Requirements
Basic knowledge about programming. Students should already know Python basics that are variables, numbers, strings, lists, functions, conditionals, and loops.
Description
Python is a high-level and general-purpose programming language and is interpreted. It is of a strong and dynamic type of discipline. It was designed by Guido van Rossum. It has functional, object-oriented and imperative features. It has file extensions such as .py or .pyd or .pyc etc. The code and syntax of Python are highly readable compared to other programming languages. Python is easy to learn, read and maintain and has interactive mode features and provides better scalability and supports GUI applications. It supports structured and functional programming. It was licensed under the Python Software Foundation License. It first appeared in the year 1990. It was influenced by several other programming languages such as C, C++, Java, Haskell, Modula, Perl, etc.

The training will include the following;

1. Using in-built standard modules in python (datetime, math, statistics)

2. Networking using sockets

3. Using apis for twitter and emails

4. Data science modules for iot (numpy, scipy, pandas, matplotlib)

5. Multi-threading and Exception handling

Hence, we will be covering the following topics and modules in this course:

Installation

Nuts and Bolts

Networking and Networking Concepts

Socket Programming

ChatBot App

Database and Chat App

Client Element and Datasets

Numpy

Numpy Arrays

Target Customers for this course will be anybody interested in programming. Basic knowledge about electronics & programming is sufficient to attend this course

Who this course is for:
Anybody interested in Python
Anyone interested in data science
Python and data science professionals